1
|
Kinnersley B, Jung J, Cornish AJ, Chubb D, Laxton R, Frangou A, Gruber AJ, Sud A, Caravagna G, Sottoriva A, Wedge DC, Booth T, Al-Sarraj S, Lawrence SED, Albanese E, Anichini G, Baxter D, Boukas A, Chowdhury YA, D'Urso P, Corns R, Dapaah A, Edlmann E, Greenway F, Grundy P, Hill CS, Jenkinson MD, Trichinopoly Krishna S, Smith S, Manivannan S, Martin AJ, Matloob S, Mukherjee S, O'Neill K, Plaha P, Pollock J, Price S, Rominiyi O, Sachdev B, Saeed F, Sinha S, Thorne L, Ughratdar I, Whitfield P, Youshani AS, Bulbeck H, Arumugam P, Houlston R, Ashkan K. Genomic landscape of diffuse glioma revealed by whole genome sequencing. Nat Commun 2025; 16:4233. [PMID: 40335506 PMCID: PMC12059081 DOI: 10.1038/s41467-025-59156-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 04/11/2025] [Indexed: 05/09/2025] Open
Abstract
Diffuse gliomas are the commonest malignant primary brain tumour in adults. Herein, we present analysis of the genomic landscape of adult glioma, by whole genome sequencing of 403 tumours (256 glioblastoma, 89 astrocytoma, 58 oligodendroglioma; 338 primary, 65 recurrence). We identify an extended catalogue of recurrent coding and non-coding genetic mutations that represents a source for future studies and provides a high-resolution map of structural variants, copy number changes and global genome features including telomere length, mutational signatures and extrachromosomal DNA. Finally, we relate these to clinical outcome. As well as identifying drug targets for treatment of glioma our findings offer the prospect of improving treatment allocation with established targeted therapies.
Collapse
Affiliation(s)
- Ben Kinnersley
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK.
- UCL Cancer Institute, 72 Huntley St, WC1E 6DD, London, UK.
| | - Josephine Jung
- Institute of Psychiatry, Psychology and Neurosciences, Kings College London, Strand, WC2R 2LS, London, UK.
- Department of Neurosurgery, King's College Hospital NHS Foundation Trust, Denmark Hill, SE5 9RS, London, UK.
| | - Alex J Cornish
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Daniel Chubb
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Ross Laxton
- Department of Clinical Neuropathology, King's College Hospital NHS Foundation Trust, Denmark Hill, SE5 9RS, London, UK
| | - Anna Frangou
- Cancer Genomics, Big Data Institute, Nuffield Department of Medicine, Old Road Campus, OX3 7LF, Oxford, UK
| | - Andreas J Gruber
- Department of Biology, University of Konstanz, Konstanz, 78464, Germany
| | - Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Giulio Caravagna
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Andrea Sottoriva
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, SM2 5NG, UK
| | - David C Wedge
- Manchester Cancer Research Centre, University of Manchester, 555 Wilmslow Road, Manchester, M20 4GJ, UK
| | - Thomas Booth
- School of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas's Hospital, London, UK
- Department of Neuroradiology, King's College Hospital NHS Foundation Trust, Denmark Hill, SE5 9RS, London, UK
| | - Safa Al-Sarraj
- Department of Clinical Neuropathology, King's College Hospital NHS Foundation Trust, Denmark Hill, SE5 9RS, London, UK
| | - Samuel E D Lawrence
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Erminia Albanese
- Department of Neurosurgery, Royal Stoke University Hospital, Newcastle Road, ST4 6QG, Stoke-on-Trent, UK
| | - Giulio Anichini
- Imperial College Healthcare NHS Trust, Charing Cross Hospital, 3S corridor, Fulham Palace Road, London, W6 8RF, UK
| | - David Baxter
- Department of Neurosurgery, Royal National Orthopaedic Hospital, Brockley Hill, Stanmore, HA7 4LP, UK
| | - Alexandros Boukas
- Department of Neurosurgery, John Radcliffe Hospital, Headley Way, Headington, OX3 9DU, Oxford, UK
| | - Yasir A Chowdhury
- Department of Neurosurgery, Queen Elizabeth Hospital Birmingham, Mindelsohn Way, B15 2GW, Birmingham, UK
| | - Pietro D'Urso
- Department of Neurosurgery, Manchester Royal Infirmary, Oxford Rd, M13 9WL, Manchester, UK
| | - Robert Corns
- Department of Neurosurgery, Leeds General Infirmary, Great George St, LS1 3EX, Leeds, UK
| | - Andrew Dapaah
- Department of Neurosurgery, Queen's Medical Centre NHS Trust, Derby Road, Lenton, NG7 2UH, Nottingham, UK
| | - Ellie Edlmann
- South West Neurosurgery Unit, University Hospitals Plymouth NHS Trust, Derriford Road, Crownhill, PL6 8DH, Plymouth, UK
| | - Fay Greenway
- Department of Neurosurgery, St. George's University Hospitals NHS Foundation Trust, Blackshaw Rd, SW17 0QT, London, UK
| | - Paul Grundy
- Department of Neurosurgery, Southampton General Hospital, Tremona Road, SO16 6YD, Southampton, UK
| | - Ciaran S Hill
- UCL Cancer Institute, 72 Huntley St, WC1E 6DD, London, UK
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, WC1N 3BG, London, UK
| | - Michael D Jenkinson
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Lower Lane, Fazakerley, L9 7LJ, Liverpool, UK
| | - Sandhya Trichinopoly Krishna
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Lower Lane, Fazakerley, L9 7LJ, Liverpool, UK
| | - Stuart Smith
- Department of Neurosurgery, Queen's Medical Centre NHS Trust, Derby Road, Lenton, NG7 2UH, Nottingham, UK
| | - Susruta Manivannan
- Department of Neurosurgery, Southampton General Hospital, Tremona Road, SO16 6YD, Southampton, UK
| | - Andrew J Martin
- Department of Neurosurgery, St. George's University Hospitals NHS Foundation Trust, Blackshaw Rd, SW17 0QT, London, UK
| | - Samir Matloob
- Department of Neurosurgery, Queen's Hospital Romford, Rom Valley Way, RM7 0AG, Romford, UK
| | - Soumya Mukherjee
- Department of Neurosurgery, Addenbrookes Hospital, Hills Rd, CB2 0QQ, Cambridge, UK
| | - Kevin O'Neill
- Imperial College Healthcare NHS Trust, Charing Cross Hospital, 3S corridor, Fulham Palace Road, London, W6 8RF, UK
| | - Puneet Plaha
- Department of Neurosurgery, John Radcliffe Hospital, Headley Way, Headington, OX3 9DU, Oxford, UK
| | - Jonathan Pollock
- Department of Neurosurgery, Queen's Hospital Romford, Rom Valley Way, RM7 0AG, Romford, UK
| | - Stephen Price
- Department of Neurosurgery, Addenbrookes Hospital, Hills Rd, CB2 0QQ, Cambridge, UK
| | - Ola Rominiyi
- Department of Neurosurgery, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Glossop Rd, Broomhall, S10 2JF, Sheffield, UK
| | - Bobby Sachdev
- Department of Neurosurgery, Royal Stoke University Hospital, Newcastle Road, ST4 6QG, Stoke-on-Trent, UK
| | - Fozia Saeed
- Department of Neurosurgery, Leeds General Infirmary, Great George St, LS1 3EX, Leeds, UK
| | - Saurabh Sinha
- Department of Neurosurgery, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Glossop Rd, Broomhall, S10 2JF, Sheffield, UK
| | - Lewis Thorne
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, WC1N 3BG, London, UK
| | - Ismail Ughratdar
- Department of Neurosurgery, Queen Elizabeth Hospital Birmingham, Mindelsohn Way, B15 2GW, Birmingham, UK
| | - Peter Whitfield
- South West Neurosurgery Unit, University Hospitals Plymouth NHS Trust, Derriford Road, Crownhill, PL6 8DH, Plymouth, UK
| | - Amir Saam Youshani
- Department of Neurosurgery, Manchester Royal Infirmary, Oxford Rd, M13 9WL, Manchester, UK
| | - Helen Bulbeck
- Brainstrust, 4 Yvery Court, Castle Road, PO31 7QG, Cowes, Isle of Wight, UK
| | | | - Richard Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK.
| | - Keyoumars Ashkan
- Institute of Psychiatry, Psychology and Neurosciences, Kings College London, Strand, WC2R 2LS, London, UK.
- Department of Neurosurgery, King's College Hospital NHS Foundation Trust, Denmark Hill, SE5 9RS, London, UK.
| |
Collapse
|
2
|
Morito T, Qi M, Kamano N, Sasaguri H, Bez S, Foiani M, Duff K, Benner S, Endo T, Hama H, Kurokawa H, Miyawaki A, Mizuma H, Sahara N, Shimojo M, Higuchi M, Saido TC, Watamura N. Human MAPT knockin mouse models of frontotemporal dementia for the neurodegenerative research community. CELL REPORTS METHODS 2025; 5:101024. [PMID: 40220760 DOI: 10.1016/j.crmeth.2025.101024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Revised: 02/26/2025] [Accepted: 03/19/2025] [Indexed: 04/14/2025]
Abstract
Existing models of frontotemporal dementia (FTD) may not fully recapitulate the pathophysiology of the disease. To generate more pathophysiologically relevant FTD models, we engineered MAPT knockin mouse lines carrying triple mutations, among which the MAPTP301S;Int10+3;S320F line exhibited robust tau pathology starting before 6 months of age. Severe tau accumulation was predominantly observed in the thalamus, hypothalamus, and amygdala with milder involvement of the cortex and hippocampus, leading to synaptic loss, brain atrophy, and FTD-like behavioral abnormalities. Crossbreeding MAPTP301S;Int10+3;S320F mice with App knockin, AppNL-G-F, mice markedly enhanced tau pathology in the cortex and hippocampus, highlighting the interplay between β-amyloid and tau. These findings establish the mutant mice as valuable models for investigating the mechanisms underlying FTD and other tauopathies, providing a relevant platform for in vivo drug screening.
Collapse
Affiliation(s)
- Takahiro Morito
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako, Saitama 351-0198, Japan
| | - Mohan Qi
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako, Saitama 351-0198, Japan
| | - Naoko Kamano
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako, Saitama 351-0198, Japan
| | - Hiroki Sasaguri
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako, Saitama 351-0198, Japan; Dementia Pathophysiology Collaboration Unit, RIKEN Center for Brain Science, Wako, Saitama 351-0198, Japan
| | - Sumi Bez
- UK Dementia Research Institute, University College London, London WC1E6BT, UK
| | - Martha Foiani
- UK Dementia Research Institute, University College London, London WC1E6BT, UK
| | - Karen Duff
- UK Dementia Research Institute, University College London, London WC1E6BT, UK
| | - Seico Benner
- Center for Health and Environmental Risk Research, National Institute for Environmental Studies, Tsukuba, Ibaraki 305-8506, Japan
| | | | - Hiroshi Hama
- Laboratory for Cell Function Dynamics, RIKEN Center for Brain Science, Wako, Saitama 351-0198, Japan
| | - Hiroshi Kurokawa
- Laboratory for Cell Function Dynamics, RIKEN Center for Brain Science, Wako, Saitama 351-0198, Japan
| | - Atushi Miyawaki
- Laboratory for Cell Function Dynamics, RIKEN Center for Brain Science, Wako, Saitama 351-0198, Japan
| | - Hiroshi Mizuma
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Inage, Chiba 263-8555, Japan
| | - Naruhiko Sahara
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Inage, Chiba 263-8555, Japan
| | - Masafumi Shimojo
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Inage, Chiba 263-8555, Japan
| | - Makoto Higuchi
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Inage, Chiba 263-8555, Japan
| | - Takaomi C Saido
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako, Saitama 351-0198, Japan.
| | - Naoto Watamura
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako, Saitama 351-0198, Japan; UK Dementia Research Institute, University College London, London WC1E6BT, UK.
| |
Collapse
|
3
|
Joshi N, Lango-Allen H, Downes K, Simeoni I, Vladescu C, Paul D, Hart A, Ademokun C, Cooper N. The role of genetic sequencing in the diagnostic workup for chronic immune thrombocytopenia. Blood Adv 2025; 9:1497-1507. [PMID: 39808791 PMCID: PMC11985033 DOI: 10.1182/bloodadvances.2024014639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Revised: 12/16/2024] [Accepted: 12/16/2024] [Indexed: 01/16/2025] Open
Abstract
ABSTRACT Immune thrombocytopenia (ITP) is a heterogenous autoimmune disorder diagnosed by excluding other conditions. Misdiagnosis of primary ITP occurs in patients with inherited thrombocytopenia and primary immunodeficiency syndromes. This study investigates whether genetic testing for inherited thrombocytopenia or primary immunodeficiency can enhance diagnostic accuracy in ITP, and guide treatment strategies. We performed whole genome sequencing or targeted panel sequencing on peripheral blood samples in a cohort of 80 participants with chronic ITP, utilizing the ThromboGenomics panel (n = 72) and the Genomics of Rare Immune Disorders panel (n = 50) consisting of genes known to cause bleeding and platelet disorders (BPDG) or primary immuodeficiency genes (PIDG) respectively. A replication cohort of 73 patients underwent clinical genomics testing with either the R90 (BPDG, n = 35) or R15 (PIDG, n = 50) National Health Service Genomics panels. Known pathogenic or likely pathogenic, disease-causing, variants were identified in 9 patients in the first cohort (11%, 95% confidence interval [CI]: 5-20); 7 patients (10%, 95% CI: 4-19) in BPDG and 2 patients (4% CI,1-14) in PIDG. In addition, 26 patients (32.5%) carried variants of uncertain significance. In the replication cohort, 8% (95% CI, 2-20) and 9% (95% CI, 2-23) of patients had a pathogenic variant identified on the R15 (PIDG) or R90 panel (BPDG), respectively. The findings impacted clinical management such as avoidance of immunosuppression (ANKRD26, GP1BB, ETV6, TUBB1, and ITGB3) and eligibility for allogeneic stem cell transplantation (UNC13D). Our findings demonstrate that genomic sequencing identifies diagnostically relevant variants in patients with chronic ITP. Identification of these variants can guide treatment decisions and improve patient outcomes.
Collapse
Affiliation(s)
- Nehal Joshi
- Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
| | - Hana Lango-Allen
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Kate Downes
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Ilenia Simeoni
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Camelia Vladescu
- Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, United Kingdom
| | - Deena Paul
- Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, United Kingdom
| | - Alice Hart
- Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, United Kingdom
| | - Christine Ademokun
- Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, United Kingdom
| | - Nichola Cooper
- Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
| |
Collapse
|
4
|
Watamura N, Foiani MS, Bez S, Bourdenx M, Santambrogio A, Frodsham C, Camporesi E, Brinkmalm G, Zetterberg H, Patel S, Kamano N, Takahashi M, Rueda-Carrasco J, Katsouri L, Fowler S, Turkes E, Hashimoto S, Sasaguri H, Saito T, Islam AS, Benner S, Endo T, Kobayashi K, Ishida C, Vendruscolo M, Yamada M, Duff KE, Saido TC. In vivo hyperphosphorylation of tau is associated with synaptic loss and behavioral abnormalities in the absence of tau seeds. Nat Neurosci 2025; 28:293-307. [PMID: 39719507 PMCID: PMC11802456 DOI: 10.1038/s41593-024-01829-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Accepted: 10/23/2024] [Indexed: 12/26/2024]
Abstract
Tau pathology is a hallmark of several neurodegenerative diseases, including frontotemporal dementia and Alzheimer's disease. However, the sequence of events and the form of tau that confers toxicity are still unclear, due in large part to the lack of physiological models of tauopathy initiation and progression in which to test hypotheses. We have developed a series of targeted mice expressing frontotemporal-dementia-causing mutations in the humanized MAPT gene to investigate the earliest stages of tauopathy. MAPTInt10+3G>A and MAPTS305N;Int10+3G>A lines show abundant hyperphosphorylated tau in the hippocampus and entorhinal cortex, but they do not develop seed-competent fibrillar structures. Accumulation of hyperphosphorylated tau was accompanied by neurite degeneration, loss of viable synapses and indicators of behavioral abnormalities. Our results demonstrate that neuronal toxicity can occur in the absence of fibrillar, higher-order structures and that tau hyperphosphorylation is probably involved in the earliest etiological events in tauopathies showing isoform ratio imbalance.
Collapse
Affiliation(s)
- Naoto Watamura
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako, Japan.
- UK Dementia Research Institute at University College London, London, UK.
| | - Martha S Foiani
- UK Dementia Research Institute at University College London, London, UK.
| | - Sumi Bez
- UK Dementia Research Institute at University College London, London, UK
| | - Mathieu Bourdenx
- UK Dementia Research Institute at University College London, London, UK
| | - Alessia Santambrogio
- Department of Chemistry, Centre for Misfolding Diseases, University of Cambridge, Cambridge, UK
| | - Claire Frodsham
- UK Dementia Research Institute at University College London, London, UK
| | - Elena Camporesi
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology,The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Gunnar Brinkmalm
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology,The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Henrik Zetterberg
- UK Dementia Research Institute at University College London, London, UK
- Queen Square Institute of Neurology, University College London, London, UK
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology,The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Saisha Patel
- UK Dementia Research Institute at University College London, London, UK
| | - Naoko Kamano
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako, Japan
| | - Mika Takahashi
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako, Japan
| | | | - Loukia Katsouri
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, UK
| | - Stephanie Fowler
- UK Dementia Research Institute at University College London, London, UK
- Nuffield Department of Medicine, Oxford-GSK Institute of Molecular and Computational Medicine, Centre for Human Genetics, Oxford, UK
| | - Emir Turkes
- UK Dementia Research Institute at University College London, London, UK
| | - Shoko Hashimoto
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako, Japan
- Pioneering Research Division, Medical Innovation Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Hiroki Sasaguri
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako, Japan
- Dementia Pathophysiology Collaboration Unit, RIKEN Center for Brain Science, Wako, Japan
| | - Takashi Saito
- Department of Neurocognitive Science, Institute of Brain Science, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
- Department of Neuroscience and Pathobiology, Research Institute of Environmental Medicine, Nagoya University, Nagoya, Japan
| | - Afm Saiful Islam
- Queen Square Institute of Neurology, University College London, London, UK
| | - Seico Benner
- Center for Health and Environmental Risk Research, National Institute for Environmental Studies, Tsukuba, Japan
| | | | - Katsuji Kobayashi
- Department of Psychiatry, Awazu Neuropsychiatric Hospital, Ishikawa, Japan
| | - Chiho Ishida
- Department of Neurology, NHO Iou National Hospital, Iwade-machi, Japan
| | - Michele Vendruscolo
- Department of Chemistry, Centre for Misfolding Diseases, University of Cambridge, Cambridge, UK
| | - Masahito Yamada
- Department of Internal Medicine, Division of Neurology, Kudanzaka Hospital, Tokyo, Japan
- Department of Neurology and Neurological Science, Tokyo Medical and Dental University, Tokyo, Japan
- Kanazawa University, Kanazawa, Japan
| | - Karen E Duff
- UK Dementia Research Institute at University College London, London, UK.
- Queen Square Institute of Neurology, University College London, London, UK.
| | - Takaomi C Saido
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako, Japan.
| |
Collapse
|
5
|
Grobecker P, Berri S, Peden JF, Chow KJ, Fielding C, Armogida I, Northen H, McBride DJ, Campbell PJ, Becq J, Ryan SL, Bentley DR, Harrison CJ, Moorman AV, Ross MT, Mijuskovic M. A dedicated caller for DUX4 rearrangements from whole-genome sequencing data. BMC Med Genomics 2025; 18:24. [PMID: 39885506 PMCID: PMC11783778 DOI: 10.1186/s12920-024-02069-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Accepted: 12/13/2024] [Indexed: 02/01/2025] Open
Abstract
Rearrangements involving the DUX4 gene (DUX4-r) define a subtype of paediatric and adult acute lymphoblastic leukaemia (ALL) with a favourable outcome. Currently, there is no 'standard of care' diagnostic method for their confident identification. Here, we present an open-source software tool designed to detect DUX4-r from short-read, whole-genome sequencing (WGS) data. Evaluation on a cohort of 210 paediatric ALL cases showed that our method detects all known, as well as previously unidentified, cases of IGH::DUX4 and rearrangements with other partner genes. These findings demonstrate the possibility of robustly detecting DUX4-r using WGS in the routine clinical setting.
Collapse
Affiliation(s)
- Pascal Grobecker
- Illumina Cambridge Ltd., Granta Park, Great Abington, Cambridge, UK
| | - Stefano Berri
- Illumina Cambridge Ltd., Granta Park, Great Abington, Cambridge, UK
| | - John F Peden
- Genpax Ltd, Office 4.05, 53, 64 Chancery Ln, London, UK
| | - Kai-Jie Chow
- Illumina Cambridge Ltd., Granta Park, Great Abington, Cambridge, UK
| | - Claire Fielding
- Illumina Cambridge Ltd., Granta Park, Great Abington, Cambridge, UK
| | - Ivana Armogida
- Illumina Cambridge Ltd., Granta Park, Great Abington, Cambridge, UK
| | - Helen Northen
- Illumina Cambridge Ltd., Granta Park, Great Abington, Cambridge, UK
| | - David J McBride
- Illumina Cambridge Ltd., Granta Park, Great Abington, Cambridge, UK
| | - Peter J Campbell
- Illumina Cambridge Ltd., Granta Park, Great Abington, Cambridge, UK
| | - Jennifer Becq
- Illumina Cambridge Ltd., Granta Park, Great Abington, Cambridge, UK
| | - Sarra L Ryan
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University Centre for Cancer, Newcastle upon Tyne, UK
| | - David R Bentley
- Illumina Cambridge Ltd., Granta Park, Great Abington, Cambridge, UK
| | - Christine J Harrison
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University Centre for Cancer, Newcastle upon Tyne, UK
| | - Anthony V Moorman
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University Centre for Cancer, Newcastle upon Tyne, UK
| | - Mark T Ross
- Illumina Cambridge Ltd., Granta Park, Great Abington, Cambridge, UK.
| | | |
Collapse
|
6
|
Nakamura K, Ishii Y, Takasu S, Namiki M, Soma M, Takimoto N, Matsushita K, Shibutani M, Ogawa K. Chromosome aberrations cause tumorigenesis through chromosomal rearrangements in a hepatocarcinogenesis rat model. Cancer Sci 2024; 115:3612-3621. [PMID: 39245467 PMCID: PMC11531951 DOI: 10.1111/cas.16324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 08/05/2024] [Accepted: 08/08/2024] [Indexed: 09/10/2024] Open
Abstract
Chromosome aberrations (CAs), a genotoxic potential of carcinogens, are believed to contribute to tumorigenesis by chromosomal rearrangements through micronucleus formation. However, there is no direct evidence that proves the involvement of CAs in tumorigenesis in vivo. In the current study, we sought to clarify the involvement of CAs in chemical carcinogenesis using a rat model with a pure CA-inducer hepatocarcinogen, acetamide. Whole-genome analysis indicated that hepatic tumors induced by acetamide treatment for 26-30 weeks showed a broad range of copy number alterations in various chromosomes. In contrast, hepatic tumors induced by a typical mutagen (diethylnitrosamine) followed by a nonmutagen (phenobarbital) did not show such mutational patterns. Additionally, structural alterations such as translocations were observed more frequently in the acetamide-induced tumors. Moreover, most of the acetamide-induced tumors expressed c-Myc and/or MDM2 protein due to the copy number gain of each oncogene. These results suggest the occurrence of chromosomal rearrangements and subsequent oncogene amplification in the acetamide-induced tumors. Taken together, the results indicate that CAs are directly involved in tumorigenesis through chromosomal rearrangements in an acetamide-induced hepatocarcinogenesis rat model.
Collapse
Affiliation(s)
- Kenji Nakamura
- Division of PathologyNational Institute of Health SciencesKawasakiJapan
- Laboratory of Veterinary PathologyTokyo University of Agriculture and TechnologyTokyoJapan
| | - Yuji Ishii
- Division of PathologyNational Institute of Health SciencesKawasakiJapan
| | - Shinji Takasu
- Division of PathologyNational Institute of Health SciencesKawasakiJapan
| | - Moeka Namiki
- Division of PathologyNational Institute of Health SciencesKawasakiJapan
| | - Meili Soma
- Division of PathologyNational Institute of Health SciencesKawasakiJapan
| | - Norifumi Takimoto
- Division of PathologyNational Institute of Health SciencesKawasakiJapan
- Laboratory of Veterinary PathologyTokyo University of Agriculture and TechnologyTokyoJapan
| | - Kohei Matsushita
- Division of PathologyNational Institute of Health SciencesKawasakiJapan
| | - Makoto Shibutani
- Laboratory of Veterinary PathologyTokyo University of Agriculture and TechnologyTokyoJapan
| | - Kumiko Ogawa
- Division of PathologyNational Institute of Health SciencesKawasakiJapan
| |
Collapse
|
7
|
Wang T, Zhang Y, Wang H, Zheng Q, Yang J, Zhang T, Sun G, Liu W, Yin L, He X, You R, Wang C, Liu Z, Liu Z, Wang J, Jin X, He Z. Fast and accurate DNASeq variant calling workflow composed of LUSH toolkit. Hum Genomics 2024; 18:114. [PMID: 39390620 PMCID: PMC11465951 DOI: 10.1186/s40246-024-00666-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 08/22/2024] [Indexed: 10/12/2024] Open
Abstract
BACKGROUND Whole genome sequencing (WGS) is becoming increasingly prevalent for molecular diagnosis, staging and prognosis because of its declining costs and the ability to detect nearly all genes associated with a patient's disease. The currently widely accepted variant calling pipeline, GATK, is limited in terms of its computational speed and efficiency, which cannot meet the growing analysis needs. RESULTS Here, we propose a fast and accurate DNASeq variant calling workflow that is purely composed of tools from LUSH toolkit. The precision and recall measurements indicate that both the LUSH and GATK pipelines exhibit high levels of consistency, with precision and recall rates exceeding 99% on the 30x NA12878 dataset. In terms of processing speed, the LUSH pipeline outperforms the GATK pipeline, completing 30x WGS data analysis in just 1.6 h, which is approximately 17 times faster than GATK. Notably, the LUSH_HC tool completes the processing from BAM to VCF in just 12 min, which is around 76 times faster than GATK. CONCLUSION These findings suggest that the LUSH pipeline is a highly promising alternative to the GATK pipeline for WGS data analysis, with the potential to significantly improve bedside analysis of acutely ill patients, large-scale cohort data analysis, and high-throughput variant calling in crop breeding programs. Furthermore, the LUSH pipeline is highly scalable and easily deployable, allowing it to be readily applied to various scenarios such as clinical diagnosis and genomic research.
Collapse
Affiliation(s)
- Taifu Wang
- BGI Genomics, Shenzhen, 518083, China
- Clin Lab, BGI Genomics, Shenzhen, 518083, China
| | - Youjin Zhang
- BGI Genomics, Shenzhen, 518083, China
- Clin Lab, BGI Genomics, Shenzhen, 518083, China
| | - Haoling Wang
- BGI Genomics, Shenzhen, 518083, China
- Clin Lab, BGI Genomics, Shenzhen, 518083, China
| | - Qiwen Zheng
- BGI Genomics, Shenzhen, 518083, China
- Clin Lab, BGI Genomics, Shenzhen, 518083, China
| | - Jiaobo Yang
- BGI Genomics, Shenzhen, 518083, China
- Clin Lab, BGI Genomics, Shenzhen, 518083, China
| | - Tiefeng Zhang
- BGI Genomics, Shenzhen, 518083, China
- Clin Lab, BGI Genomics, Shenzhen, 518083, China
| | - Geng Sun
- BGI Genomics, Shenzhen, 518083, China
- Clin Lab, BGI Genomics, Shenzhen, 518083, China
| | - Weicong Liu
- BGI Genomics, Shenzhen, 518083, China
- Clin Lab, BGI Genomics, Shenzhen, 518083, China
| | - Longhui Yin
- BGI Genomics, Shenzhen, 518083, China
- Clin Lab, BGI Genomics, Shenzhen, 518083, China
| | - Xinqiu He
- BGI Genomics, Shenzhen, 518083, China
- Clin Lab, BGI Genomics, Shenzhen, 518083, China
| | - Rui You
- BGI Genomics, Shenzhen, 518083, China
- Clin Lab, BGI Genomics, Shenzhen, 518083, China
| | - Chu Wang
- BGI Genomics, Shenzhen, 518083, China
- Clin Lab, BGI Genomics, Shenzhen, 518083, China
| | - Zhencheng Liu
- BGI Genomics, Shenzhen, 518083, China
- Clin Lab, BGI Genomics, Shenzhen, 518083, China
| | - Zhijian Liu
- BGI Genomics, Shenzhen, 518083, China
- Clin Lab, BGI Genomics, Shenzhen, 518083, China
| | - Jin'an Wang
- BGI Genomics, Shenzhen, 518083, China
- Clin Lab, BGI Genomics, Shenzhen, 518083, China
| | - Xiangqian Jin
- BGI Genomics, Shenzhen, 518083, China.
- Clin Lab, BGI Genomics, Shenzhen, 518083, China.
| | - Zengquan He
- BGI Genomics, Shenzhen, 518083, China.
- Clin Lab, BGI Genomics, Shenzhen, 518083, China.
| |
Collapse
|
8
|
Danesino C, Biglioli F, Moneghini L, Valli R, Olivieri C, Testa B, Baldo C, Malacarne M, Guala A. Pleomorphic Parotid Adenoma in a Child Affected with Cri du Chat Syndrome: Clinical, Cytogenetic, and Molecular Analysis. Int J Mol Sci 2024; 25:10664. [PMID: 39408992 PMCID: PMC11476383 DOI: 10.3390/ijms251910664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Revised: 09/27/2024] [Accepted: 09/30/2024] [Indexed: 10/20/2024] Open
Abstract
Salivary gland pleomorphic adenoma (SGPA) is the most common type of benign epithelial tumor; it is observed more commonly in females (with a female-to-male ratio of 1.43:1), and the age at diagnosis ranges between 40 and 59 years, with only 2% of cases diagnosed before age 18. Cri du Chat (CdC) is a rare syndrome caused by deletions of various sizes in the short arm of chromosome 5. Tumors in CdC patients are extremely rare: in Danish, Spanish, Australian, and Japanese groups of cases, no tumors have been reported, while a few cases have been described among 321 CdC patients collected in Italy and Germany. These cases all involve tumors that appear at a young age. We here report the case of a parotid pleomorphic adenoma in an 8-year-old boy with CdC. Exome analysis did not identify variants certainly significant for the development of SGPA. A CGH array, analyzed both in peripheral blood and tumor samples, failed to recognize anomalies previously associated with SGPA but identified a de novo duplication in 7p15.2, which contains part of a gene, SKAP2, in which the increased copy number is associated with the development of a different type of tumor such as pancreatic duct adenocarcinoma. The assumption that the duplication in 7p15.2 is relevant for the development of SGPA in our patient implies that CGH array studies must be included early in life in routine work-ups of CdC to identify CNVs with possible pathogenic roles for tumor development. This is particularly also relevant in relation to the severely impaired possibility for patients with CdC to report discomfort or pain related to tumor development. Constitutional CNVs in addition to the deletion in 5p should also be extensively studied to verify if their presence in some patients could explain why, in these cases, tumors develop at an age younger than expected.
Collapse
Affiliation(s)
- Cesare Danesino
- Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy;
| | - Federico Biglioli
- Maxillo-Facial Surgery Unit, Health Sciences Department, University of Milan, 20122 Milan, Italy;
| | | | - Roberto Valli
- Department of Medicine and Surgery, University of Insubria, 21100 Varese, Italy;
| | - Carla Olivieri
- Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy;
| | - Barbara Testa
- UOC Laboratorio di Genetica Umana, IRCCS G. Gaslini, 16147 Genova, Italy; (B.T.); (C.B.); (M.M.)
| | - Chiara Baldo
- UOC Laboratorio di Genetica Umana, IRCCS G. Gaslini, 16147 Genova, Italy; (B.T.); (C.B.); (M.M.)
| | - Michela Malacarne
- UOC Laboratorio di Genetica Umana, IRCCS G. Gaslini, 16147 Genova, Italy; (B.T.); (C.B.); (M.M.)
| | - Andrea Guala
- Pediatric Unit, Castelli Hospital, 28921 Verbania, Italy;
| |
Collapse
|
9
|
Green DJ, Michaud V, Lasseaux E, Plaisant C, Fitzgerald T, Birney E, Black GC, Arveiler B, Sergouniotis PI. The co-occurrence of genetic variants in the TYR and OCA2 genes confers susceptibility to albinism. Nat Commun 2024; 15:8436. [PMID: 39349469 PMCID: PMC11443028 DOI: 10.1038/s41467-024-52763-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 09/19/2024] [Indexed: 10/02/2024] Open
Abstract
Although rare genetic conditions are mostly caused by DNA sequence alterations that functionally disrupt individual genes, large-scale studies using genome sequencing have started to unmask additional complexity. Understanding how combinations of variants in different genes shape human phenotypes is expected to provide important insights into the clinical and genetic heterogeneity of rare disorders. Here, we use albinism, an archetypal rare condition associated with hypopigmentation, as an exemplar for the study of genetic interactions. We analyse data from the Genomics England 100,000 Genomes Project alongside a cohort of 1120 individuals with albinism, and investigate the effect of dual heterozygosity for the combination of two established albinism-related variants: TYR:c.1205 G > A (p.Arg402Gln) [rs1126809] and OCA2:c.1327 G > A (p.Val443Ile) [rs74653330]. As each of these changes alone is insufficient to cause disease when present in the heterozygous state, we sought evidence of synergistic effects. We show that, when both variants are present, the probability of receiving a diagnosis of albinism is significantly increased (odds ratio 12.8; 95% confidence interval 6.0 - 24.7; p-value 2.1 ×10-8). Further analyses in an independent cohort, the UK Biobank, support this finding and highlight that heterozygosity for the TYR:c.1205 G > A and OCA2:c.1327 G > A variant combination is associated with statistically significant alterations in visual acuity and central retinal thickness (traits that are considered albinism endophenotypes). The approach discussed in this report opens up new avenues for the investigation of oligogenic patterns in apparently Mendelian disorders.
Collapse
Affiliation(s)
- David J Green
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Vincent Michaud
- Department of Medical Genetics, University Hospital of Bordeaux, Bordeaux, France
- INSERM U1211, Rare Diseases, Genetics and Metabolism, University of Bordeaux, Bordeaux, France
| | - Eulalie Lasseaux
- Department of Medical Genetics, University Hospital of Bordeaux, Bordeaux, France
| | - Claudio Plaisant
- Department of Medical Genetics, University Hospital of Bordeaux, Bordeaux, France
| | - Tomas Fitzgerald
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL- EBI), Wellcome Genome Campus, Cambridge, UK
| | - Ewan Birney
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL- EBI), Wellcome Genome Campus, Cambridge, UK
| | - Graeme C Black
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Manchester Centre for Genomic Medicine, Saint Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Benoît Arveiler
- Department of Medical Genetics, University Hospital of Bordeaux, Bordeaux, France
- INSERM U1211, Rare Diseases, Genetics and Metabolism, University of Bordeaux, Bordeaux, France
| | - Panagiotis I Sergouniotis
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL- EBI), Wellcome Genome Campus, Cambridge, UK.
- Manchester Centre for Genomic Medicine, Saint Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK.
- Manchester Royal Eye Hospital, Manchester University NHS Foundation Trust, Manchester, UK.
| |
Collapse
|
10
|
Cornish AJ, Gruber AJ, Kinnersley B, Chubb D, Frangou A, Caravagna G, Noyvert B, Lakatos E, Wood HM, Thorn S, Culliford R, Arnedo-Pac C, Househam J, Cross W, Sud A, Law P, Leathlobhair MN, Hawari A, Woolley C, Sherwood K, Feeley N, Gül G, Fernandez-Tajes J, Zapata L, Alexandrov LB, Murugaesu N, Sosinsky A, Mitchell J, Lopez-Bigas N, Quirke P, Church DN, Tomlinson IPM, Sottoriva A, Graham TA, Wedge DC, Houlston RS. The genomic landscape of 2,023 colorectal cancers. Nature 2024; 633:127-136. [PMID: 39112709 PMCID: PMC11374690 DOI: 10.1038/s41586-024-07747-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 06/24/2024] [Indexed: 08/17/2024]
Abstract
Colorectal carcinoma (CRC) is a common cause of mortality1, but a comprehensive description of its genomic landscape is lacking2-9. Here we perform whole-genome sequencing of 2,023 CRC samples from participants in the UK 100,000 Genomes Project, thereby providing a highly detailed somatic mutational landscape of this cancer. Integrated analyses identify more than 250 putative CRC driver genes, many not previously implicated in CRC or other cancers, including several recurrent changes outside the coding genome. We extend the molecular pathways involved in CRC development, define four new common subgroups of microsatellite-stable CRC based on genomic features and show that these groups have independent prognostic associations. We also characterize several rare molecular CRC subgroups, some with potential clinical relevance, including cancers with both microsatellite and chromosomal instability. We demonstrate a spectrum of mutational profiles across the colorectum, which reflect aetiological differences. These include the role of Escherichia colipks+ colibactin in rectal cancers10 and the importance of the SBS93 signature11-13, which suggests that diet or smoking is a risk factor. Immune-escape driver mutations14 are near-ubiquitous in hypermutant tumours and occur in about half of microsatellite-stable CRCs, often in the form of HLA copy number changes. Many driver mutations are actionable, including those associated with rare subgroups (for example, BRCA1 and IDH1), highlighting the role of whole-genome sequencing in optimizing patient care.
Collapse
Affiliation(s)
- Alex J Cornish
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Andreas J Gruber
- Department of Biology, University of Konstanz, Konstanz, Germany
- Manchester Cancer Research Centre, Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - Ben Kinnersley
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
- University College London Cancer Institute, London, UK
| | - Daniel Chubb
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Anna Frangou
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Max Planck Institute for Molecular Cell Biology and Genetics, Dresden, Germany
| | - Giulio Caravagna
- Department of Mathematics and Geosciences, University of Trieste, Trieste, Italy
- Centre for Evolution and Cancer, Institute of Cancer Research, London, UK
| | - Boris Noyvert
- Cancer Research UK Centre and Centre for Computational Biology, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Eszter Lakatos
- Centre for Evolution and Cancer, Institute of Cancer Research, London, UK
- Department of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden
| | - Henry M Wood
- Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Steve Thorn
- Department of Oncology, University of Oxford, Oxford, UK
| | - Richard Culliford
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Claudia Arnedo-Pac
- Institute for Research in Biomedicine Barcelona, The Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Jacob Househam
- Centre for Evolution and Cancer, Institute of Cancer Research, London, UK
| | - William Cross
- Centre for Evolution and Cancer, Institute of Cancer Research, London, UK
- Research Department of Pathology, University College London, UCL Cancer Institute, London, UK
| | - Amit Sud
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Philip Law
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | | | - Aliah Hawari
- Manchester Cancer Research Centre, Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - Connor Woolley
- Department of Oncology, University of Oxford, Oxford, UK
| | - Kitty Sherwood
- Department of Oncology, University of Oxford, Oxford, UK
- Edinburgh Cancer Research, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Nathalie Feeley
- Department of Oncology, University of Oxford, Oxford, UK
- Edinburgh Cancer Research, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Güler Gül
- Edinburgh Cancer Research, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | | | - Luis Zapata
- Centre for Evolution and Cancer, Institute of Cancer Research, London, UK
| | - Ludmil B Alexandrov
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, USA
- Department of Bioengineering, UC San Diego, La Jolla, CA, USA
- Moores Cancer Center, UC San Diego, La Jolla, CA, USA
| | - Nirupa Murugaesu
- Genomics England, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Alona Sosinsky
- Genomics England, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Jonathan Mitchell
- Genomics England, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Nuria Lopez-Bigas
- Institute for Research in Biomedicine Barcelona, The Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Philip Quirke
- Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - David N Church
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford NIHR Comprehensive Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | | | - Andrea Sottoriva
- Centre for Evolution and Cancer, Institute of Cancer Research, London, UK
- Computational Biology Research Centre, Human Technopole, Milan, Italy
| | - Trevor A Graham
- Centre for Evolution and Cancer, Institute of Cancer Research, London, UK
| | - David C Wedge
- Manchester Cancer Research Centre, Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - Richard S Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| |
Collapse
|
11
|
Zhou W, Karan KR, Gu W, Klein HU, Sturm G, De Jager PL, Bennett DA, Hirano M, Picard M, Mills RE. Somatic nuclear mitochondrial DNA insertions are prevalent in the human brain and accumulate over time in fibroblasts. PLoS Biol 2024; 22:e3002723. [PMID: 39172952 PMCID: PMC11340991 DOI: 10.1371/journal.pbio.3002723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 06/26/2024] [Indexed: 08/24/2024] Open
Abstract
The transfer of mitochondrial DNA into the nuclear genomes of eukaryotes (Numts) has been linked to lifespan in nonhuman species and recently demonstrated to occur in rare instances from one human generation to the next. Here, we investigated numtogenesis dynamics in humans in 2 ways. First, we quantified Numts in 1,187 postmortem brain and blood samples from different individuals. Compared to circulating immune cells (n = 389), postmitotic brain tissue (n = 798) contained more Numts, consistent with their potential somatic accumulation. Within brain samples, we observed a 5.5-fold enrichment of somatic Numt insertions in the dorsolateral prefrontal cortex (DLPFC) compared to cerebellum samples, suggesting that brain Numts arose spontaneously during development or across the lifespan. Moreover, an increase in the number of brain Numts was linked to earlier mortality. The brains of individuals with no cognitive impairment (NCI) who died at younger ages carried approximately 2 more Numts per decade of life lost than those who lived longer. Second, we tested the dynamic transfer of Numts using a repeated-measures whole-genome sequencing design in a human fibroblast model that recapitulates several molecular hallmarks of aging. These longitudinal experiments revealed a gradual accumulation of 1 Numt every ~13 days. Numtogenesis was independent of large-scale genomic instability and unlikely driven by cell clonality. Targeted pharmacological perturbations including chronic glucocorticoid signaling or impairing mitochondrial oxidative phosphorylation (OxPhos) only modestly increased the rate of numtogenesis, whereas patient-derived SURF1-mutant cells exhibiting mtDNA instability accumulated Numts 4.7-fold faster than healthy donors. Combined, our data document spontaneous numtogenesis in human cells and demonstrate an association between brain cortical somatic Numts and human lifespan. These findings open the possibility that mito-nuclear horizontal gene transfer among human postmitotic tissues produces functionally relevant human Numts over timescales shorter than previously assumed.
Collapse
Affiliation(s)
- Weichen Zhou
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, United States of America
| | - Kalpita R. Karan
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Wenjin Gu
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, United States of America
| | - Hans-Ulrich Klein
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, New York, United States of America
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Gabriel Sturm
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, California, United States of America
| | - Philip L. De Jager
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, New York, United States of America
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, United States of America
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois, United States of America
| | - Michio Hirano
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Martin Picard
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
- Department of Neurology, H. Houston Merritt Center, Columbia University Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, New York, United States of America
- New York State Psychiatric Institute, New York, New York, United States of America
- Robert N Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, New York, United States of America
| | - Ryan E. Mills
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, United States of America
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, Michigan, United States of America
| |
Collapse
|
12
|
Demetriou K, Nisbet J, Coman D, Ewing AD, Phillips L, Smith S, Lipke M, Inwood A, Spicer J, Atthow C, Wilgen U, Robertson T, McWhinney A, Swenson R, Espley B, Snowdon B, McGill JJ, Summers KM. Molecular genetic analysis of candidate genes for glutaric aciduria type II in a cohort of patients from Queensland, Australia. Mol Genet Metab 2024; 142:108516. [PMID: 38941880 DOI: 10.1016/j.ymgme.2024.108516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 06/11/2024] [Accepted: 06/14/2024] [Indexed: 06/30/2024]
Abstract
Glutaric aciduria type II (GAII) is a heterogeneous genetic disorder affecting mitochondrial fatty acid, amino acid and choline oxidation. Clinical manifestations vary across the lifespan and onset may occur at any time from the early neonatal period to advanced adulthood. Historically, some patients, in particular those with late onset disease, have experienced significant benefit from riboflavin supplementation. GAII has been considered an autosomal recessive condition caused by pathogenic variants in the gene encoding electron-transfer flavoprotein ubiquinone-oxidoreductase (ETFDH) or in the genes encoding electron-transfer flavoprotein subunits A and B (ETFA and ETFB respectively). Variants in genes involved in riboflavin metabolism have also been reported. However, in some patients, molecular analysis has failed to reveal diagnostic molecular results. In this study, we report the outcome of molecular analysis in 28 Australian patients across the lifespan, 10 paediatric and 18 adult, who had a diagnosis of glutaric aciduria type II based on both clinical and biochemical parameters. Whole genome sequencing was performed on 26 of the patients and two neonatal onset patients had targeted sequencing of candidate genes. The two patients who had targeted sequencing had biallelic pathogenic variants (in ETFA and ETFDH). None of the 26 patients whose whole genome was sequenced had biallelic variants in any of the primary candidate genes. Interestingly, nine of these patients (34.6%) had a monoallelic pathogenic or likely pathogenic variant in a single primary candidate gene and one patient (3.9%) had a monoallelic pathogenic or likely pathogenic variant in two separate genes within the same pathway. The frequencies of the damaging variants within ETFDH and FAD transporter gene SLC25A32 were significantly higher than expected when compared to the corresponding allele frequencies in the general population. The remaining 16 patients (61.5%) had no pathogenic or likely pathogenic variants in the candidate genes. Ten (56%) of the 18 adult patients were taking the selective serotonin reuptake inhibitor antidepressant sertraline, which has been shown to produce a GAII phenotype, and another two adults (11%) were taking a serotonin-norepinephrine reuptake inhibitor antidepressant, venlafaxine or duloxetine, which have a mechanism of action overlapping that of sertraline. Riboflavin deficiency can also mimic both the clinical and biochemical phenotype of GAII. Several patients on these antidepressants showed an initial response to riboflavin but then that response waned. These results suggest that the GAII phenotype can result from a complex interaction between monoallelic variants and the cellular environment. Whole genome or targeted gene panel analysis may not provide a clear molecular diagnosis.
Collapse
Affiliation(s)
- Kalliope Demetriou
- Queensland Lifespan Metabolic Medicine Service, Queensland Children's Hospital, South Brisbane, QLD 4101, Australia
| | - Janelle Nisbet
- Queensland Lifespan Metabolic Medicine Service, Mater Hospital Brisbane, South Brisbane, QLD 4101, Australia
| | - David Coman
- Queensland Lifespan Metabolic Medicine Service, Mater Hospital Brisbane, South Brisbane, QLD 4101, Australia; Wesley Medical Centre, Auchenflower, QLD 4066, Australia; University of Queensland, St Lucia, QLD 4072, Australia
| | - Adam D Ewing
- Mater Research Institute-University of Queensland, Translational Research Institute, 37 Kent St, Woolloongabba, QLD 4102, Australia
| | - Liza Phillips
- Queensland Lifespan Metabolic Medicine Service, Mater Hospital Brisbane, South Brisbane, QLD 4101, Australia
| | - Sally Smith
- Queensland Lifespan Metabolic Medicine Service, Queensland Children's Hospital, South Brisbane, QLD 4101, Australia; Queensland Lifespan Metabolic Medicine Service, Mater Hospital Brisbane, South Brisbane, QLD 4101, Australia
| | - Michelle Lipke
- Queensland Lifespan Metabolic Medicine Service, Queensland Children's Hospital, South Brisbane, QLD 4101, Australia; Queensland Lifespan Metabolic Medicine Service, Mater Hospital Brisbane, South Brisbane, QLD 4101, Australia
| | - Anita Inwood
- Queensland Lifespan Metabolic Medicine Service, Queensland Children's Hospital, South Brisbane, QLD 4101, Australia; Queensland Lifespan Metabolic Medicine Service, Mater Hospital Brisbane, South Brisbane, QLD 4101, Australia; University of Queensland, St Lucia, QLD 4072, Australia
| | - Janette Spicer
- Queensland Lifespan Metabolic Medicine Service, Queensland Children's Hospital, South Brisbane, QLD 4101, Australia
| | - Catherine Atthow
- Queensland Lifespan Metabolic Medicine Service, Queensland Children's Hospital, South Brisbane, QLD 4101, Australia
| | - Urs Wilgen
- University of Queensland, St Lucia, QLD 4072, Australia; Chemical Pathology, Pathology Queensland, Royal Brisbane and Women's Hospital, Herston, QLD 4029, Australia
| | - Thomas Robertson
- University of Queensland, St Lucia, QLD 4072, Australia; Anatomical Pathology, Pathology Queensland, Royal Brisbane and Women's Hospital, Herston, QLD 4029, Australia
| | - Avis McWhinney
- Chemical Pathology, Mater Pathology, Mater Hospital, Mater Hospital Brisbane, QLD 4101, Australia
| | - Rebecca Swenson
- Chemical Pathology, Pathology Queensland, Royal Brisbane and Women's Hospital, Herston, QLD 4029, Australia
| | - Brayden Espley
- Chemical Pathology, Pathology Queensland, Royal Brisbane and Women's Hospital, Herston, QLD 4029, Australia
| | - Brianna Snowdon
- Chemical Pathology, Pathology Queensland, Royal Brisbane and Women's Hospital, Herston, QLD 4029, Australia
| | - James J McGill
- Queensland Lifespan Metabolic Medicine Service, Queensland Children's Hospital, South Brisbane, QLD 4101, Australia; Queensland Lifespan Metabolic Medicine Service, Mater Hospital Brisbane, South Brisbane, QLD 4101, Australia; Chemical Pathology, Pathology Queensland, Royal Brisbane and Women's Hospital, Herston, QLD 4029, Australia; Chemical Pathology, Mater Pathology, Mater Hospital, Mater Hospital Brisbane, QLD 4101, Australia
| | - Kim M Summers
- Mater Research Institute-University of Queensland, Translational Research Institute, 37 Kent St, Woolloongabba, QLD 4102, Australia.
| |
Collapse
|
13
|
Dietzen M, Zhai H, Lucas O, Pich O, Barrington C, Lu WT, Ward S, Guo Y, Hynds RE, Zaccaria S, Swanton C, McGranahan N, Kanu N. Replication timing alterations are associated with mutation acquisition during breast and lung cancer evolution. Nat Commun 2024; 15:6039. [PMID: 39019871 PMCID: PMC11255325 DOI: 10.1038/s41467-024-50107-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 07/01/2024] [Indexed: 07/19/2024] Open
Abstract
During each cell cycle, the process of DNA replication timing is tightly regulated to ensure the accurate duplication of the genome. The extent and significance of alterations in this process during malignant transformation have not been extensively explored. Here, we assess the impact of altered replication timing (ART) on cancer evolution by analysing replication-timing sequencing of cancer and normal cell lines and 952 whole-genome sequenced lung and breast tumours. We find that 6%-18% of the cancer genome exhibits ART, with regions with a change from early to late replication displaying an increased mutation rate and distinct mutational signatures. Whereas regions changing from late to early replication contain genes with increased expression and present a preponderance of APOBEC3-mediated mutation clusters and associated driver mutations. We demonstrate that ART occurs relatively early during cancer evolution and that ART may have a stronger correlation with mutation acquisition than alterations in chromatin structure.
Collapse
Affiliation(s)
- Michelle Dietzen
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Haoran Zhai
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Olivia Lucas
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
- Department of Oncology, University College London Hospitals, London, UK
| | - Oriol Pich
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Christopher Barrington
- Bioinformatics and Biostatistics Science Technology Platform, The Francis Crick Institute, London, UK
| | - Wei-Ting Lu
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Sophia Ward
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Advanced Sequencing Facility, The Francis Crick Institute, London, UK
| | - Yanping Guo
- CRUK Flow Cytometry Translational Technology Platform, UCL Cancer Institute, London, UK
| | - Robert E Hynds
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Simone Zaccaria
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Department of Oncology, University College London Hospitals, London, UK
| | - Nicholas McGranahan
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
| | - Nnennaya Kanu
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
| |
Collapse
|
14
|
Wilkerson MD, Hupalo D, Gray JC, Zhang X, Wang J, Girgenti MJ, Alba C, Sukumar G, Lott NM, Naifeh JA, Aliaga P, Kessler RC, Turner C, Pollard HB, Dalgard CL, Ursano RJ, Stein MB. Uncommon Protein-Coding Variants Associated With Suicide Attempt in a Diverse Sample of U.S. Army Soldiers. Biol Psychiatry 2024; 96:15-25. [PMID: 38141912 DOI: 10.1016/j.biopsych.2023.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 12/02/2023] [Accepted: 12/05/2023] [Indexed: 12/25/2023]
Abstract
BACKGROUND Suicide is a societal and public health concern of global scale. Identifying genetic risk factors for suicide attempt can characterize underlying biology and enable early interventions to prevent deaths. Recent studies have described common genetic variants for suicide-related behaviors. Here, we advance this search for genetic risk by analyzing the association between suicide attempt and uncommon variation exome-wide in a large, ancestrally diverse sample. METHODS We sequenced whole genomes of 13,584 soldiers from the Army STARRS (Army Study to Assess Risk and Resilience in Servicemembers), including 979 individuals with a history of suicide attempt. Uncommon, nonsilent protein-coding variants were analyzed exome-wide for association with suicide attempt using gene-collapsed and single-variant analyses. RESULTS We identified 19 genes with variants enriched in individuals with history of suicide attempt, either through gene-collapsed or single-variant analysis (Bonferroni padjusted < .05). These genes were CIB2, MLF1, HERC1, YWHAE, RCN2, VWA5B1, ATAD3A, NACA, EP400, ZNF585A, LYST, RC3H2, PSD3, STARD9, SGMS1, ACTR6, RGS7BP, DIRAS2, and KRTAP10-1. Most genes had variants across multiple genomic ancestry groups. Seventeen of these genes were expressed in healthy brain tissue, with 9 genes expressed at the highest levels in the brain versus other tissues. Brains from individuals deceased from suicide aberrantly expressed RGS7BP (padjusted = .035) in addition to nominally significant genes including YWHAE and ACTR6, all of which have reported associations with other mental disorders. CONCLUSIONS These results advance the molecular characterization of suicide attempt behavior and support the utility of whole-genome sequencing for complementing the findings of genome-wide association studies in suicide research.
Collapse
Affiliation(s)
- Matthew D Wilkerson
- Center for Military Precision Health, Uniformed Services University, Bethesda, Maryland; Department of Anatomy, Physiology, and Genetics, Uniformed Services University, Bethesda, Maryland
| | - Daniel Hupalo
- Center for Military Precision Health, Uniformed Services University, Bethesda, Maryland
| | - Joshua C Gray
- Department of Medical and Clinical Psychology, Uniformed Services University, Bethesda, Maryland
| | - Xijun Zhang
- Center for Military Precision Health, Uniformed Services University, Bethesda, Maryland
| | - Jiawei Wang
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Matthew J Girgenti
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Camille Alba
- Center for Military Precision Health, Uniformed Services University, Bethesda, Maryland
| | - Gauthaman Sukumar
- Center for Military Precision Health, Uniformed Services University, Bethesda, Maryland
| | - Nathaniel M Lott
- Department of Microbiology and Immunology, Uniformed Services University, Bethesda, Maryland
| | - James A Naifeh
- Center for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
| | - Pablo Aliaga
- Center for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Clesson Turner
- Department of Pediatrics, Uniformed Services University, Bethesda, Maryland
| | - Harvey B Pollard
- Department of Anatomy, Physiology, and Genetics, Uniformed Services University, Bethesda, Maryland
| | - Clifton L Dalgard
- Center for Military Precision Health, Uniformed Services University, Bethesda, Maryland; Department of Anatomy, Physiology, and Genetics, Uniformed Services University, Bethesda, Maryland
| | - Robert J Ursano
- Center for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
| | - Murray B Stein
- Department of Psychiatry, University of California San Diego, La Jolla, California; Herbert Wertheim School of Public Health, University of California San Diego, La Jolla, California; VA San Diego Healthcare System, San Diego, California.
| |
Collapse
|
15
|
Chan H, Ni F, Zhao B, Jiang H, Ding J, Wang L, Wang X, Cui J, Feng S, Gao X, Yang X, Chi H, Lee H, Chen X, Li X, Jiao J, Wu D, Zhang G, Wang M, Cun Y, Ruan X, Yang H, Li Q. A genomic association study revealing subphenotypes of childhood steroid-sensitive nephrotic syndrome in a larger genomic sequencing cohort. Genes Dis 2024; 11:101126. [PMID: 38560502 PMCID: PMC10978544 DOI: 10.1016/j.gendis.2023.101126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 08/03/2023] [Accepted: 08/21/2023] [Indexed: 04/04/2024] Open
Abstract
Dissecting the genetic components that contribute to the two main subphenotypes of steroid-sensitive nephrotic syndrome (SSNS) using genome-wide association studies (GWAS) strategy is important for understanding the disease. We conducted a multicenter cohort study (360 patients and 1835 controls) combined with a GWAS strategy to identify susceptibility variants associated with the following two subphenotypes of SSNS: steroid-sensitive nephrotic syndrome without relapse (SSNSWR, 181 patients) and steroid-dependent/frequent relapse nephrotic syndrome (SDNS/FRNS, 179 patients). The distribution of two single-nucleotide polymorphisms (SNPs) in ANKRD36 and ALPG was significant between SSNSWR and healthy controls, and that of two SNPs in GAD1 and HLA-DQA1 was significant between SDNS/FRNS and healthy controls. Interestingly, rs1047989 in HLA-DQA1 was a candidate locus for SDNS/FRNS but not for SSNSWR. No significant SNPs were observed between SSNSWR and SDNS/FRNS. Meanwhile, chromosome 2:171713702 in GAD1 was associated with a greater steroid dose (>0.75 mg/kg/d) upon relapse to first remission in patients with SDNS/FRNS (odds ratio = 3.14; 95% confidence interval, 0.97-9.87; P = 0.034). rs117014418 in APOL4 was significantly associated with a decrease in eGFR of greater than 20% compared with the baseline in SDNS/FRNS patients (P = 0.0001). Protein-protein intersection network construction suggested that HLA-DQA1 and HLA-DQB1 function together through GSDMA. Thus, SSNSWR belongs to non-HLA region-dependent nephropathy, and the HLA-DQA/DQB region is likely strongly associated with disease relapse, especially in SDNS/FRNS. The study provides a novel approach for the GWAS strategy of SSNS and contributes to our understanding of the pathological mechanisms of SSNSWR and SDNS/FRNS.
Collapse
Affiliation(s)
- Han Chan
- Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Fenfen Ni
- Department of Nephrology, Shenzhen Children's Hospital, Shenzhen, Guangdong 518034, China
| | - Bo Zhao
- Department of Nephrology, Kunming Children's Hospital, Kunming Medical University, Kunming, Yunnan 650228, China
| | - Huimin Jiang
- Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Juanjuan Ding
- Department of Nephrology, Wuhan Children's Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei 430015, China
| | - Li Wang
- Department of Nephrology, Chengdu Women and Children Central Hospital, Chengdu, Sichuan 610073, China
| | - Xiaowen Wang
- Department of Nephrology, Wuhan Children's Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei 430015, China
| | - Jingjing Cui
- Department of Nephrology, Kunming Children's Hospital, Kunming Medical University, Kunming, Yunnan 650228, China
| | - Shipin Feng
- Department of Nephrology, Chengdu Women and Children Central Hospital, Chengdu, Sichuan 610073, China
| | - Xiaojie Gao
- Department of Nephrology, Shenzhen Children's Hospital, Shenzhen, Guangdong 518034, China
| | - Xueying Yang
- Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Huan Chi
- Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Hao Lee
- Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Xuelan Chen
- Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Xiaoqin Li
- Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Jia Jiao
- Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Daoqi Wu
- Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Gaofu Zhang
- Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Mo Wang
- Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Yupeng Cun
- Pediatric Research Institute, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China
| | - Xiongzhong Ruan
- Department of Nephrology, John Moorhead Research Laboratory, University College London Medical School, Royal Free Campus, University College London, London NW3 2PF, United Kingdom
| | - Haiping Yang
- Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Qiu Li
- Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| |
Collapse
|
16
|
Rossi N, Syed N, Visconti A, Aliyev E, Berry S, Bourbon M, Spector TD, Hysi PG, Fakhro KA, Falchi M. Rare variants at KCNJ2 are associated with LDL-cholesterol levels in a cross-population study. NPJ Genom Med 2024; 9:36. [PMID: 38942744 PMCID: PMC11213907 DOI: 10.1038/s41525-024-00417-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 05/03/2024] [Indexed: 06/30/2024] Open
Abstract
Leveraging whole genome sequencing data of 1751 individuals from the UK and 2587 Qatari subjects, we suggest here an association of rare variants mapping to the sour taste-associated gene KCNJ2 with reduced low-density lipoprotein cholesterol (LDL-C, P = 2.10 × 10-12) and with a 22% decreased dietary trans-fat intake. This study identifies a novel candidate rare locus for LDL-C, adding insights into the genetic architecture of a complex trait implicated in cardiovascular disease.
Collapse
Affiliation(s)
- Niccolò Rossi
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
| | - Najeeb Syed
- Department of Human Genetics, Sidra Medical and Research Center, Doha, Qatar
| | - Alessia Visconti
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
- Center for Biostatistics, Epidemiology and Public Health, Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
| | - Elbay Aliyev
- Department of Human Genetics, Sidra Medical and Research Center, Doha, Qatar
| | - Sarah Berry
- Department of Nutritional Sciences, King's College London, London, UK
| | - Mafalda Bourbon
- Cardiovascular Research Group, Department of Health Promotion and Prevention of non-Communicable Diseases, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisbon, Portugal
| | - Tim D Spector
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
| | - Pirro G Hysi
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
| | - Khalid A Fakhro
- Department of Human Genetics, Sidra Medical and Research Center, Doha, Qatar
- Department of Genetic Medicine, Weill-Cornell Medical College, Doha, Qatar
| | - Mario Falchi
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
| |
Collapse
|
17
|
Cesana D, Cicalese MP, Calabria A, Merli P, Caruso R, Volpin M, Rudilosso L, Migliavacca M, Barzaghi F, Fossati C, Gazzo F, Pizzi S, Ciolfi A, Bruselles A, Tucci F, Spinozzi G, Pais G, Benedicenti F, Barcella M, Merelli I, Gallina P, Giannelli S, Dionisio F, Scala S, Casiraghi M, Strocchio L, Vinti L, Pacillo L, Draghi E, Cesana M, Riccardo S, Colantuono C, Six E, Cavazzana M, Carlucci F, Schmidt M, Cancrini C, Ciceri F, Vago L, Cacchiarelli D, Gentner B, Naldini L, Tartaglia M, Montini E, Locatelli F, Aiuti A. A case of T-cell acute lymphoblastic leukemia in retroviral gene therapy for ADA-SCID. Nat Commun 2024; 15:3662. [PMID: 38688902 PMCID: PMC11061298 DOI: 10.1038/s41467-024-47866-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 04/10/2024] [Indexed: 05/02/2024] Open
Abstract
Hematopoietic stem cell gene therapy (GT) using a γ-retroviral vector (γ-RV) is an effective treatment for Severe Combined Immunodeficiency due to Adenosine Deaminase deficiency. Here, we describe a case of GT-related T-cell acute lymphoblastic leukemia (T-ALL) that developed 4.7 years after treatment. The patient underwent chemotherapy and haploidentical transplantation and is currently in remission. Blast cells contain a single vector insertion activating the LIM-only protein 2 (LMO2) proto-oncogene, confirmed by physical interaction, and low Adenosine Deaminase (ADA) activity resulting from methylation of viral promoter. The insertion is detected years before T-ALL in multiple lineages, suggesting that further hits occurred in a thymic progenitor. Blast cells contain known and novel somatic mutations as well as germline mutations which may have contributed to transformation. Before T-ALL onset, the insertion profile is similar to those of other ADA-deficient patients. The limited incidence of vector-related adverse events in ADA-deficiency compared to other γ-RV GT trials could be explained by differences in transgenes, background disease and patient's specific factors.
Collapse
Affiliation(s)
- Daniela Cesana
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria Pia Cicalese
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
- Paediatric Immunohematology and Bone Marrow Transplantation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Andrea Calabria
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Pietro Merli
- IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | | | - Monica Volpin
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Laura Rudilosso
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maddalena Migliavacca
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
- Paediatric Immunohematology and Bone Marrow Transplantation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Federica Barzaghi
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
- Paediatric Immunohematology and Bone Marrow Transplantation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Claudia Fossati
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Francesco Gazzo
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Simone Pizzi
- Molecular Genetics and Functional Genomics, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Andrea Ciolfi
- Molecular Genetics and Functional Genomics, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Alessandro Bruselles
- Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Rome, Italy
| | - Francesca Tucci
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
- Paediatric Immunohematology and Bone Marrow Transplantation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Giulio Spinozzi
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Giulia Pais
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Fabrizio Benedicenti
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Matteo Barcella
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
- National Research Council, Institute for Biomedical Technologies, Segrate, Italy
| | - Ivan Merelli
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
- National Research Council, Institute for Biomedical Technologies, Segrate, Italy
| | - Pierangela Gallina
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Stefania Giannelli
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Francesca Dionisio
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Serena Scala
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Miriam Casiraghi
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | | | - Lucia Pacillo
- Immune and Infectious Diseases Division, Research Unit of Primary Immunodeficiencies, Academic Department of Pediatrics, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Eleonora Draghi
- Immunogenetics, Leukemia Genomics and Immunobiology Unit, Division of Immunology, Transplantation and Infectious Diseases, Ospedale San Raffaele Scientific Institute, 20132, Milan, Italy
| | - Marcella Cesana
- Telethon Institute of Genetics and Medicine (TIGEM), Armenise/Harvard Laboratory of Integrative Genomics, Pozzuoli, Italy
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Sara Riccardo
- Telethon Institute of Genetics and Medicine (TIGEM), Armenise/Harvard Laboratory of Integrative Genomics, Pozzuoli, Italy
- NEGEDIA S.r.l., Pozzuoli, Italy
| | - Chiara Colantuono
- Telethon Institute of Genetics and Medicine (TIGEM), Armenise/Harvard Laboratory of Integrative Genomics, Pozzuoli, Italy
- NEGEDIA S.r.l., Pozzuoli, Italy
| | - Emmanuelle Six
- Laboratory of Human Lympho-hematopoiesis, INSERM, Paris, France
| | | | - Filippo Carlucci
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | | | - Caterina Cancrini
- Immune and Infectious Diseases Division, Research Unit of Primary Immunodeficiencies, Academic Department of Pediatrics, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
- Department of Systems Medicine University of Rome Tor Vergata, Rome, Italy
| | - Fabio Ciceri
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
- Haematology and Bone Marrow Transplantation Unit, San Raffaele Scientific Institute, Milan, Italy
| | - Luca Vago
- Università Vita-Salute San Raffaele, Milan, Italy
- Immunogenetics, Leukemia Genomics and Immunobiology Unit, Division of Immunology, Transplantation and Infectious Diseases, Ospedale San Raffaele Scientific Institute, 20132, Milan, Italy
- Haematology and Bone Marrow Transplantation Unit, San Raffaele Scientific Institute, Milan, Italy
| | - Davide Cacchiarelli
- Telethon Institute of Genetics and Medicine (TIGEM), Armenise/Harvard Laboratory of Integrative Genomics, Pozzuoli, Italy
- Department of Translational Medicine, University of Naples "Federico II", Naples, Italy
- School for Advanced Studies, Genomics and Experimental Medicine Program, University of Naples "Federico II", Naples, Italy
| | - Bernhard Gentner
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
- Haematology and Bone Marrow Transplantation Unit, San Raffaele Scientific Institute, Milan, Italy
| | - Luigi Naldini
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Marco Tartaglia
- Molecular Genetics and Functional Genomics, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Eugenio Montini
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Franco Locatelli
- Department of Pediatric Hematology/Oncology and Cell and Gene Therapy, IRCCS Ospedale Pediatrico Bambino Gesù, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Alessandro Aiuti
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Paediatric Immunohematology and Bone Marrow Transplantation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Università Vita-Salute San Raffaele, Milan, Italy.
| |
Collapse
|
18
|
Jiang Y, Peng Y, Tian Q, Cheng Z, Feng B, Hu J, Xia L, Guo H, Xia K, Zhou L, Hu Z. Intergenic sequences harboring potential enhancer elements contribute to Axenfeld-Rieger syndrome by regulating PITX2. JCI Insight 2024; 9:e177032. [PMID: 38592784 PMCID: PMC11141933 DOI: 10.1172/jci.insight.177032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 03/27/2024] [Indexed: 04/11/2024] Open
Abstract
Recent studies have uncovered that noncoding sequence variants may relate to Axenfeld-Rieger syndrome (ARS), a rare developmental anomaly with genetic heterogeneity. However, how these genomic regions are functionally and structurally associated with ARS is still unclear. In this study, we performed genome-wide linkage analysis and whole-genome sequencing in a Chinese family with ARS and identified a heterozygous deletion of about 570 kb (termed LOH-1) in the intergenic sequence between paired-like homeodomain transcription factor 2 (PITX2) and family with sequence similarity 241 member A. Knockout of LOH-1 homologous sequences caused ARS phenotypes in mice. RNA-Seq and real-time quantitative PCR revealed a significant reduction in Pitx2 gene expression in LOH-1-/- mice, while forkhead box C1 expression remained unchanged. ChIP-Seq and bioinformatics analysis identified a potential enhancer region (LOH-E1) within LOH-1. Deletion of LOH-E1 led to a substantial downregulation of the PITX2 gene. Mechanistically, we found a sequence (hg38 chr4:111,399,594-111,399,691) that is on LOH-E1 could regulate PITX2 by binding to RAD21, a critical component of the cohesin complex. Knockdown of RAD21 resulted in reduced PITX2 expression. Collectively, our findings indicate that a potential enhancer sequence that is within LOH-1 may regulate PITX2 expression remotely through cohesin-mediated loop domains, leading to ARS when absent.
Collapse
Affiliation(s)
- Yizheng Jiang
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
| | - Yu Peng
- Department of Medical Genetics, The Affiliated Children’s Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Qi Tian
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
| | - Zhe Cheng
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
| | - Bei Feng
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
| | - Junping Hu
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
| | - Lu Xia
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
| | - Hui Guo
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
| | - Kun Xia
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
- MOE Key Laboratory of Rare Pediatric Diseases, Hengyang Medical School, University of South China, Hengyang, China
| | - Liang Zhou
- Department of Ophthalmology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Zhengmao Hu
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
| |
Collapse
|
19
|
Baumgartner F, Baer C, Bamopoulos S, Ayoub E, Truger M, Meggendorfer M, Lenk M, Hoermann G, Hutter S, Müller H, Walter W, Müller ML, Nadarajah N, Blombery P, Keller U, Kern W, Haferlach C, Haferlach T. Comparing malignant monocytosis across the updated WHO and ICC classifications of 2022. Blood 2024; 143:1139-1156. [PMID: 38064663 PMCID: PMC10972715 DOI: 10.1182/blood.2023021199] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 11/16/2023] [Indexed: 03/22/2024] Open
Abstract
ABSTRACT The World Health Organization (WHO) classification of hematolymphoid tumors and the International Consensus Classification (ICC) of 2022 introduced major changes to the definition of chronic myelomonocytic leukemia (CMML). To assess its qualitative and quantitative implications for patient care, we started with 3311 established CMML cases (according to WHO 2017 criteria) and included 2130 oligomonocytosis cases fulfilling the new CMML diagnostic criteria. Applying both 2022 classification systems, 356 and 241 of oligomonocytosis cases were newly classified as myelodysplastic (MD)-CMML (WHO and ICC 2022, respectively), most of which were diagnosed as myelodysplastic syndrome (MDS) according to the WHO 2017 classification. Importantly, 1.5 times more oligomonocytosis cases were classified as CMML according to WHO 2022 than based on ICC, because of different diagnostic criteria. Genetic analyses of the newly classified CMML cases showed a distinct mutational profile with strong enrichment of MDS-typical alterations, resulting in a transcriptional subgroup separated from established MD and myeloproliferative CMML. Despite a different cytogenetic, molecular, immunophenotypic, and transcriptional landscape, no differences in overall survival were found between newly classified and established MD-CMML cases. To the best of our knowledge, this study represents the most comprehensive analysis of routine CMML cases to date, both in terms of clinical characterization and transcriptomic analysis, placing newly classified CMML cases on a disease continuum between MDS and previously established CMML.
Collapse
Affiliation(s)
- Francis Baumgartner
- Munich Leukemia Laboratory, Munich, Germany
- Department of Hematology, Oncology, and Cancer Immunology, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, Berlin Institute of Health at Charité (Junior) (Digital) Clinician Scientist Program, Berlin, Germany
| | | | - Stefanos Bamopoulos
- Department of Hematology, Oncology, and Cancer Immunology, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, Berlin Institute of Health at Charité (Junior) (Digital) Clinician Scientist Program, Berlin, Germany
| | - Edward Ayoub
- Munich Leukemia Laboratory, Munich, Germany
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | | | | | | | | | | | | | | | - Piers Blombery
- Munich Leukemia Laboratory, Munich, Germany
- Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Ulrich Keller
- Department of Hematology, Oncology, and Cancer Immunology, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Max Delbrück Center, Berlin, Germany
| | | | | | | |
Collapse
|
20
|
Bateman NW, Abulez T, Soltis AR, McPherson A, Choi S, Garsed DW, Pandey A, Tian C, Hood BL, Conrads KA, Teng PN, Oliver J, Gist G, Mitchell D, Litzi TJ, Tarney CM, Crothers BA, Mhawech-Fauceglia P, Dalgard CL, Wilkerson MD, Pierobon M, Petricoin EF, Yan C, Meerzaman D, Bodelon C, Wentzensen N, Lee JSH, Huntsman DG, Shah S, Shriver CD, Phippen NT, Darcy KM, Bowtell DDL, Conrads TP, Maxwell GL. Proteogenomic analysis of enriched HGSOC tumor epithelium identifies prognostic signatures and therapeutic vulnerabilities. NPJ Precis Oncol 2024; 8:68. [PMID: 38480868 PMCID: PMC10937683 DOI: 10.1038/s41698-024-00519-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 01/15/2024] [Indexed: 03/17/2024] Open
Abstract
We performed a deep proteogenomic analysis of bulk tumor and laser microdissection enriched tumor cell populations from high-grade serous ovarian cancer (HGSOC) tissue specimens spanning a broad spectrum of purity. We identified patients with longer progression-free survival had increased immune-related signatures and validated proteins correlating with tumor-infiltrating lymphocytes in 65 tumors from an independent cohort of HGSOC patients, as well as with overall survival in an additional 126 HGSOC patient cohort. We identified that homologous recombination deficient (HRD) tumors are enriched in pathways associated with metabolism and oxidative phosphorylation that we validated in independent patient cohorts. We further identified that polycomb complex protein BMI-1 is elevated in HR proficient (HRP) tumors, that elevated BMI-1 correlates with poor overall survival in HRP but not HRD HGSOC patients, and that HRP HGSOC cells are uniquely sensitive to BMI-1 inhibition.
Collapse
Affiliation(s)
- Nicholas W Bateman
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA.
- The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA.
| | - Tamara Abulez
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Anthony R Soltis
- The American Genome Center, Collaborative Health Initiative Research Program, Department of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Andrew McPherson
- Department of Computational Oncology, Memorial Sloan Kettering Cancer Center, Manhattan, NY, USA
| | - Seongmin Choi
- Department of Computational Oncology, Memorial Sloan Kettering Cancer Center, Manhattan, NY, USA
| | - Dale W Garsed
- Peter MacCallum Cancer Centre, Parkville, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Ahwan Pandey
- Peter MacCallum Cancer Centre, Parkville, Melbourne, Victoria, Australia
| | - Chunqiao Tian
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Brian L Hood
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Kelly A Conrads
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Pang-Ning Teng
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Julie Oliver
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Glenn Gist
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Dave Mitchell
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Tracy J Litzi
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Christopher M Tarney
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Barbara A Crothers
- The Joint Pathology Center, Defense Health Agency, National Capital Region Medical Directorate, Silver Spring, MD, USA
| | - Paulette Mhawech-Fauceglia
- Department of Anatomic Pathology, Division of Gynecologic Pathology, University of Southern California, Los Angeles, CA, USA
| | - Clifton L Dalgard
- The American Genome Center, Collaborative Health Initiative Research Program, Department of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Matthew D Wilkerson
- The American Genome Center, Collaborative Health Initiative Research Program, Department of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Mariaelena Pierobon
- Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA
| | - Emanuel F Petricoin
- Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA
| | - Chunhua Yan
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD, USA
| | - Daoud Meerzaman
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD, USA
| | - Clara Bodelon
- Division of Cancer Epidemiology and Genetics National Cancer Institute, Rockville, MD, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics National Cancer Institute, Rockville, MD, USA
| | - Jerry S H Lee
- Ellison Institute for Transformative Medicine, University of Southern California, Los Angeles, CA, USA
| | - David G Huntsman
- Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Sohrab Shah
- Department of Computational Oncology, Memorial Sloan Kettering Cancer Center, Manhattan, NY, USA
| | - Craig D Shriver
- The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Neil T Phippen
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Kathleen M Darcy
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
- The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - David D L Bowtell
- Peter MacCallum Cancer Centre, Parkville, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Thomas P Conrads
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
- The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA.
- Women's Health Integrated Research Center, Women's Service Line, Inova Health System, Falls Church, VA, USA.
| | - G Larry Maxwell
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
- The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA.
- Women's Health Integrated Research Center, Women's Service Line, Inova Health System, Falls Church, VA, USA.
| |
Collapse
|
21
|
Wang P, Lynn A, Miskimen K, Song YE, Wisniewski T, Cohen M, Appleby BS, Safar JG, Haines JL. Genome-wide association studies identify novel loci in rapidly progressive Alzheimer's disease. Alzheimers Dement 2024; 20:2034-2046. [PMID: 38184787 PMCID: PMC10984493 DOI: 10.1002/alz.13655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 11/27/2023] [Accepted: 11/30/2023] [Indexed: 01/08/2024]
Abstract
INTRODUCTION Recent data suggest that distinct prion-like amyloid beta and tau strains are associated with rapidly progressive Alzheimer's disease (rpAD). The role of genetic factors in rpAD is largely unknown. METHODS Previously known AD risk loci were examined in rpAD cases. Genome-wide association studies (GWAS) were performed to identify variants that influence rpAD. RESULTS We identified 115 pathology-confirmed rpAD cases and 193 clinical rpAD cases, 80% and 69% were of non-Hispanic European ancestry. Compared to the clinical cohort, pathology-confirmed rpAD had higher frequencies of apolipoprotein E (APOE) ε4 and rare missense variants in AD risk genes. A novel genome-wide significant locus (P < 5×10-8 ) was observed for clinical rpAD on chromosome 21 (rs2832546); 102 loci showed suggestive associations with pathology-confirmed rpAD (P < 1×10-5 ). DISCUSSION rpAD constitutes an extreme subtype of AD with distinct features. GWAS found previously known and novel loci associated with rpAD. Highlights Rapidly progressive Alzheimer's disease (rpAD) was defined with different criteria. Whole genome sequencing identified rare missense variants in rpAD. Novel variants were identified for clinical rpAD on chromosome 21.
Collapse
Affiliation(s)
- Ping Wang
- Department of Population and Quantitative Health SciencesSchool of Medicine, Case Western Reserve UniversityClevelandOhioUSA
| | - Audrey Lynn
- Department of Population and Quantitative Health SciencesSchool of Medicine, Case Western Reserve UniversityClevelandOhioUSA
- Cleveland Institute for Computational BiologyClevelandOhioUSA
| | - Kristy Miskimen
- Department of Population and Quantitative Health SciencesSchool of Medicine, Case Western Reserve UniversityClevelandOhioUSA
| | - Yeunjoo E. Song
- Department of Population and Quantitative Health SciencesSchool of Medicine, Case Western Reserve UniversityClevelandOhioUSA
| | - Thomas Wisniewski
- Departments of NeurologyPathology and PsychiatryCenter for Cognitive Neurology, NYU Grossman School of MedicineNew YorkNew YorkUSA
| | - Mark Cohen
- Department of PathologyCase Western Reserve UniversityClevelandOhioUSA
- National Prion Disease Pathology Surveillance CenterCase Western Reserve UniversityClevelandOhioUSA
| | - Brian S. Appleby
- Department of PathologyCase Western Reserve UniversityClevelandOhioUSA
- National Prion Disease Pathology Surveillance CenterCase Western Reserve UniversityClevelandOhioUSA
- Department of NeurologyCase Western Reserve UniversityClevelandOhioUSA
- Department of PsychiatryCase Western Reserve UniversityClevelandOhioUSA
| | - Jiri G. Safar
- Department of PathologyCase Western Reserve UniversityClevelandOhioUSA
- Department of NeurologyCase Western Reserve UniversityClevelandOhioUSA
- Department of NeurosciencesCase Western Reserve UniversityClevelandOhioUSA
| | - Jonathan L. Haines
- Department of Population and Quantitative Health SciencesSchool of Medicine, Case Western Reserve UniversityClevelandOhioUSA
- Cleveland Institute for Computational BiologyClevelandOhioUSA
| |
Collapse
|
22
|
Kubota Y, Gu X, Terkawi L, Bodo J, Przychodzen BP, Awada H, Williams N, Gurnari C, Kawashima N, Aly M, Durmaz A, Mori M, Ponvilawan B, Kewan T, Bahaj W, Meggendorfer M, Jha BK, Visconte V, Rogers HJ, Haferlach T, Maciejewski JP. Molecular and clinical analyses of PHF6 mutant myeloid neoplasia provide their pathogenesis and therapeutic targeting. Nat Commun 2024; 15:1832. [PMID: 38418452 PMCID: PMC10901781 DOI: 10.1038/s41467-024-46134-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 02/12/2024] [Indexed: 03/01/2024] Open
Abstract
PHF6 mutations (PHF6MT) are identified in various myeloid neoplasms (MN). However, little is known about the precise function and consequences of PHF6 in MN. Here we show three main findings in our comprehensive genomic and proteomic study. Firstly, we show a different pattern of genes correlating with PHF6MT in male and female cases. When analyzing male and female cases separately, in only male cases, RUNX1 and U2AF1 are co-mutated with PHF6. In contrast, female cases reveal co-occurrence of ASXL1 mutations and X-chromosome deletions with PHF6MT. Next, proteomics analysis reveals a direct interaction between PHF6 and RUNX1. Both proteins co-localize in active enhancer regions that define the context of lineage differentiation. Finally, we demonstrate a negative prognostic role of PHF6MT, especially in association with RUNX1. The negative effects on survival are additive as PHF6MT cases with RUNX1 mutations have worse outcomes when compared to cases carrying single mutation or wild-type.
Collapse
Affiliation(s)
- Yasuo Kubota
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Xiaorong Gu
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Laila Terkawi
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Juraj Bodo
- Department of Laboratory Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Bartlomiej P Przychodzen
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Hussein Awada
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Nakisha Williams
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Carmelo Gurnari
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Naomi Kawashima
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Mai Aly
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Arda Durmaz
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Minako Mori
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Ben Ponvilawan
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Tariq Kewan
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Waled Bahaj
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | | | - Babal K Jha
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
- Center for Immunotherapy and Precision Immuno-Oncology, Lerner Research Institute (LRI) Cleveland Clinic, Cleveland, OH, USA
| | - Valeria Visconte
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Heesun J Rogers
- Department of Laboratory Medicine, Cleveland Clinic, Cleveland, OH, USA
| | | | - Jaroslaw P Maciejewski
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
| |
Collapse
|
23
|
Lu X, Wang R, Li M, Zhang B, Rao H, Huang X, Chen X, Wu Y. Identification of two novel large deletions in FBN1 gene by next-generation sequencing and multiplex ligation-dependent probe amplification. BMC Med Genomics 2024; 17:47. [PMID: 38317175 PMCID: PMC10840365 DOI: 10.1186/s12920-024-01822-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 01/30/2024] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND Mutations in fibrillin-1 (FBN1) are known to be associated with Marfan syndrome (MFS), an autosomal dominant connective tissue disorder. Most FBN1 mutations are missense or nonsense mutations. Traditional molecular genetic testing for the FBN1 gene, like Sanger sequencing, may miss disease-causing mutations in the gene's regulatory regions or non-coding sequences, as well as partial or complete gene deletions and duplications. METHODS Next-generation sequencing, multiplex ligation-dependent probe amplification and gap PCR were conducted on two MFS patients to screen for disease-causing mutations. RESULTS We identified two large deletions in FBN1 from two MFS patients. One patient had a 0.23 Mb deletion (NC_000015.9:g.48550506_48779360del) including 5'UTR-exon6 of FBN1. The other patient harbored a 1416 bp deletion (NC_000015.9:g.48410869_48412284del) affecting the last exon, exon 66, of the FBN1 gene. CONCLUSION Our results expanded the number of large FBN1 deletions and highlighted the importance of screening for large deletions in FBN1 in clinical genetic testing, especially for those with the classic MFS phenotype.
Collapse
Affiliation(s)
- Xinxin Lu
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361004, China
| | - Ren Wang
- Department of Cardiovascular Surgery, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Mingjie Li
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Biao Zhang
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Huiying Rao
- Department of Ophthalmology, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Xiaoli Huang
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Xijun Chen
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Yan'an Wu
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China.
| |
Collapse
|
24
|
Karimnezhad A, Perkins TJ. Empirical Bayes single nucleotide variant-calling for next-generation sequencing data. Sci Rep 2024; 14:1550. [PMID: 38233494 PMCID: PMC10794290 DOI: 10.1038/s41598-024-51958-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 01/11/2024] [Indexed: 01/19/2024] Open
Abstract
One of the fundamental computational problems in cancer genomics is the identification of single nucleotide variants (SNVs) from DNA sequencing data. Many statistical models and software implementations for SNV calling have been developed in the literature, yet, they still disagree widely on real datasets. Based on an empirical Bayesian approach, we introduce a local false discovery rate (LFDR) estimator for germline SNV calling. Our approach learns model parameters without prior information, and simultaneously accounts for information across all sites in the genomic regions of interest. We also propose another LFDR-based algorithm that reliably prioritizes a given list of mutations called by any other variant-calling algorithm. We use a suite of gold-standard cell line data to compare our LFDR approach against a collection of widely used, state of the art programs. We find that our LFDR approach approximately matches or exceeds the performance of all of these programs, despite some very large differences among them. Furthermore, when prioritizing other algorithms' calls by our LFDR score, we find that by manipulating the type I-type II tradeoff we can select subsets of variant calls with minimal loss of sensitivity but dramatic increases in precision.
Collapse
Affiliation(s)
- Ali Karimnezhad
- Department of Mathematics and Statistics, University of Ottawa, Ottawa, K1N 9A7, Canada.
- Biostatistics and Risk Modelling Division, Bureau of Food Surveillance and Science Integration, Food Directorate, Health Products and Food Branch, Health Canada, Ottawa, K1A 0K9, Canada.
| | - Theodore J Perkins
- Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, K1H 8L6, Canada
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, K1H 8M5, Canada
| |
Collapse
|
25
|
Maierhofer A, Mehta N, Chisholm RA, Hutter S, Baer C, Nadarajah N, Pohlkamp C, Thompson ER, James PA, Kern W, Haferlach C, Meggendorfer M, Haferlach T, Blombery P. The clinical and genomic landscape of patients with DDX41 variants identified during diagnostic sequencing. Blood Adv 2023; 7:7346-7357. [PMID: 37874914 PMCID: PMC10701587 DOI: 10.1182/bloodadvances.2023011389] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/26/2023] [Accepted: 10/16/2023] [Indexed: 10/26/2023] Open
Abstract
Deleterious germ line variants in DDX41 are a common cause of genetic predisposition to hematologic malignancies, particularly myelodysplastic neoplasms (MDS) and acute myeloid leukemia (AML). Targeted next-generation sequencing was performed in a large cohort of sequentially recruited patients with myeloid malignancy, covering DDX41 as well as 30 other genes frequently mutated in myeloid malignancy. Whole genome transcriptome sequencing data was analyzed on a separate cohort of patients with a range of hematologic malignancies to investigate the spectrum of cancer predisposition. Altogether, 5737 patients with myeloid malignancies were studied, with 152 different DDX41 variants detected. Multiple novel variants were detected, including synonymous variants affecting splicing as demonstrated by RNA-sequencing. The presence of a somatic DDX41 variant was highly associated with DDX41 germ line variants in patients with MDS and AML, and we developed a statistical approach to incorporate the co-occurrence of a somatic DDX41 variant into germ line variant classification at a very strong level (as per the American College of Medical Genetics and Genomics/Association for Molecular Pathology guidelines). Using this approach, the MDS cohort contained 108 of 2865 (3.8%) patients with germ line likely pathogenic/pathogenic (LP/P) variants, and the AML cohort 106 of 2157 (4.9%). DDX41 LP/P variants were markedly enriched in patients with AML and MDS compared with those in patients with myeloproliferative neoplasms, B-cell neoplasm, and T- or B-cell acute lymphoblastic leukemia. In summary, we have developed a framework to enhance DDX41 variant curation as well as highlighted the importance of assessment of all types of genomic variants (including synonymous and multiexon deletions) to fully detect the landscape of possible clinically relevant DDX41 variants.
Collapse
Affiliation(s)
| | - Nikita Mehta
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ryan A. Chisholm
- Department of Biological Sciences, National University of Singapore, Singapore
| | | | | | | | | | - Ella R. Thompson
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
- Clinical Haematology, Peter MacCallum Cancer Centre, Royal Melbourne Hospital, Melbourne, Australia
| | - Paul A. James
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
| | | | | | | | | | - Piers Blombery
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
- Clinical Haematology, Peter MacCallum Cancer Centre, Royal Melbourne Hospital, Melbourne, Australia
- Torsten Haferlach Leukaemiediagnostik Stiftung, Munich, Germany
| |
Collapse
|
26
|
Hsu LA, Wu S, Teng MS, Ko YL. Causal links of α-thalassemia indices and cardiometabolic traits and diabetes: MR study. Life Sci Alliance 2023; 6:e202302204. [PMID: 37788909 PMCID: PMC10547910 DOI: 10.26508/lsa.202302204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 09/15/2023] [Accepted: 09/19/2023] [Indexed: 10/05/2023] Open
Abstract
Our study aimed to investigate if genetic variants around 16p13.3's HBA1 locus, associated with erythrocyte indices and HbA1c levels, predict α-thalassemia-related erythrocyte indices, cardiometabolic traits, and diabetes risk in Taiwanese individuals. We analyzed Taiwan Biobank data, including whole-genome sequencing from 1,493 participants and genotyping arrays from 129,542 individuals. First, we performed regional association analysis using whole-genome sequencing data to identify genetic variants significantly associated with erythrocyte indices, confirming their linkage disequilibrium with the α0 thalassemia --SEA deletion mutation, a common cause of α-thalassemia in Southeast Asian populations. Deletion mutation sequencing further validated these variants' association with α-thalassemia. Subsequently, we analyzed genotyping array data, revealing associations between specific genetic variants and cardiometabolic traits, including lipid profiles, HbA1c levels, bilirubin levels, and diabetes risk. Using Mendelian randomization, we established causal relationships between α-thalassemia-related erythrocyte indices and cardiometabolic traits, elucidating their role in diabetes susceptibility. Our findings highlight genetic variants around the α-globin genes as surrogate markers for common α-thalassemia mutations in Taiwan, emphasizing the causal links between α-thalassemia-related erythrocyte indices, cardiometabolic traits, and heightened diabetes risk.
Collapse
Affiliation(s)
- Lung-An Hsu
- The First Cardiovascular Division, Department of Internal Medicine, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Semon Wu
- Department of Life Science, Chinese Culture University, Taipei, Taiwan
| | - Ming-Sheng Teng
- Department of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan
| | - Yu-Lin Ko
- Department of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan
- The Division of Cardiology, Department of Internal Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan
- School of Medicine, Tzu Chi University, Hualien, Taiwan
| |
Collapse
|
27
|
Xiao S, Kai Z, Murphy D, Li D, Patel D, Bielowka AM, Bernabeu-Herrero ME, Abdulmogith A, Mumford AD, Westbury SK, Aldred MA, Vargesson N, Caulfield MJ, Shovlin CL. Functional filter for whole-genome sequencing data identifies HHT and stress-associated non-coding SMAD4 polyadenylation site variants >5 kb from coding DNA. Am J Hum Genet 2023; 110:1903-1918. [PMID: 37816352 PMCID: PMC10645545 DOI: 10.1016/j.ajhg.2023.09.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 09/01/2023] [Accepted: 09/08/2023] [Indexed: 10/12/2023] Open
Abstract
Despite whole-genome sequencing (WGS), many cases of single-gene disorders remain unsolved, impeding diagnosis and preventative care for people whose disease-causing variants escape detection. Since early WGS data analytic steps prioritize protein-coding sequences, to simultaneously prioritize variants in non-coding regions rich in transcribed and critical regulatory sequences, we developed GROFFFY, an analytic tool that integrates coordinates for regions with experimental evidence of functionality. Applied to WGS data from solved and unsolved hereditary hemorrhagic telangiectasia (HHT) recruits to the 100,000 Genomes Project, GROFFFY-based filtration reduced the mean number of variants/DNA from 4,867,167 to 21,486, without deleting disease-causal variants. In three unsolved cases (two related), GROFFFY identified ultra-rare deletions within the 3' untranslated region (UTR) of the tumor suppressor SMAD4, where germline loss-of-function alleles cause combined HHT and colonic polyposis (MIM: 175050). Sited >5.4 kb distal to coding DNA, the deletions did not modify or generate microRNA binding sites, but instead disrupted the sequence context of the final cleavage and polyadenylation site necessary for protein production: By iFoldRNA, an AAUAAA-adjacent 16-nucleotide deletion brought the cleavage site into inaccessible neighboring secondary structures, while a 4-nucleotide deletion unfolded the downstream RNA polymerase II roadblock. SMAD4 RNA expression differed to control-derived RNA from resting and cycloheximide-stressed peripheral blood mononuclear cells. Patterns predicted the mutational site for an unrelated HHT/polyposis-affected individual, where a complex insertion was subsequently identified. In conclusion, we describe a functional rare variant type that impacts regulatory systems based on RNA polyadenylation. Extension of coding sequence-focused gene panels is required to capture these variants.
Collapse
Affiliation(s)
- Sihao Xiao
- National Heart and Lung Institute, Imperial College London, W12 ONN London, UK; National Institute for Health Research (NIHR) Imperial Biomedical Research Centre, W2 1NY London, UK.
| | - Zhentian Kai
- Topgen Biopharm Technology Co. Ltd., Shanghai 201203, China
| | - Daniel Murphy
- National Institute for Health Research (NIHR) Imperial Biomedical Research Centre, W2 1NY London, UK; Women's, Children's & Clinical Support (Pharmacy), Imperial College Healthcare NHS Trust, W2 1NY London, UK
| | - Dongyang Li
- National Heart and Lung Institute, Imperial College London, W12 ONN London, UK; National Institute for Health Research (NIHR) Imperial Biomedical Research Centre, W2 1NY London, UK
| | - Dilip Patel
- National Heart and Lung Institute, Imperial College London, W12 ONN London, UK; National Institute for Health Research (NIHR) Imperial Biomedical Research Centre, W2 1NY London, UK
| | - Adrianna M Bielowka
- National Heart and Lung Institute, Imperial College London, W12 ONN London, UK; National Institute for Health Research (NIHR) Imperial Biomedical Research Centre, W2 1NY London, UK
| | - Maria E Bernabeu-Herrero
- National Heart and Lung Institute, Imperial College London, W12 ONN London, UK; National Institute for Health Research (NIHR) Imperial Biomedical Research Centre, W2 1NY London, UK
| | - Awatif Abdulmogith
- National Heart and Lung Institute, Imperial College London, W12 ONN London, UK; National Institute for Health Research (NIHR) Imperial Biomedical Research Centre, W2 1NY London, UK
| | - Andrew D Mumford
- School of Cellular and Molecular Medicine, University of Bristol, BS8 1QU Bristol, UK
| | - Sarah K Westbury
- School of Cellular and Molecular Medicine, University of Bristol, BS8 1QU Bristol, UK
| | - Micheala A Aldred
- Division of Pulmonary, Critical Care, Sleep & Occupational Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Neil Vargesson
- School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, AB25 2ZD Aberdeen, UK
| | - Mark J Caulfield
- William Harvey Research Institute, Queen Mary University of London, E1 4NS London, UK
| | - Claire L Shovlin
- National Heart and Lung Institute, Imperial College London, W12 ONN London, UK; National Institute for Health Research (NIHR) Imperial Biomedical Research Centre, W2 1NY London, UK; Specialist Medicine, Imperial College Healthcare NHS Trust, W12 OHS London, UK.
| |
Collapse
|
28
|
Aid M, Sciacca M, McMahan K, Hope D, Liu J, Jacob-Dolan C, Powers O, Barrett J, Wu C, Mutoni A, Murdza T, Richter H, Velasco J, Teow E, Boursiquot M, Cook A, Orekov T, Hamilton M, Pessaint L, Ryan A, Hayes T, Martinot AJ, Seaman MS, Lewis MG, Andersen H, Barouch DH. Mpox infection protects against re-challenge in rhesus macaques. Cell 2023; 186:4652-4661.e13. [PMID: 37734373 PMCID: PMC10591870 DOI: 10.1016/j.cell.2023.08.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 06/06/2023] [Accepted: 08/21/2023] [Indexed: 09/23/2023]
Abstract
The mpox outbreak of 2022-2023 involved rapid global spread in men who have sex with men. We infected 18 rhesus macaques with mpox by the intravenous, intradermal, and intrarectal routes and observed robust antibody and T cell responses following all three routes of infection. Numerous skin lesions and high plasma viral loads were observed following intravenous and intradermal infection. Skin lesions peaked on day 10 and resolved by day 28 following infection. On day 28, we re-challenged all convalescent and 3 naive animals with mpox. All convalescent animals were protected against re-challenge. Transcriptomic studies showed upregulation of innate and inflammatory responses and downregulation of collagen formation and extracellular matrix organization following challenge, as well as rapid activation of T cell and plasma cell responses following re-challenge. These data suggest key mechanistic insights into mpox pathogenesis and immunity. This macaque model should prove useful for evaluating mpox vaccines and therapeutics.
Collapse
Affiliation(s)
- Malika Aid
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Michaela Sciacca
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Katherine McMahan
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - David Hope
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Jinyan Liu
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Catherine Jacob-Dolan
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Olivia Powers
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Julia Barrett
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Cindy Wu
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Audrey Mutoni
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Tetyana Murdza
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Hannah Richter
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | | | | | | | | | | | | | | | - Alaina Ryan
- Tufts University Cummings School of Veterinary Medicine, North Grafton, MA 01536, USA
| | - Tammy Hayes
- Tufts University Cummings School of Veterinary Medicine, North Grafton, MA 01536, USA
| | - Amanda J Martinot
- Tufts University Cummings School of Veterinary Medicine, North Grafton, MA 01536, USA
| | - Michael S Seaman
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | | | | | - Dan H Barouch
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA.
| |
Collapse
|
29
|
Zhang B, Bassani-Sternberg M. Current perspectives on mass spectrometry-based immunopeptidomics: the computational angle to tumor antigen discovery. J Immunother Cancer 2023; 11:e007073. [PMID: 37899131 PMCID: PMC10619091 DOI: 10.1136/jitc-2023-007073] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/21/2023] [Indexed: 10/31/2023] Open
Abstract
Identification of tumor antigens presented by the human leucocyte antigen (HLA) molecules is essential for the design of effective and safe cancer immunotherapies that rely on T cell recognition and killing of tumor cells. Mass spectrometry (MS)-based immunopeptidomics enables high-throughput, direct identification of HLA-bound peptides from a variety of cell lines, tumor tissues, and healthy tissues. It involves immunoaffinity purification of HLA complexes followed by MS profiling of the extracted peptides using data-dependent acquisition, data-independent acquisition, or targeted approaches. By incorporating DNA, RNA, and ribosome sequencing data into immunopeptidomics data analysis, the proteogenomic approach provides a powerful means for identifying tumor antigens encoded within the canonical open reading frames of annotated coding genes and non-canonical tumor antigens derived from presumably non-coding regions of our genome. We discuss emerging computational challenges in immunopeptidomics data analysis and tumor antigen identification, highlighting key considerations in the proteogenomics-based approach, including accurate DNA, RNA and ribosomal sequencing data analysis, careful incorporation of predicted novel protein sequences into reference protein database, special quality control in MS data analysis due to the expanded and heterogeneous search space, cancer-specificity determination, and immunogenicity prediction. The advancements in technology and computation is continually enabling us to identify tumor antigens with higher sensitivity and accuracy, paving the way toward the development of more effective cancer immunotherapies.
Collapse
Affiliation(s)
- Bing Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Michal Bassani-Sternberg
- Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland
- Department of Oncology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
- Agora Cancer Research Centre, Lausanne, Switzerland
| |
Collapse
|
30
|
Wang X, Huang M, Budowle B, Ge J. TRcaller: a novel tool for precise and ultrafast tandem repeat variant genotyping in massively parallel sequencing reads. Front Genet 2023; 14:1227176. [PMID: 37533432 PMCID: PMC10390829 DOI: 10.3389/fgene.2023.1227176] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 06/13/2023] [Indexed: 08/04/2023] Open
Abstract
Calling tandem repeat (TR) variants from DNA sequences is of both theoretical and practical significance. Some bioinformatics tools have been developed for detecting or genotyping TRs. However, little study has been done to genotyping TR alleles from long-read sequencing data, and the accuracy of genotyping TR alleles from next-generation sequencing data still needs to be improved. Herein, a novel algorithm is described to retrieve TR regions from sequence alignment, and a software program TRcaller has been developed and integrated into a web portal to call TR alleles from both short- and long-read sequences, both whole genome and targeted sequences generated from multiple sequencing platforms. All TR alleles are genotyped as haplotypes and the robust alleles will be reported, even multiple alleles in a DNA mixture. TRcaller could provide substantially higher accuracy (>99% in 289 human individuals) in detecting TR alleles with magnitudes faster (e.g., ∼2 s for 300x human sequence data) than the mainstream software tools. The web portal preselected 119 TR loci from forensics, genealogy, and disease related TR loci. TRcaller is validated to be scalable in various applications, such as DNA forensics and disease diagnosis, which can be expanded into other fields like breeding programs. Availability: TRcaller is available at https://www.trcaller.com/SignIn.aspx.
Collapse
Affiliation(s)
- Xuewen Wang
- Center for Human Identification, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Meng Huang
- Center for Human Identification, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Bruce Budowle
- Center for Human Identification, University of North Texas Health Science Center, Fort Worth, TX, United States
- Department of Microbiology, Immunology, and Genetics, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Jianye Ge
- Center for Human Identification, University of North Texas Health Science Center, Fort Worth, TX, United States
- Department of Microbiology, Immunology, and Genetics, University of North Texas Health Science Center, Fort Worth, TX, United States
| |
Collapse
|
31
|
Santonja A, Cooper WN, Eldridge MD, Edwards PAW, Morris JA, Edwards AR, Zhao H, Heider K, Couturier D, Vijayaraghavan A, Mennea P, Ditter E, Smith CG, Boursnell C, Manzano García R, Rueda OM, Beddowes E, Biggs H, Sammut S, Rosenfeld N, Caldas C, Abraham JE, Gale D. Comparison of tumor-informed and tumor-naïve sequencing assays for ctDNA detection in breast cancer. EMBO Mol Med 2023; 15:e16505. [PMID: 37161793 PMCID: PMC10245040 DOI: 10.15252/emmm.202216505] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 04/05/2023] [Accepted: 04/06/2023] [Indexed: 05/11/2023] Open
Abstract
Analysis of circulating tumor DNA (ctDNA) to monitor cancer dynamics and detect minimal residual disease has been an area of increasing interest. Multiple methods have been proposed but few studies have compared the performance of different approaches. Here, we compare detection of ctDNA in serial plasma samples from patients with breast cancer using different tumor-informed and tumor-naïve assays designed to detect structural variants (SVs), single nucleotide variants (SNVs), and/or somatic copy-number aberrations, by multiplex PCR, hybrid capture, and different depths of whole-genome sequencing. Our results demonstrate that the ctDNA dynamics and allele fractions (AFs) were highly concordant when analyzing the same patient samples using different assays. Tumor-informed assays showed the highest sensitivity for detection of ctDNA at low concentrations. Hybrid capture sequencing targeting between 1,347 and 7,491 tumor-identified mutations at high depth was the most sensitive assay, detecting ctDNA down to an AF of 0.00024% (2.4 parts per million, ppm). Multiplex PCR targeting 21-47 tumor-identified SVs per patient detected ctDNA down to 0.00047% AF (4.7 ppm) and has potential as a clinical assay.
Collapse
Affiliation(s)
- Angela Santonja
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
| | - Wendy N Cooper
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
| | - Matthew D Eldridge
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
| | - Paul A W Edwards
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
- Department of PathologyUniversity of CambridgeCambridgeUK
| | - James A Morris
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
| | - Abigail R Edwards
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
| | - Hui Zhao
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
| | - Katrin Heider
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
| | - Dominique‐Laurent Couturier
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
- MRC Biostatistics UnitUniversity of CambridgeCambridgeUK
| | - Aadhitthya Vijayaraghavan
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
| | - Paulius Mennea
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
| | - Emma‐Jane Ditter
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
| | - Christopher G Smith
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
| | - Chris Boursnell
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
| | - Raquel Manzano García
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
| | - Oscar M Rueda
- MRC Biostatistics UnitUniversity of CambridgeCambridgeUK
| | - Emma Beddowes
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
| | - Heather Biggs
- Department of OncologyUniversity of CambridgeCambridgeUK
- Precision Breast Cancer Institute, Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's HospitalCambridgeUK
| | - Stephen‐John Sammut
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
- Department of OncologyUniversity of CambridgeCambridgeUK
| | - Nitzan Rosenfeld
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
| | - Carlos Caldas
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
- Department of OncologyUniversity of CambridgeCambridgeUK
- Precision Breast Cancer Institute, Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's HospitalCambridgeUK
| | - Jean E Abraham
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
- Department of OncologyUniversity of CambridgeCambridgeUK
- Precision Breast Cancer Institute, Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's HospitalCambridgeUK
| | - Davina Gale
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUK
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing CentreCambridgeUK
| |
Collapse
|
32
|
Bertholim-Nasciben L, Scliar MO, Debortoli G, Thiruvahindrapuram B, Scherer SW, Duarte YAO, Zatz M, Suarez-Kurtz G, Parra EJ, Naslavsky MS. Characterization of pharmacogenomic variants in a Brazilian admixed cohort of elderly individuals based on whole-genome sequencing data. Front Pharmacol 2023; 14:1178715. [PMID: 37234706 PMCID: PMC10206227 DOI: 10.3389/fphar.2023.1178715] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 04/10/2023] [Indexed: 05/28/2023] Open
Abstract
Introduction: Research in the field of pharmacogenomics (PGx) aims to identify genetic variants that modulate response to drugs, through alterations in their pharmacokinetics (PK) or pharmacodynamics (PD). The distribution of PGx variants differs considerably among populations, and whole-genome sequencing (WGS) plays a major role as a comprehensive approach to detect both common and rare variants. This study evaluated the frequency of PGx markers in the context of the Brazilian population, using data from a population-based admixed cohort from Sao Paulo, Brazil, which includes variants from WGS of 1,171 unrelated, elderly individuals. Methods: The Stargazer tool was used to call star alleles and structural variants (SVs) from 38 pharmacogenes. Clinically relevant variants were investigated, and the predicted drug response phenotype was analyzed in combination with the medication record to assess individuals potentially at high-risk of gene-drug interaction. Results: In total, 352 unique star alleles or haplotypes were observed, of which 255 and 199 had a frequency < 0.05 and < 0.01, respectively. For star alleles with frequency > 5% (n = 97), decreased, loss-of-function and unknown function accounted for 13.4%, 8.2% and 27.8% of alleles or haplotypes, respectively. Structural variants (SVs) were identified in 35 genes for at least one individual, and occurred with frequencies >5% for CYP2D6, CYP2A6, GSTM1, and UGT2B17. Overall 98.0% of the individuals carried at least one high risk genotype-predicted phenotype in pharmacogenes with PharmGKB level of evidence 1A for drug interaction. The Electronic Health Record (EHR) Priority Result Notation and the cohort medication registry were combined to assess high-risk gene-drug interactions. In general, 42.0% of the cohort used at least one PharmGKB evidence level 1A drug, and 18.9% of individuals who used PharmGKB evidence level 1A drugs had a genotype-predicted phenotype of high-risk gene-drug interaction. Conclusion: This study described the applicability of next-generation sequencing (NGS) techniques for translating PGx variants into clinically relevant phenotypes on a large scale in the Brazilian population and explores the feasibility of systematic adoption of PGx testing in Brazil.
Collapse
Affiliation(s)
- Luciana Bertholim-Nasciben
- School of Public Health, University of São Paulo, São Paulo, Brazil
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, Brazil
| | - Marilia O. Scliar
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, Brazil
| | - Guilherme Debortoli
- Department of Anthropology, University of Toronto at Mississauga, Mississauga, ON, Canada
| | | | - Stephen W. Scherer
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Molecular Genetics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Yeda A. O. Duarte
- Medical-Surgical Nursing Department, School of Nursing, University of São Paulo, São Paulo, Brazil
| | - Mayana Zatz
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, Brazil
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, Brazil
| | - Guilherme Suarez-Kurtz
- Divisão de Pesquisa Clínica e Desenvolvimento Tecnológico, Instituto Nacional de Câncer, Rio de Janeiro, Brazil
| | - Esteban J. Parra
- Department of Anthropology, University of Toronto at Mississauga, Mississauga, ON, Canada
| | - Michel S. Naslavsky
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, Brazil
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, Brazil
- Hospital Israelita Albert Einstein, São Paulo, Brazil
| |
Collapse
|
33
|
Birch RJ, Peckham D, Wood HM, Quirke P, Konstant-Hambling R, Brownlee K, Cosgriff R, Consortium GER, Burr N, Downing A. The risk of colorectal cancer in individuals with mutations of the cystic fibrosis transmembrane conductance regulator (CFTR) gene: An English population-based study. J Cyst Fibros 2023; 22:499-504. [PMID: 36253274 DOI: 10.1016/j.jcf.2022.10.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 06/21/2022] [Accepted: 10/03/2022] [Indexed: 06/10/2023]
Abstract
BACKGROUND Studies have demonstrated a higher risk of developing colorectal cancer (CRC) in individuals with Cystic Fibrosis (CF), and also a potentially increased risk in carriers of cystic fibrosis transmembrane conductance regulator (CFTR) mutations. Life expectancy for those with CF is rising, increasing the number at risk of developing CRC. METHODS The incidence of CRC amongst individuals with CF was calculated using data from CORECT-R and linked UK CF Registry and Secondary User Services (SUS) data. Crude, age-specific and age-standardised rates were compared to those without CF. The presence of CFTR mutations in individuals with CRC was assessed using 100,000 Genomes Project data. FINDINGS The crude incidence rate of CRC in the CF population was 0.29 per 1,000 person-years (28 cases). The CF population were significantly younger than those without (median age at CRC diagnosis 52 years versus 73 years; p<0·01). When age-adjusted, there was a 5-fold increased CRC incidence amongst individuals with CF compared to those without (SIR 5.0 95%CI 3.2-6.9). When compared to other population studies the overall prevalence of CFTR mutations in the CRC population was significantly higher than expected (p<0·01). INTERPRETATION CF is linked to an increased risk of CRC. The incidence of CFTR mutations in the CRC population is higher than would be expected, suggesting an association between CFTR function and CRC risk. Further research is needed to develop effective screening strategies for these populations. FUNDING Cancer Research UK (grants C23434/A23706 & C10674/A27140).
Collapse
Affiliation(s)
- Rebecca J Birch
- Leeds Institute of Medical Research at St James's, University of Leeds; Leeds Institute for Data Analytics, University of Leeds.
| | - Daniel Peckham
- Leeds Institute of Medical Research at St James's, University of Leeds; Leeds Teaching Hospitals NHS Trust
| | - Henry M Wood
- Leeds Institute of Medical Research at St James's, University of Leeds
| | - Philip Quirke
- Leeds Institute of Medical Research at St James's, University of Leeds
| | | | | | | | | | | | - Amy Downing
- Leeds Institute of Medical Research at St James's, University of Leeds; Leeds Institute for Data Analytics, University of Leeds
| |
Collapse
|
34
|
Zhou W, Karan KR, Gu W, Klein HU, Sturm G, De Jager PL, Bennett DA, Hirano M, Picard M, Mills RE. Somatic nuclear mitochondrial DNA insertions are prevalent in the human brain and accumulate over time in fibroblasts. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.03.527065. [PMID: 36778249 PMCID: PMC9915708 DOI: 10.1101/2023.02.03.527065] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The transfer of mitochondrial DNA into the nuclear genomes of eukaryotes (Numts) has been linked to lifespan in non-human species 1-3 and recently demonstrated to occur in rare instances from one human generation to the next 4. Here we investigated numtogenesis dynamics in humans in two ways. First, we quantified Numts in 1,187 post-mortem brain and blood samples from different individuals. Compared to circulating immune cells (n=389), post-mitotic brain tissue (n=798) contained more Numts, consistent with their potential somatic accumulation. Within brain samples we observed a 5.5-fold enrichment of somatic Numt insertions in the dorsolateral prefrontal cortex compared to cerebellum samples, suggesting that brain Numts arose spontaneously during development or across the lifespan. Moreover, more brain Numts was linked to earlier mortality. The brains of individuals with no cognitive impairment who died at younger ages carried approximately 2 more Numts per decade of life lost than those who lived longer. Second, we tested the dynamic transfer of Numts using a repeated-measures WGS design in a human fibroblast model that recapitulates several molecular hallmarks of aging 5. These longitudinal experiments revealed a gradual accumulation of one Numt every ~13 days. Numtogenesis was independent of large-scale genomic instability and unlikely driven cell clonality. Targeted pharmacological perturbations including chronic glucocorticoid signaling or impairing mitochondrial oxidative phosphorylation (OxPhos) only modestly increased the rate of numtogenesis, whereas patient-derived SURF1-mutant cells exhibiting mtDNA instability accumulated Numts 4.7-fold faster than healthy donors. Combined, our data document spontaneous numtogenesis in human cells and demonstrate an association between brain cortical somatic Numts and human lifespan. These findings open the possibility that mito-nuclear horizontal gene transfer among human post-mitotic tissues produce functionally-relevant human Numts over timescales shorter than previously assumed.
Collapse
Affiliation(s)
- Weichen Zhou
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Kalpita R. Karan
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
| | - Wenjin Gu
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Hans-Ulrich Klein
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY 10032 USA
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY 10032 USA
| | - Gabriel Sturm
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Philip L. De Jager
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY 10032 USA
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY 10032 USA
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612 USA
| | - Michio Hirano
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY 10032 USA
| | - Martin Picard
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
- Department of Neurology, H. Houston Merritt Center, Columbia University Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, USA
- New York State Psychiatric Institute, New York, USA
| | - Ryan E Mills
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| |
Collapse
|
35
|
Teng MS, Yeh KH, Hsu LA, Chou HH, Er LK, Wu S, Ko YL. Differential Effects of ABCG5/G8 Gene Region Variants on Lipid Profile, Blood Pressure Status, and Gallstone Disease History in Taiwan. Genes (Basel) 2023; 14:genes14030754. [PMID: 36981027 PMCID: PMC10047937 DOI: 10.3390/genes14030754] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 03/15/2023] [Accepted: 03/16/2023] [Indexed: 03/30/2023] Open
Abstract
ABCG5 and ABCG8 are two key adenosine triphosphate-binding cassette (ABC) proteins that regulate whole-body sterol trafficking. This study aimed to elucidate the association between ABCG5/G8 gene region variants and lipid profile, cardiometabolic traits, and gallstone disease history in Taiwan. A total of 1494 Taiwan Biobank participants with whole-genome sequencing data and 117,679 participants with Axiom Genome-Wide CHB Array data were enrolled for analysis. Using genotype-phenotype and stepwise linear regression analyses, we found independent associations of four Asian-specific ABCG5 variants, rs119480069, rs199984328, rs560839317, and rs748096191, with total, low-density lipoprotein (LDL), and non-high-density lipoprotein (HDL) cholesterol levels (all p ≤ 0.0002). Four other variants, which were in nearly complete linkage disequilibrium, exhibited genome-wide significant associations with gallstone disease history, and the ABCG8 rs11887534 variant showed a trend of superiority for gallstone disease history in a nested logistic regression model (p = 0.074). Through regional association analysis of various other cardiometabolic traits, two variants of the PLEKHH2, approximately 50 kb from the ABCG5/G8 region, exhibited significant associations with blood pressure status (p < 10-6). In conclusion, differential effects of ABCG5/G8 region variants were noted for lipid profile, blood pressure status, and gallstone disease history in Taiwan. These results indicate the crucial role of individualized assessment of ABCG5/G8 variants for different cardiometabolic phenotypes.
Collapse
Affiliation(s)
- Ming-Sheng Teng
- Department of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan
| | - Kuan-Hung Yeh
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan
- School of Medicine, Tzu Chi University, Hualien 97004, Taiwan
| | - Lung-An Hsu
- The First Cardiovascular Division, Department of Internal Medicine, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taoyuan 33305, Taiwan
| | - Hsin-Hua Chou
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan
- School of Medicine, Tzu Chi University, Hualien 97004, Taiwan
| | - Leay-Kiaw Er
- School of Medicine, Tzu Chi University, Hualien 97004, Taiwan
- The Division of Endocrinology and Metabolism, Department of Internal Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan
| | - Semon Wu
- Department of Life Science, Chinese Culture University, Taipei 11114, Taiwan
| | - Yu-Lin Ko
- Department of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan
- School of Medicine, Tzu Chi University, Hualien 97004, Taiwan
| |
Collapse
|
36
|
Sakuma M, Blombery P, Meggendorfer M, Haferlach C, Lindauer M, Martens UM, Kern W, Haferlach T, Walter W. Novel causative variants of VEXAS in UBA1 detected through whole genome transcriptome sequencing in a large cohort of hematological malignancies. Leukemia 2023; 37:1080-1091. [PMID: 36823397 PMCID: PMC10169658 DOI: 10.1038/s41375-023-01857-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 02/13/2023] [Accepted: 02/15/2023] [Indexed: 02/25/2023]
Abstract
UBA1 is an X-linked gene and encodes an ubiquitin-activating enzyme. Three somatic mutations altering the alternative start codon (M41) in UBA1 in hematopoietic precursor cells have recently been described, resulting in a syndrome of severe inflammation, cytopenias, and the presence of intracellular vacuoles in hematopoietic precursors - termed VEXAS syndrome, a predominantly male disease. Here we present a patient with clinical features of VEXAS who harbored two novel somatic variants in UBA1 (I894S and N606I). To better understand the clinical relevance and biological consequences of non-M41 (UBA1non-M41) variants, we analyzed the whole genome and transcriptome data of 4168 patients with hematological malignancies and detected an additional 16 UBA1non-M41 putative somatic variants with a clear sex-bias in patients with myeloid malignancies. Patients diagnosed with myeloid malignancies carrying UBA1non-M41 putative somatic variants either had vacuoles or immunodysregulatory symptoms. Analysis of the transcriptome confirmed neutrophil activation in VEXAS patients compared to healthy controls but did not result in a specific transcriptomic signature of UBA1M41 patients in comparison with MDS patients. In summary, we have described multiple putative novel UBA1non-M41 variants in patients with various hematological malignancies expanding the genomic spectrum of VEXAS syndrome.
Collapse
Affiliation(s)
- Maki Sakuma
- MLL Munich Leukemia Laboratory, Munich, Germany.,Medical Graduate Center, Technical University Munich, Munich, Germany
| | - Piers Blombery
- Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | | | | | - Markus Lindauer
- Department for Hematology and Oncology, SLK-Clinics Heilbronn, Heilbronn, Germany
| | - Uwe M Martens
- Department for Hematology and Oncology, SLK-Clinics Heilbronn, Heilbronn, Germany
| | | | | | | |
Collapse
|
37
|
Escape from X-inactivation in twins exhibits intra- and inter-individual variability across tissues and is heritable. PLoS Genet 2023; 19:e1010556. [PMID: 36802379 PMCID: PMC9942974 DOI: 10.1371/journal.pgen.1010556] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 12/06/2022] [Indexed: 02/23/2023] Open
Abstract
X-chromosome inactivation (XCI) silences one X in female cells to balance sex-differences in X-dosage. A subset of X-linked genes escape XCI, but the extent to which this phenomenon occurs and how it varies across tissues and in a population is as yet unclear. To characterize incidence and variability of escape across individuals and tissues, we conducted a transcriptomic study of escape in adipose, skin, lymphoblastoid cell lines and immune cells in 248 healthy individuals exhibiting skewed XCI. We quantify XCI escape from a linear model of genes' allelic fold-change and XIST-based degree of XCI skewing. We identify 62 genes, including 19 lncRNAs, with previously unknown patterns of escape. We find a range of tissue-specificity, with 11% of genes escaping XCI constitutively across tissues and 23% demonstrating tissue-restricted escape, including cell type-specific escape across immune cells of the same individual. We also detect substantial inter-individual variability in escape. Monozygotic twins share more similar escape than dizygotic twins, indicating that genetic factors may underlie inter-individual differences in escape. However, discordant escape also occurs within monozygotic co-twins, suggesting environmental factors also influence escape. Altogether, these data indicate that XCI escape is an under-appreciated source of transcriptional differences, and an intricate phenotype impacting variable trait expressivity in females.
Collapse
|
38
|
Ballinger ML, Pattnaik S, Mundra PA, Zaheed M, Rath E, Priestley P, Baber J, Ray-Coquard I, Isambert N, Causeret S, van der Graaf WTA, Puri A, Duffaud F, Le Cesne A, Seddon B, Chandrasekar C, Schiffman JD, Brohl AS, James PA, Kurtz JE, Penel N, Myklebost O, Meza-Zepeda LA, Pickett H, Kansara M, Waddell N, Kondrashova O, Pearson JV, Barbour AP, Li S, Nguyen TL, Fatkin D, Graham RM, Giannoulatou E, Green MJ, Kaplan W, Ravishankar S, Copty J, Powell JE, Cuppen E, van Eijk K, Veldink J, Ahn JH, Kim JE, Randall RL, Tucker K, Judson I, Sarin R, Ludwig T, Genin E, Deleuze JF, Haber M, Marshall G, Cairns MJ, Blay JY, Thomas DM, Tattersall M, Neuhaus S, Lewis C, Tucker K, Carey-Smith R, Wood D, Porceddu S, Dickinson I, Thorne H, James P, Ray-Coquard I, Blay JY, Cassier P, Le Cesne A, Duffaud F, Penel N, Isambert N, Kurtz JE, Puri A, Sarin R, Ahn JH, Kim JE, Ward I, Judson I, van der Graaf W, Seddon B, Chandrasekar C, Rickar R, Hennig I, Schiffman J, Randall RL, Silvestri A, Zaratzian A, Tayao M, Walwyn K, Niedermayr E, Mang D, Clark R, Thorpe T, MacDonald J, Riddell K, Mar J, Fennelly V, Wicht A, et alBallinger ML, Pattnaik S, Mundra PA, Zaheed M, Rath E, Priestley P, Baber J, Ray-Coquard I, Isambert N, Causeret S, van der Graaf WTA, Puri A, Duffaud F, Le Cesne A, Seddon B, Chandrasekar C, Schiffman JD, Brohl AS, James PA, Kurtz JE, Penel N, Myklebost O, Meza-Zepeda LA, Pickett H, Kansara M, Waddell N, Kondrashova O, Pearson JV, Barbour AP, Li S, Nguyen TL, Fatkin D, Graham RM, Giannoulatou E, Green MJ, Kaplan W, Ravishankar S, Copty J, Powell JE, Cuppen E, van Eijk K, Veldink J, Ahn JH, Kim JE, Randall RL, Tucker K, Judson I, Sarin R, Ludwig T, Genin E, Deleuze JF, Haber M, Marshall G, Cairns MJ, Blay JY, Thomas DM, Tattersall M, Neuhaus S, Lewis C, Tucker K, Carey-Smith R, Wood D, Porceddu S, Dickinson I, Thorne H, James P, Ray-Coquard I, Blay JY, Cassier P, Le Cesne A, Duffaud F, Penel N, Isambert N, Kurtz JE, Puri A, Sarin R, Ahn JH, Kim JE, Ward I, Judson I, van der Graaf W, Seddon B, Chandrasekar C, Rickar R, Hennig I, Schiffman J, Randall RL, Silvestri A, Zaratzian A, Tayao M, Walwyn K, Niedermayr E, Mang D, Clark R, Thorpe T, MacDonald J, Riddell K, Mar J, Fennelly V, Wicht A, Zielony B, Galligan E, Glavich G, Stoeckert J, Williams L, Djandjgava L, Buettner I, Osinki C, Stephens S, Rogasik M, Bouclier L, Girodet M, Charreton A, Fayet Y, Crasto S, Sandupatla B, Yoon Y, Je N, Thompson L, Fowler T, Johnson B, Petrikova G, Hambridge T, Hutchins A, Bottero D, Scanlon D, Stokes-Denson J, Génin E, Campion D, Dartigues JF, Deleuze JF, Lambert JC, Redon R, Ludwig T, Grenier-Boley B, Letort S, Lindenbaum P, Meyer V, Quenez O, Dina C, Bellenguez C, Le Clézio CC, Giemza J, Chatel S, Férec C, Le Marec H, Letenneur L, Nicolas G, Rouault K. Heritable defects in telomere and mitotic function selectively predispose to sarcomas. Science 2023; 379:253-260. [PMID: 36656928 DOI: 10.1126/science.abj4784] [Show More Authors] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 11/16/2022] [Indexed: 01/20/2023]
Abstract
Cancer genetics has to date focused on epithelial malignancies, identifying multiple histotype-specific pathways underlying cancer susceptibility. Sarcomas are rare malignancies predominantly derived from embryonic mesoderm. To identify pathways specific to mesenchymal cancers, we performed whole-genome germline sequencing on 1644 sporadic cases and 3205 matched healthy elderly controls. Using an extreme phenotype design, a combined rare-variant burden and ontologic analysis identified two sarcoma-specific pathways involved in mitotic and telomere functions. Variants in centrosome genes are linked to malignant peripheral nerve sheath and gastrointestinal stromal tumors, whereas heritable defects in the shelterin complex link susceptibility to sarcoma, melanoma, and thyroid cancers. These studies indicate a specific role for heritable defects in mitotic and telomere biology in risk of sarcomas.
Collapse
Affiliation(s)
- Mandy L Ballinger
- Garvan Institute of Medical Research, Sydney 2010, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
| | - Swetansu Pattnaik
- Garvan Institute of Medical Research, Sydney 2010, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
| | - Piyushkumar A Mundra
- Garvan Institute of Medical Research, Sydney 2010, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
| | - Milita Zaheed
- Hereditary Cancer Centre, Prince of Wales Hospital, Sydney 2031, Australia
| | - Emma Rath
- Garvan Institute of Medical Research, Sydney 2010, Australia
| | - Peter Priestley
- Hartwig Medical Foundation, 1098 XH Amsterdam, Netherlands
- Hartwig Medical Foundation Australia, Sydney 2000, Australia
| | - Jonathan Baber
- Hartwig Medical Foundation, 1098 XH Amsterdam, Netherlands
- Hartwig Medical Foundation Australia, Sydney 2000, Australia
| | - Isabelle Ray-Coquard
- Department of Adult Medical Oncology, Centre Leon Berard, University Claude Bernard, 69373 Lyon, France
| | | | | | | | - Ajay Puri
- Department of Orthopedic Oncology, Tata Memorial Hospital, Mumbai, Maharashtra 400012, India
| | | | | | - Beatrice Seddon
- Sarcoma Unit, University College Hospital, London NW1 2BU, UK
| | | | - Joshua D Schiffman
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Andrew S Brohl
- Sarcoma Department, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Paul A James
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne 3010, Australia
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne 3000, Australia
| | | | | | - Ola Myklebost
- Western Norway Familial Cancer Centre, Haukeland University Hospital, 5021 Bergen, Norway
- Department of Clinical Science, University of Bergen, 5007 Bergen, Norway
- Institute for Cancer Research, Oslo University Hospital, N-0424 Oslo, Norway
| | | | - Hilda Pickett
- Children's Medical Research Institute, The University of Sydney, Westmead 2145, Australia
| | - Maya Kansara
- Garvan Institute of Medical Research, Sydney 2010, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
| | - Nicola Waddell
- QIMR Berghofer Medical Research Institute, Brisbane 4006, Australia
| | - Olga Kondrashova
- QIMR Berghofer Medical Research Institute, Brisbane 4006, Australia
| | - John V Pearson
- QIMR Berghofer Medical Research Institute, Brisbane 4006, Australia
| | - Andrew P Barbour
- Faculty of Medicine. The University of Queensland, Brisbane 4072, Australia
| | - Shuai Li
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne 3010, Australia
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton 3800, Australia
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville 3051, Australia
| | - Tuong L Nguyen
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne 3010, Australia
| | - Diane Fatkin
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
- Molecular Cardiology Division, Victor Chang Cardiac Research Institute, Darlinghurst 2010, Australia
- Cardiology Department, St Vincent's Hospital, Sydney 2010, Australia
| | - Robert M Graham
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
- Molecular Cardiology Division, Victor Chang Cardiac Research Institute, Darlinghurst 2010, Australia
| | - Eleni Giannoulatou
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
- Computational Genomics Division, Victor Chang Cardiac Research Institute, Sydney 2010, Australia
| | - Melissa J Green
- School of Psychiatry, University of New South Wales, Sydney 2052, Australia
- Neuorscience Research Australia, Sydney 2031, Australia
| | - Warren Kaplan
- Garvan Institute of Medical Research, Sydney 2010, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
| | | | - Joseph Copty
- Garvan Institute of Medical Research, Sydney 2010, Australia
| | - Joseph E Powell
- Garvan Institute of Medical Research, Sydney 2010, Australia
- UNSW Cellular Genomics Futures Institute, University of New South Wales, Sydney 2052, Australia
| | - Edwin Cuppen
- Hartwig Medical Foundation, 1098 XH Amsterdam, Netherlands
| | - Kristel van Eijk
- Department of Neurology, University Medical Centre Utrecht Brain Center, Utrecht University, 3584 CX Utrecht, Netherlands
| | - Jan Veldink
- Department of Neurology, University Medical Centre Utrecht Brain Center, Utrecht University, 3584 CX Utrecht, Netherlands
| | - Jin-Hee Ahn
- Department of Oncology, Asan Medical Centre, Seoul 05505, South Korea
| | - Jeong Eun Kim
- Department of Oncology, Asan Medical Centre, Seoul 05505, South Korea
| | - R Lor Randall
- Department of Orthopaedic Surgery, University of California, Davis Health, Sacramento, CA 95817, USA
| | - Kathy Tucker
- Hereditary Cancer Centre, Prince of Wales Hospital, Sydney 2031, Australia
| | - Ian Judson
- Sarcoma Unit, The Royal Marsden NHS Foundation Trust, London SW3 6JJ, UK
| | - Rajiv Sarin
- Cancer Genetics Unit, ACTREC, Tata Memorial Centre, Mumbai, Maharashtra 410210, India
| | - Thomas Ludwig
- Université de Brest, Inserm, EFS, UMR 1078, GGB, CHU de Brest, 29200 Brest, France
| | - Emmanuelle Genin
- Université de Brest, Inserm, EFS, UMR 1078, GGB, CHU de Brest, 29200 Brest, France
| | - Jean-Francois Deleuze
- Centre National de Recherche en Génomique Humaine, Institut de Génomique, 91057 Evry, France
| | - Michelle Haber
- Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Kensington 2033, Australia
| | - Glenn Marshall
- Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Kensington 2033, Australia
- Kids Cancer Centre, Sydney Children's Hospital, Randwick 2031, Australia
| | - Murray J Cairns
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan 2308, Australia
- Centre for Brain and Mental Health Research, The Hunter Medical Research Institute, Newcastle 2305, Australia
| | - Jean-Yves Blay
- Department of Adult Medical Oncology, Centre Leon Berard, University Claude Bernard, 69373 Lyon, France
| | - David M Thomas
- Garvan Institute of Medical Research, Sydney 2010, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
39
|
Mehta PR, Iacoangeli A, Opie-Martin S, van Vugt JJFA, Al Khleifat A, Bredin A, Ossher L, Andersen PM, Hardiman O, Mehta AR, Fratta P, Talbot K, Al-Chalabi A. The impact of age on genetic testing decisions in amyotrophic lateral sclerosis. Brain 2022; 145:4440-4447. [PMID: 36162820 PMCID: PMC9762932 DOI: 10.1093/brain/awac279] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 06/30/2022] [Accepted: 07/14/2022] [Indexed: 02/01/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a heterogeneous neurodegenerative syndrome. In up to 20% of cases, a family history is observed. Although Mendelian disease gene variants are found in apparently sporadic ALS, genetic testing is usually restricted to those with a family history or younger patients with sporadic disease. With the advent of therapies targeting genetic ALS, it is important that everyone treatable is identified. We therefore sought to determine the probability of a clinically actionable ALS genetic test result by age of onset, globally, but using the UK as an exemplar. Blood-derived DNA was sequenced for ALS genes, and the probability of a clinically actionable genetic test result estimated. For a UK subset, age- and sex-specific population incidence rates were used to determine the number of such results missed by restricting testing by age of onset according to UK's National Genomic Test Directory criteria. There were 6274 people with sporadic ALS, 1551 from the UK. The proportion with a clinically actionable genetic test result ranged between 0.21 [95% confidence interval (CI) 0.18-0.25] in the youngest age group to 0.15 (95% CI 0.13-0.17) in the oldest age group for a full gene panel. For the UK, the equivalent proportions were 0.23 (95% CI 0.13-0.33) in the youngest age group to 0.17 (95% CI 0.13-0.21) in the oldest age group. By limiting testing in those without a family history to people with onset below 40 years, 115 of 117 (98% of all, 95% CI 96%-101%) clinically actionable test results were missed. There is a significant probability of a clinically actionable genetic test result in people with apparently sporadic ALS at all ages. Although some countries limit testing by age, doing so results in a significant number of missed pathogenic test results. Age of onset and family history should not be a barrier to genetic testing in ALS.
Collapse
Affiliation(s)
- Puja R Mehta
- Correspondence may also be addressed to: Dr Puja R. Mehta UCL Queen Square Motor Neuron Disease Centre Department of Neuromuscular diseases UCL Queen Square Institute of Neurology London, WC1N 3BG, UK E-mail:
| | | | - Sarah Opie-Martin
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE5 9RX, UK
| | - Joke J F A van Vugt
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, 3584 CG, The Netherlands
| | - Ahmad Al Khleifat
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE5 9RX, UK
| | - Andrea Bredin
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE5 9RX, UK
| | - Lynn Ossher
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
| | - Peter M Andersen
- Department of Clinical Science, Neurosciences, Umeå University, Umeå, SE-901 87, Sweden
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity College Dublin, Trinity Biomedical Sciences Institute, Dublin, D02 R590, Republic of Ireland
| | - Arpan R Mehta
- Department of Neurology, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 9DU, UK
- Euan MacDonald Centre for MND Research, University of Edinburgh, Edinburgh, EH16 4SB, UK
| | - Pietro Fratta
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Kevin Talbot
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
| | | | - Ammar Al-Chalabi
- Correspondence to: Professor Ammar Al-Chalabi Department of Basic and Clinical Neuroscience Maurice Wohl Clinical Neuroscience Institute King’s College London London SE5 9RX, UK E-mail:
| |
Collapse
|
40
|
Al Khleifat A, Iacoangeli A, Jones AR, van Vugt JJFA, Moisse M, Shatunov A, Zwamborn RAJ, van der Spek RAA, Cooper-Knock J, Topp S, van Rheenen W, Kenna B, Van Eijk KR, Kenna K, Byrne R, López V, Opie-Martin S, Vural A, Campos Y, Weber M, Smith B, Fogh I, Silani V, Morrison KE, Dobson R, van Es MA, McLaughlin RL, Vourc’h P, Chio A, Corcia P, de Carvalho M, Gotkine M, Panades MP, Mora JS, Shaw PJ, Landers JE, Glass JD, Shaw CE, Basak N, Hardiman O, Robberecht W, Van Damme P, van den Berg LH, Veldink JH, Al-Chalabi A. Telomere length analysis in amyotrophic lateral sclerosis using large-scale whole genome sequence data. Front Cell Neurosci 2022; 16:1050596. [PMID: 36589292 PMCID: PMC9799999 DOI: 10.3389/fncel.2022.1050596] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 11/15/2022] [Indexed: 12/23/2022] Open
Abstract
Background Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by the loss of upper and lower motor neurons, leading to progressive weakness of voluntary muscles, with death following from neuromuscular respiratory failure, typically within 3 to 5 years. There is a strong genetic contribution to ALS risk. In 10% or more, a family history of ALS or frontotemporal dementia is obtained, and the Mendelian genes responsible for ALS in such families have now been identified in about 50% of cases. Only about 14% of apparently sporadic ALS is explained by known genetic variation, suggesting that other forms of genetic variation are important. Telomeres maintain DNA integrity during cellular replication, differ between sexes, and shorten naturally with age. Sex and age are risk factors for ALS and we therefore investigated telomere length in ALS. Methods Samples were from Project MinE, an international ALS whole genome sequencing consortium that includes phenotype data. For validation we used donated brain samples from motor cortex from people with ALS and controls. Ancestry and relatedness were evaluated by principal components analysis and relationship matrices of DNA microarray data. Whole genome sequence data were from Illumina HiSeq platforms and aligned using the Isaac pipeline. TelSeq was used to quantify telomere length using whole genome sequence data. We tested the association of telomere length with ALS and ALS survival using Cox regression. Results There were 6,580 whole genome sequences, reducing to 6,195 samples (4,315 from people with ALS and 1,880 controls) after quality control, and 159 brain samples (106 ALS, 53 controls). Accounting for age and sex, there was a 20% (95% CI 14%, 25%) increase of telomere length in people with ALS compared to controls (p = 1.1 × 10-12), validated in the brain samples (p = 0.03). Those with shorter telomeres had a 10% increase in median survival (p = 5.0×10-7). Although there was no difference in telomere length between sporadic ALS and familial ALS (p=0.64), telomere length in 334 people with ALS due to expanded C9orf72 repeats was shorter than in those without expanded C9orf72 repeats (p = 5.0×10-4). Discussion Although telomeres shorten with age, longer telomeres are a risk factor for ALS and worsen prognosis. Longer telomeres are associated with ALS.
Collapse
Affiliation(s)
- Ahmad Al Khleifat
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King’s College London, London, United Kingdom
| | - Alfredo Iacoangeli
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King’s College London, London, United Kingdom
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Ashley R. Jones
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King’s College London, London, United Kingdom
| | - Joke J. F. A. van Vugt
- Department of Neurology, University Medical Center (UMC) Utrecht Brain Center, Utrecht University, Utrecht, Netherlands
| | - Matthieu Moisse
- Department of Neurosciences, Experimental Neurology, KU Leuven—University of Leuven, Leuven, Belgium
- VIB Center for Brain & Disease Research, Laboratory of Neurobiology, Leuven, Belgium
| | - Aleksey Shatunov
- Institute of Medicine, North-Eastern Federal University, Yakutsk, Russia
- Department of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, United Kingdom
| | - Ramona A. J. Zwamborn
- Department of Neurology, University Medical Center (UMC) Utrecht Brain Center, Utrecht University, Utrecht, Netherlands
| | - Rick A. A. van der Spek
- Department of Neurology, University Medical Center (UMC) Utrecht Brain Center, Utrecht University, Utrecht, Netherlands
| | - Johnathan Cooper-Knock
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
| | - Simon Topp
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King’s College London, London, United Kingdom
| | - Wouter van Rheenen
- Department of Neurology, University Medical Center (UMC) Utrecht Brain Center, Utrecht University, Utrecht, Netherlands
| | - Brendan Kenna
- Department of Neurology, University Medical Center (UMC) Utrecht Brain Center, Utrecht University, Utrecht, Netherlands
| | - Kristel R. Van Eijk
- Department of Neurology, University Medical Center (UMC) Utrecht Brain Center, Utrecht University, Utrecht, Netherlands
| | - Kevin Kenna
- Department of Neurology, University Medical Center (UMC) Utrecht Brain Center, Utrecht University, Utrecht, Netherlands
| | - Ross Byrne
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Victoria López
- Computational Biology Unit, Instituto de Salud Carlos III, Madrid, Spain
| | - Sarah Opie-Martin
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King’s College London, London, United Kingdom
| | - Atay Vural
- School of Medicine, Translational Medicine Research Center-NDAL, Koc University, Istanbul, Turkey
| | - Yolanda Campos
- Computational Biology Unit, Instituto de Salud Carlos III, Madrid, Spain
| | - Markus Weber
- School of Medicine, Translational Medicine Research Center-NDAL, Koc University, Istanbul, Turkey
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Bradley Smith
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King’s College London, London, United Kingdom
| | - Isabella Fogh
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King’s College London, London, United Kingdom
| | - Vincenzo Silani
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
- Department of Pathophysiology and Transplantation, “Dino Ferrari” Center, Università degli Studi di Milano, Milan, Italy
| | - Karen E. Morrison
- Faculty of Medicine, Health and Life Sciences, Queen’s University Belfast, Belfast, United Kingdom
| | - Richard Dobson
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- Institute of Health Informatics, University College London, London, United Kingdom
| | - Michael A. van Es
- Department of Neurology, University Medical Center (UMC) Utrecht Brain Center, Utrecht University, Utrecht, Netherlands
| | - Russell L. McLaughlin
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | | | - Adriano Chio
- Department of Neuroscience, ALS Centre, University of Torino, Turin, Italy
- Azienda Ospedaliera Citta della Salute e della Scienza, Turin, Italy
| | - Philippe Corcia
- Centre SLA, CHRU de Tours, Tours, France
- Federation des Centres SLA Tours and Limoges, LITORALS, Tours, France
| | - Mamede de Carvalho
- Physiology Institute, Faculty of Medicine, Instituto de Medicina Molecular, University of Lisbon, Lisbon, Portugal
| | - Marc Gotkine
- Department of Neurology, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | | | | | - Pamela J. Shaw
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
| | - John E. Landers
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, United States
| | - Jonathan D. Glass
- Department of Neurology, Center for Neurodegenerative Diseases, Emory University, Atlanta, GA, United States
| | - Christopher E. Shaw
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King’s College London, London, United Kingdom
- King’s College Hospital, London, United Kingdom
| | - Nazli Basak
- School of Medicine, Translational Medicine Research Center-NDAL, Koc University, Istanbul, Turkey
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
- Department of Neurology, Beaumont Hospital, Dublin, Ireland
| | - Wim Robberecht
- Department of Neurosciences, Experimental Neurology, KU Leuven—University of Leuven, Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Philip Van Damme
- Department of Neurosciences, Experimental Neurology, KU Leuven—University of Leuven, Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Leonard H. van den Berg
- Department of Neurology, University Medical Center (UMC) Utrecht Brain Center, Utrecht University, Utrecht, Netherlands
| | - Jan H. Veldink
- Department of Neurology, University Medical Center (UMC) Utrecht Brain Center, Utrecht University, Utrecht, Netherlands
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King’s College London, London, United Kingdom
- King’s College Hospital, London, United Kingdom
| |
Collapse
|
41
|
Pleiotropic Effects of APOB Variants on Lipid Profiles, Metabolic Syndrome, and the Risk of Diabetes Mellitus. Int J Mol Sci 2022; 23:ijms232314963. [PMID: 36499290 PMCID: PMC9735756 DOI: 10.3390/ijms232314963] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 11/18/2022] [Accepted: 11/23/2022] [Indexed: 12/03/2022] Open
Abstract
Apolipoprotein B (ApoB) plays a crucial role in lipid and lipoprotein metabolism. The effects of APOB locus variants on lipid profiles, metabolic syndrome, and the risk of diabetes mellitus (DM) in Asian populations are unclear. We included 1478 Taiwan Biobank participants with whole-genome sequence (WGS) data and 115,088 TWB participants with Axiom genome-wide CHB array data and subjected them to genotype-phenotype analyses using APOB locus variants. Five APOB nonsynonymous mutations, including Asian-specific rs144467873 and rs13306194 variants, were selected from participants with the WGS data. Using a combination of regional association studies, a linkage disequilibrium map, and multivariate analysis, we revealed that the APOB locus variants rs144467873, rs13306194, and rs1367117 were independently associated with total, low-density lipoprotein (LDL), and non-high-density lipoprotein (non-HDL) cholesterol levels; rs1318006 was associated with HDL cholesterol levels; rs13306194 and rs35131127 were associated with serum triglyceride levels; rs144467873, rs13306194, rs56213756, and rs679899 were associated with remnant cholesterol levels; and rs144467873 and rs4665709 were associated with metabolic syndrome. Mendelian randomization (MR) analyses conducted using weighted genetic risk scores from three or two LDL-cholesterol-level-associated APOB variants revealed significant association with prevalent DM (p = 0.0029 and 8.2 × 10-5, respectively), which became insignificant after adjustment for LDL-C levels. In conclusion, these results indicate that common and rare APOB variants are independently associated with various lipid levels and metabolic syndrome in Taiwanese individuals. MR analyses supported APOB variants associated with the risk of DM through their associations with LDL cholesterol levels.
Collapse
|
42
|
Kanchan K, Shankar G, Huffaker MF, Bahnson HT, Chinthrajah RS, Sanda S, Manohar M, Ling H, Paschall JE, Toit GD, Ruczinski I, Togias A, Lack G, Nadeau KC, Jones SM, Nepom GT, Mathias RA. HLA-associated outcomes in peanut oral immunotherapy trials identify mechanistic and clinical determinants of therapeutic success. Front Immunol 2022; 13:941839. [PMID: 36466872 PMCID: PMC9717393 DOI: 10.3389/fimmu.2022.941839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 09/06/2022] [Indexed: 11/19/2022] Open
Abstract
Rationale Previous studies identified an interaction between HLA and oral peanut exposure. HLA-DQA1*01:02 had a protective role with the induction of Ara h 2 epitope-specific IgG4 associated with peanut consumption during the LEAP clinical trial for prevention of peanut allergy, while it was a risk allele for peanut allergy in the peanut avoidance group. We have now evaluated this gene-environment interaction in two subsequent peanut oral immunotherapy (OIT) trials - IMPACT and POISED - to better understand the potential for the HLA-DQA1*01:02 allele as an indicator of higher likelihood of desensitization, sustained unresponsiveness, and peanut allergy remission. Methods We determined HLA-DQA1*01:02 carrier status using genome sequencing from POISED (N=118, age: 7-55yr) and IMPACT (N=126, age: 12-<48mo). We tested for association with remission, sustained unresponsiveness (SU), and desensitization in the OIT groups, as well as peanut component specific IgG4 (psIgG4) using generalized linear models and adjusting for relevant covariates and ancestry. Results While not quite statistically significant, a higher proportion of HLA-DQA1*01:02 carriers receiving OIT in IMPACT were desensitized (93%) compared to non-carriers (78%); odds ratio (OR)=5.74 (p=0.06). In this sample we also observed that a higher proportion of carriers achieved remission (35%) compared to non-carriers (22%); OR=1.26 (p=0.80). In POISED, carriers more frequently attained continued desensitization (80% versus 61% among non-carriers; OR=1.28, p=0.86) and achieved SU (52% versus 31%; OR=2.32, p=0.19). psIgG4 associations with HLA-DQA1*01:02 in the OIT arm of IMPACT which included younger study subjects recapitulated patterns noted in LEAP, but no associations of note were observed in the older POISED study subjects. Conclusions Findings across three clinical trials show a pattern of a gene environment interaction between HLA and oral peanut exposure. Age, and prior sensitization contribute additional determinants of outcomes, consistent with a mechanism of restricted antigen recognition fundamental to driving protective immune responses to OIT.
Collapse
Affiliation(s)
- Kanika Kanchan
- Division of Allergy and Clinical Immunology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Gautam Shankar
- Division of Allergy and Clinical Immunology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | | | - Henry T. Bahnson
- The Immune Tolerance Network, Seattle, WA, United States,Benaroya Research Institute at Virginia Mason, Seattle, WA, United States
| | - R Sharon Chinthrajah
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Palo Alto, CA, United States
| | - Srinath Sanda
- The Immune Tolerance Network, San Francisco, CA, United States
| | - Monali Manohar
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Palo Alto, CA, United States
| | - Hua Ling
- Institute of Genetic Medicine, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Justin E. Paschall
- Institute of Genetic Medicine, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - George Du Toit
- The Department of Pediatric Allergy, Division of Asthma, Allergy and Lung Biology, King’s College London, and Guy’s and St Thomas’ National Health Service (NHS) Foundation Trust, London, United Kingdom
| | - Ingo Ruczinski
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Alkis Togias
- Division of Allergy, Immunology, and Transplantation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, United States
| | - Gideon Lack
- The Department of Pediatric Allergy, Division of Asthma, Allergy and Lung Biology, King’s College London, and Guy’s and St Thomas’ National Health Service (NHS) Foundation Trust, London, United Kingdom
| | - Kari C. Nadeau
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Palo Alto, CA, United States
| | - Stacie M. Jones
- Department of Pediatrics, University of Arkansas for Medical Sciences and Arkansas Children’s Hospital, Little Rock, AR, United States
| | - Gerald T. Nepom
- The Immune Tolerance Network, Seattle, WA, United States,Benaroya Research Institute at Virginia Mason, Seattle, WA, United States
| | - Rasika A. Mathias
- Division of Allergy and Clinical Immunology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, United States,*Correspondence: Rasika Mathias,
| |
Collapse
|
43
|
Proteogenomic analysis of lung adenocarcinoma reveals tumor heterogeneity, survival determinants, and therapeutically relevant pathways. Cell Rep Med 2022; 3:100819. [PMID: 36384096 PMCID: PMC9729884 DOI: 10.1016/j.xcrm.2022.100819] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 05/09/2022] [Accepted: 10/18/2022] [Indexed: 11/17/2022]
Abstract
We present a deep proteogenomic profiling study of 87 lung adenocarcinoma (LUAD) tumors from the United States, integrating whole-genome sequencing, transcriptome sequencing, proteomics and phosphoproteomics by mass spectrometry, and reverse-phase protein arrays. We identify three subtypes from somatic genome signature analysis, including a transition-high subtype enriched with never smokers, a transversion-high subtype enriched with current smokers, and a structurally altered subtype enriched with former smokers, TP53 alterations, and genome-wide structural alterations. We show that within-tumor correlations of RNA and protein expression associate with tumor purity and immune cell profiles. We detect and independently validate expression signatures of RNA and protein that predict patient survival. Additionally, among co-measured genes, we found that protein expression is more often associated with patient survival than RNA. Finally, integrative analysis characterizes three expression subtypes with divergent mutations, proteomic regulatory networks, and therapeutic vulnerabilities. This proteogenomic characterization provides a foundation for molecularly informed medicine in LUAD.
Collapse
|
44
|
Van de Sompele S, Small KW, Cicekdal MB, Soriano VL, D'haene E, Shaya FS, Agemy S, Van der Snickt T, Rey AD, Rosseel T, Van Heetvelde M, Vergult S, Balikova I, Bergen AA, Boon CJF, De Zaeytijd J, Inglehearn CF, Kousal B, Leroy BP, Rivolta C, Vaclavik V, van den Ende J, van Schooneveld MJ, Gómez-Skarmeta JL, Tena JJ, Martinez-Morales JR, Liskova P, Vleminckx K, De Baere E. Multi-omics approach dissects cis-regulatory mechanisms underlying North Carolina macular dystrophy, a retinal enhanceropathy. Am J Hum Genet 2022; 109:2029-2048. [PMID: 36243009 PMCID: PMC9674966 DOI: 10.1016/j.ajhg.2022.09.013] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 09/28/2022] [Indexed: 01/26/2023] Open
Abstract
North Carolina macular dystrophy (NCMD) is a rare autosomal-dominant disease affecting macular development. The disease is caused by non-coding single-nucleotide variants (SNVs) in two hotspot regions near PRDM13 and by duplications in two distinct chromosomal loci, overlapping DNase I hypersensitive sites near either PRDM13 or IRX1. To unravel the mechanisms by which these variants cause disease, we first established a genome-wide multi-omics retinal database, RegRet. Integration of UMI-4C profiles we generated on adult human retina then allowed fine-mapping of the interactions of the PRDM13 and IRX1 promoters and the identification of eighteen candidate cis-regulatory elements (cCREs), the activity of which was investigated by luciferase and Xenopus enhancer assays. Next, luciferase assays showed that the non-coding SNVs located in the two hotspot regions of PRDM13 affect cCRE activity, including two NCMD-associated non-coding SNVs that we identified herein. Interestingly, the cCRE containing one of these SNVs was shown to interact with the PRDM13 promoter, demonstrated in vivo activity in Xenopus, and is active at the developmental stage when progenitor cells of the central retina exit mitosis, suggesting that this region is a PRDM13 enhancer. Finally, mining of single-cell transcriptional data of embryonic and adult retina revealed the highest expression of PRDM13 and IRX1 when amacrine cells start to synapse with retinal ganglion cells, supporting the hypothesis that altered PRDM13 or IRX1 expression impairs interactions between these cells during retinogenesis. Overall, this study provides insight into the cis-regulatory mechanisms of NCMD and supports that this condition is a retinal enhanceropathy.
Collapse
Affiliation(s)
- Stijn Van de Sompele
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium; Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Kent W Small
- Macula and Retina Institute, Los Angeles and Glendale, California, USA
| | - Munevver Burcu Cicekdal
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium; Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium; Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Víctor López Soriano
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium; Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Eva D'haene
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium; Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Fadi S Shaya
- Macula and Retina Institute, Los Angeles and Glendale, California, USA
| | - Steven Agemy
- Department of Ophthalmology, SUNY Downstate Medical Center University, Brooklyn, New York, USA
| | - Thijs Van der Snickt
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium; Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Alfredo Dueñas Rey
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium; Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Toon Rosseel
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium; Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Mattias Van Heetvelde
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium; Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Sarah Vergult
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium; Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Irina Balikova
- Department of Ophthalmology, University Hospitals Leuven, Leuven, Belgium
| | - Arthur A Bergen
- Department of Human Genetics, Amsterdam UMC, Academic Medical Center, 1105 AZ Amsterdam, The Netherlands; Queen Emma Centre of Precision Medicine, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Camiel J F Boon
- Department of Ophthalmology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands; Department of Ophthalmology, Leiden University Medical Center, Leiden, The Netherlands
| | - Julie De Zaeytijd
- Department of Ophthalmology, Ghent University Hospital, Ghent, Belgium
| | - Chris F Inglehearn
- Division of Molecular Medicine, Leeds Institute of Medical Research, University of Leeds, Leeds, UK
| | - Bohdan Kousal
- Department of Ophthalmology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Bart P Leroy
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium; Department of Ophthalmology, Ghent University Hospital, Ghent, Belgium; Department of Head & Skin, Ghent University, Ghent, Belgium; Division of Ophthalmology & Center for Cellular & Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Carlo Rivolta
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland; Department of Ophthalmology, University of Basel, Basel, Switzerland; Department of Genetics and Genome Biology, University of Leicester, Leicester, UK
| | - Veronika Vaclavik
- University of Lausanne, Jules-Gonin Eye Hospital, Lausanne, Switzerland
| | | | - Mary J van Schooneveld
- Department of Ophthalmology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands; Bartiméus, Diagnostic Center for Complex Visual Disorders, Zeist, The Netherlands
| | - José Luis Gómez-Skarmeta
- Centro Andaluz de Biología del Desarrollo, Consejo Superior de Investigaciones Científicas and Universidad Pablo de Olavide, Sevilla, Spain
| | - Juan J Tena
- Centro Andaluz de Biología del Desarrollo, Consejo Superior de Investigaciones Científicas and Universidad Pablo de Olavide, Sevilla, Spain
| | - Juan R Martinez-Morales
- Centro Andaluz de Biología del Desarrollo, Consejo Superior de Investigaciones Científicas and Universidad Pablo de Olavide, Sevilla, Spain
| | - Petra Liskova
- Department of Ophthalmology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic; Department of Paediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Kris Vleminckx
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium; Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Elfride De Baere
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium; Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium.
| |
Collapse
|
45
|
Wei W, Schon KR, Elgar G, Orioli A, Tanguy M, Giess A, Tischkowitz M, Caulfield MJ, Chinnery PF. Nuclear-embedded mitochondrial DNA sequences in 66,083 human genomes. Nature 2022; 611:105-114. [PMID: 36198798 PMCID: PMC9630118 DOI: 10.1038/s41586-022-05288-7] [Citation(s) in RCA: 101] [Impact Index Per Article: 33.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 08/29/2022] [Indexed: 02/02/2023]
Abstract
DNA transfer from cytoplasmic organelles to the cell nucleus is a legacy of the endosymbiotic event-the majority of nuclear-mitochondrial segments (NUMTs) are thought to be ancient, preceding human speciation1-3. Here we analyse whole-genome sequences from 66,083 people-including 12,509 people with cancer-and demonstrate the ongoing transfer of mitochondrial DNA into the nucleus, contributing to a complex NUMT landscape. More than 99% of individuals had at least one of 1,637 different NUMTs, with 1 in 8 individuals having an ultra-rare NUMT that is present in less than 0.1% of the population. More than 90% of the extant NUMTs that we evaluated inserted into the nuclear genome after humans diverged from apes. Once embedded, the sequences were no longer under the evolutionary constraint seen within the mitochondrion, and NUMT-specific mutations had a different mutational signature to mitochondrial DNA. De novo NUMTs were observed in the germline once in every 104 births and once in every 103 cancers. NUMTs preferentially involved non-coding mitochondrial DNA, linking transcription and replication to their origin, with nuclear insertion involving multiple mechanisms including double-strand break repair associated with PR domain zinc-finger protein 9 (PRDM9) binding. The frequency of tumour-specific NUMTs differed between cancers, including a probably causal insertion in a myxoid liposarcoma. We found evidence of selection against NUMTs on the basis of size and genomic location, shaping a highly heterogenous and dynamic human NUMT landscape.
Collapse
Affiliation(s)
- Wei Wei
- Department of Clinical Neuroscience, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Medical Research Council Mitochondrial Biology Unit, University of Cambridge, Cambridge, UK
| | - Katherine R Schon
- Department of Clinical Neuroscience, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Medical Research Council Mitochondrial Biology Unit, University of Cambridge, Cambridge, UK
- Academic Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | | | | | | | | | - Marc Tischkowitz
- Academic Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Mark J Caulfield
- William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Patrick F Chinnery
- Department of Clinical Neuroscience, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
- Medical Research Council Mitochondrial Biology Unit, University of Cambridge, Cambridge, UK.
| |
Collapse
|
46
|
Tielbeek JJ, Uffelmann E, Williams BS, Colodro-Conde L, Gagnon É, Mallard TT, Levitt BE, Jansen PR, Johansson A, Sallis HM, Pistis G, Saunders GRB, Allegrini AG, Rimfeld K, Konte B, Klein M, Hartmann AM, Salvatore JE, Nolte IM, Demontis D, Malmberg ALK, Burt SA, Savage JE, Sugden K, Poulton R, Harris KM, Vrieze S, McGue M, Iacono WG, Mota NR, Mill J, Viana JF, Mitchell BL, Morosoli JJ, Andlauer TFM, Ouellet-Morin I, Tremblay RE, Côté SM, Gouin JP, Brendgen MR, Dionne G, Vitaro F, Lupton MK, Martin NG, Castelao E, Räikkönen K, Eriksson JG, Lahti J, Hartman CA, Oldehinkel AJ, Snieder H, Liu H, Preisig M, Whipp A, Vuoksimaa E, Lu Y, Jern P, Rujescu D, Giegling I, Palviainen T, Kaprio J, Harden KP, Munafò MR, Morneau-Vaillancourt G, Plomin R, Viding E, Boutwell BB, Aliev F, Dick DM, Popma A, Faraone SV, Børglum AD, Medland SE, Franke B, Boivin M, Pingault JB, Glennon JC, Barnes JC, Fisher SE, Moffitt TE, Caspi A, Polderman TJC, Posthuma D. Uncovering the genetic architecture of broad antisocial behavior through a genome-wide association study meta-analysis. Mol Psychiatry 2022; 27:4453-4463. [PMID: 36284158 PMCID: PMC10902879 DOI: 10.1038/s41380-022-01793-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 08/03/2022] [Accepted: 09/09/2022] [Indexed: 01/14/2023]
Abstract
Despite the substantial heritability of antisocial behavior (ASB), specific genetic variants robustly associated with the trait have not been identified. The present study by the Broad Antisocial Behavior Consortium (BroadABC) meta-analyzed data from 28 discovery samples (N = 85,359) and five independent replication samples (N = 8058) with genotypic data and broad measures of ASB. We identified the first significant genetic associations with broad ASB, involving common intronic variants in the forkhead box protein P2 (FOXP2) gene (lead SNP rs12536335, p = 6.32 × 10-10). Furthermore, we observed intronic variation in Foxp2 and one of its targets (Cntnap2) distinguishing a mouse model of pathological aggression (BALB/cJ strain) from controls (BALB/cByJ strain). Polygenic risk score (PRS) analyses in independent samples revealed that the genetic risk for ASB was associated with several antisocial outcomes across the lifespan, including diagnosis of conduct disorder, official criminal convictions, and trajectories of antisocial development. We found substantial genetic correlations of ASB with mental health (depression rg = 0.63, insomnia rg = 0.47), physical health (overweight rg = 0.19, waist-to-hip ratio rg = 0.32), smoking (rg = 0.54), cognitive ability (intelligence rg = -0.40), educational attainment (years of schooling rg = -0.46) and reproductive traits (age at first birth rg = -0.58, father's age at death rg = -0.54). Our findings provide a starting point toward identifying critical biosocial risk mechanisms for the development of ASB.
Collapse
Affiliation(s)
- Jorim J Tielbeek
- Center for Neurogenomics and Cognitive Research, Department of Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands.
| | - Emil Uffelmann
- Center for Neurogenomics and Cognitive Research, Department of Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands
| | - Benjamin S Williams
- Department of Psychology and Neuroscience, Trinity College of Arts and Sciences, Duke University, 2020 West Main Street, Durham, NC, 27705, USA
| | - Lucía Colodro-Conde
- Psychiatric Genetics, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD, 4006, Australia
| | - Éloi Gagnon
- Research Unit on Children's Psychosocial Maladjustment, École de psychologie, Université Laval, 2523 Allée des Bibliothèques, Quebec City, QC, G1V 0A6, Canada
| | - Travis T Mallard
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Brandt E Levitt
- Carolina Population Center, University of North Carolina at Chapel Hill, 123 Franklin St, Chapel Hill, NC, 27516, USA
| | - Philip R Jansen
- Center for Neurogenomics and Cognitive Research, Department of Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands
| | - Ada Johansson
- Department of Psychology, Faculty of Arts, Psychology, and Theology, Åbo Akademi University, Tuomiokirkontori 3, FI-20500, Turku, Finland
| | - Hannah M Sallis
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield Road, Bristol, BS8 2BN, UK
| | - Giorgio Pistis
- Center for Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Route de Cery 25, CH-1008, Prilly, Vaud, Switzerland
| | - Gretchen R B Saunders
- Department of Psychology, University of Minnesota, 75 E. River Road, Minneapolis, MN, 55455, USA
| | - Andrea G Allegrini
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, DeCrespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Kaili Rimfeld
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, DeCrespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Bettina Konte
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Marieke Klein
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Geert Groteplein 10, 6500 HB, Nijmegen, The Netherlands
| | - Annette M Hartmann
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Jessica E Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
| | - Ditte Demontis
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, 8000, Aarhus C, Aarhus, Denmark
| | - Anni L K Malmberg
- Department of Psychology and Logopedics, University of Helsinki, Haartmaninkatu 3, 00014, Helsinki, Finland
| | | | - Jeanne E Savage
- Center for Neurogenomics and Cognitive Research, Department of Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands
| | - Karen Sugden
- Department of Psychology and Neuroscience, Trinity College of Arts and Sciences, Duke University, 2020 West Main Street, Durham, NC, 27705, USA
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, Dunedin, New Zealand
| | - Kathleen Mullan Harris
- Department of Sociology, University of North Carolina at Chapel Hill, CB# 3210, 201 Hamilton Hall, Chapel Hill, NC, 27599, USA
| | - Scott Vrieze
- Department of Psychology, University of Minnesota, 75 E. River Road, Minneapolis, MN, 55455, USA
| | - Matt McGue
- Department of Psychology, University of Minnesota, 75 E. River Road, Minneapolis, MN, 55455, USA
| | - William G Iacono
- Department of Psychology, University of Minnesota, 75 E. River Road, Minneapolis, MN, 55455, USA
| | - Nina Roth Mota
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Geert Groteplein 10, 6500 HB, Nijmegen, The Netherlands
| | - Jonathan Mill
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Joana F Viana
- The Institute of Metabolism and Systems Research (IMSR), University of Birmingham, Edgbaston, Birmingham, UK
| | - Brittany L Mitchell
- Genetic Epidemiology, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD, 4006, Australia
| | - Jose J Morosoli
- Psychiatric Genetics, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD, 4006, Australia
| | - Till F M Andlauer
- Department of Neurology, Technical University of Munich, 22 Ismaninger St., 81675, Munich, Germany
| | - Isabelle Ouellet-Morin
- Research Unit on Children's Psychosocial Maladjustment, École de criminologie, Université of Montreal, 3150 Rue Jean-Brillant, Montreal, QC, H3T 1N8, Canada
| | - Richard E Tremblay
- Research Unit on Children's Psychosocial Maladjustment, Département de pédiatrie et de psychologie, University of Montreal, 90 Avenue Vincent d'Indy, Montreal, QC, H2V 2S9, Canada
| | - Sylvana M Côté
- Research Unit on Children's Psychosocial Maladjustment, CHU Ste-Justine Research Center and Department of Social and Preventive Medicine, University of Montreal, 3175 Chemin de la Côte Ste-Catherine, Montreal, QC, H3T 1C5, Canada
| | - Jean-Philippe Gouin
- Department of Psychology, Concordia University, 7141 Sherbrooke St. West, Montreal, QC, H4B 1R6, Canada
| | - Mara R Brendgen
- Research Unit on Children's Psychosocial Maladjustment, Département de psychologie, Université du Québec à Montréal, CP 8888 succursale Centre-ville, Montreal, QC, H3C 3P8, Canada
| | - Ginette Dionne
- Research Unit on Children's Psychosocial Maladjustment, École de psychologie, Université Laval, 2523 Allée des Bibliothèques, Quebec City, QC, G1V 0A6, Canada
| | - Frank Vitaro
- Research Unit on Children's Psychosocial Maladjustment, CHU Sainte-Justine Research Center and University of Montreal, 3175 Chemin de la Côte Ste-Catherine, Montreal, QC, H3T 1C5, Canada
| | - Michelle K Lupton
- Genetic Epidemiology, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD, 4006, Australia
| | - Nicholas G Martin
- Genetic Epidemiology, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD, 4006, Australia
| | - Enrique Castelao
- Center for Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Route de Cery 25, CH-1008, Prilly, Vaud, Switzerland
| | - Katri Räikkönen
- Department of Psychology and Logopedics, University of Helsinki, Haartmaninkatu 3, 00014, Helsinki, Finland
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki, Tukholmankatu 8 B, Helsinki, Finland
| | - Jari Lahti
- Department of Psychology and Logopedics, University of Helsinki, Haartmaninkatu 3, 00014, Helsinki, Finland
| | - Catharina A Hartman
- Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
| | - Albertine J Oldehinkel
- Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
| | - Hexuan Liu
- School of Criminal Justice, University of Cincinnati, 2840 Bearcat Way, Cincinnati, OH, 45221, USA
| | - Martin Preisig
- Center for Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Route de Cery 25, CH-1008, Prilly, Vaud, Switzerland
| | - Alyce Whipp
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, PO Box 4, (Yliopistonkatu 3), 00014, Helsinki, Finland
| | - Eero Vuoksimaa
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, PO Box 4, (Yliopistonkatu 3), 00014, Helsinki, Finland
| | - Yi Lu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels Väg 12A, 171 77, Stockholm, Sweden
| | - Patrick Jern
- Department of Psychology, Faculty of Arts, Psychology, and Theology, Åbo Akademi University, Tuomiokirkontori 3, FI-20500, Turku, Finland
| | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Ina Giegling
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, PO Box 4, (Yliopistonkatu 3), 00014, Helsinki, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, PO Box 4, (Yliopistonkatu 3), 00014, Helsinki, Finland
| | - Kathryn Paige Harden
- Department of Psychology and Population Research Center, University of Texas at Austin, 108 E Dean Keeton Stop #A8000, Austin, TX, 78712, USA
| | - Marcus R Munafò
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield Road, Bristol, BS8 2BN, UK
| | - Geneviève Morneau-Vaillancourt
- Research Unit on Children's Psychosocial Maladjustment, École de psychologie, Université Laval, 2523 Allée des Bibliothèques, Quebec City, QC, G1V 0A6, Canada
| | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, DeCrespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Essi Viding
- Division of Psychology and Language Sciences, University College London, London, UK
| | - Brian B Boutwell
- School of Applied Sciences, University of Mississippi, John D. Bower School of Population Health, University of Mississippi Medical Center, 84 Dormitory Row West, University, MS, 38677, USA
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University, Box 842018, 806W Franklin St, Richmond, VA, 23284, USA
| | - Danielle M Dick
- Department of Psychology, Virginia Commonwealth University, Box 842018, 806W Franklin St, Richmond, VA, 23284, USA
| | - Arne Popma
- Amsterdam UMC, VKC Psyche, Child and Adolescent Psychiatry & Psychosocial Care, Amsterdam, The Netherlands
| | - Stephen V Faraone
- Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Anders D Børglum
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, 8000, Aarhus C, Aarhus, Denmark
| | - Sarah E Medland
- Psychiatric Genetics, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD, 4006, Australia
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaivour, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Michel Boivin
- Research Unit on Children's Psychosocial Maladjustment, École de psychologie, Université Laval, 2523 Allée des Bibliothèques, Quebec City, QC, G1V 0A6, Canada
| | - Jean-Baptiste Pingault
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Jeffrey C Glennon
- Conway Institute of Biomolecular and Biomedical Sciences, School of Medicine, University College Dublin, Dublin, Ireland
| | - J C Barnes
- School of Criminal Justice, University of Cincinnati, 2840 Bearcat Way, Cincinnati, OH, 45221, USA
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Wundtlaan 1, 6525 XD, Nijmegen, The Netherlands
| | - Terrie E Moffitt
- Department of Psychology and Neuroscience, Trinity College of Arts and Sciences, Duke University, 2020 West Main Street, Durham, NC, 27705, USA
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Trinity College of Arts and Sciences, Duke University, 2020 West Main Street, Durham, NC, 27705, USA
| | - Tinca J C Polderman
- Amsterdam UMC, VKC Psyche, Child and Adolescent Psychiatry & Psychosocial Care, Amsterdam, The Netherlands
| | - Danielle Posthuma
- Center for Neurogenomics and Cognitive Research, Department of Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands
| |
Collapse
|
47
|
Genome-wide rare variant score associates with morphological subtypes of autism spectrum disorder. Nat Commun 2022; 13:6463. [PMID: 36309498 PMCID: PMC9617891 DOI: 10.1038/s41467-022-34112-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 10/13/2022] [Indexed: 02/06/2023] Open
Abstract
Defining different genetic subtypes of autism spectrum disorder (ASD) can enable the prediction of developmental outcomes. Based on minor physical and major congenital anomalies, we categorize 325 Canadian children with ASD into dysmorphic and nondysmorphic subgroups. We develop a method for calculating a patient-level, genome-wide rare variant score (GRVS) from whole-genome sequencing (WGS) data. GRVS is a sum of the number of variants in morphology-associated coding and non-coding regions, weighted by their effect sizes. Probands with dysmorphic ASD have a significantly higher GRVS compared to those with nondysmorphic ASD (P = 0.03). Using the polygenic transmission disequilibrium test, we observe an over-transmission of ASD-associated common variants in nondysmorphic ASD probands (P = 2.9 × 10-3). These findings replicate using WGS data from 442 ASD probands with accompanying morphology data from the Simons Simplex Collection. Our results provide support for an alternative genomic classification of ASD subgroups using morphology data, which may inform intervention protocols.
Collapse
|
48
|
Li M, Zhong A, Wu Y, Sidharta M, Beaury M, Zhao X, Studer L, Zhou T. Transient inhibition of p53 enhances prime editing and cytosine base-editing efficiencies in human pluripotent stem cells. Nat Commun 2022; 13:6354. [PMID: 36302757 PMCID: PMC9613702 DOI: 10.1038/s41467-022-34045-7] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 10/11/2022] [Indexed: 12/25/2022] Open
Abstract
Precise gene editing in human pluripotent stem cells (hPSCs) holds great promise for studying and potentially treating human diseases. Both prime editing and base editing avoid introducing double strand breaks, but low editing efficiencies make those techniques still an arduous process in hPSCs. Here we report that co-delivering of p53DD, a dominant negative fragment of p53, can greatly enhance prime editing and cytosine base editing efficiencies in generating precise mutations in hPSCs. We further apply PE3 in combination with p53DD to efficiently create multiple isogenic hPSC lines, including lines carrying GBA or LRRK2 mutations associated with Parkinson disease and a LMNA mutation linked to Hutchinson-Gilford progeria syndrome. We also correct GBA and LMNA mutations in the patient-specific iPSCs. Our data show that p53DD improves PE3 efficiency without compromising the genome-wide safety, making it feasible for safe and routine generation of isogenic hPSC lines for disease modeling.
Collapse
Affiliation(s)
- Mu Li
- grid.51462.340000 0001 2171 9952The SKI Stem Cell Research Facility, The Center for Stem Cell Biology and Developmental Biology Program, Sloan-Kettering Institute for Cancer Research, 1275 York Avenue, New York, NY 10065 USA
| | - Aaron Zhong
- grid.51462.340000 0001 2171 9952The SKI Stem Cell Research Facility, The Center for Stem Cell Biology and Developmental Biology Program, Sloan-Kettering Institute for Cancer Research, 1275 York Avenue, New York, NY 10065 USA
| | - Youjun Wu
- grid.51462.340000 0001 2171 9952The SKI Stem Cell Research Facility, The Center for Stem Cell Biology and Developmental Biology Program, Sloan-Kettering Institute for Cancer Research, 1275 York Avenue, New York, NY 10065 USA
| | - Mega Sidharta
- grid.51462.340000 0001 2171 9952The SKI Stem Cell Research Facility, The Center for Stem Cell Biology and Developmental Biology Program, Sloan-Kettering Institute for Cancer Research, 1275 York Avenue, New York, NY 10065 USA
| | - Michael Beaury
- grid.51462.340000 0001 2171 9952The SKI Stem Cell Research Facility, The Center for Stem Cell Biology and Developmental Biology Program, Sloan-Kettering Institute for Cancer Research, 1275 York Avenue, New York, NY 10065 USA
| | - Xiaolan Zhao
- grid.51462.340000 0001 2171 9952Molecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065 USA
| | - Lorenz Studer
- grid.51462.340000 0001 2171 9952The Center for Stem Cell Biology and Developmental Biology Program, Sloan-Kettering Institute for Cancer Research, 1275 York Avenue, New York, NY 10065 USA
| | - Ting Zhou
- grid.51462.340000 0001 2171 9952The SKI Stem Cell Research Facility, The Center for Stem Cell Biology and Developmental Biology Program, Sloan-Kettering Institute for Cancer Research, 1275 York Avenue, New York, NY 10065 USA
| |
Collapse
|
49
|
Deng N, Minoche A, Harvey K, Li M, Winkler J, Goga A, Swarbrick A. Deep whole genome sequencing identifies recurrent genomic alterations in commonly used breast cancer cell lines and patient-derived xenograft models. Breast Cancer Res 2022; 24:63. [PMID: 36153537 PMCID: PMC9509640 DOI: 10.1186/s13058-022-01540-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 06/26/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Breast cancer cell lines (BCCLs) and patient-derived xenografts (PDXs) are the most frequently used models in breast cancer research. Despite their widespread usage, genome sequencing of these models is incomplete, with previous studies only focusing on targeted gene panels, whole exome or shallow whole genome sequencing. Deep whole genome sequencing is the most sensitive and accurate method to detect single nucleotide variants and indels, gene copy number and structural events such as gene fusions. RESULTS Here we describe deep whole genome sequencing (WGS) of commonly used BCCL and PDX models using the Illumina X10 platform with an average ~ 60 × coverage. We identify novel genomic alterations, including point mutations and genomic rearrangements at base-pair resolution, compared to previously available sequencing data. Through integrative analysis with publicly available functional screening data, we annotate new genomic features likely to be of biological significance. CSMD1, previously identified as a tumor suppressor gene in various cancer types, including head and neck, lung and breast cancers, has been identified with deletion in 50% of our PDX models, suggesting an important role in aggressive breast cancers. CONCLUSIONS Our WGS data provides a comprehensive genome sequencing resource of these models.
Collapse
Affiliation(s)
- Niantao Deng
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia
| | - Andre Minoche
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, Australia
| | - Kate Harvey
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, Australia
| | - Meng Li
- Department of Cell and Tissue Biology, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Juliane Winkler
- Department of Cell and Tissue Biology, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Andrei Goga
- Department of Cell and Tissue Biology, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Alex Swarbrick
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, Australia.
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
| |
Collapse
|
50
|
Taha I, Foroni S, Valli R, Frattini A, Roccia P, Porta G, Zecca M, Bergami E, Cipolli M, Pasquali F, Danesino C, Scotti C, Minelli A. Case Report: Heterozygous Germline Variant in EIF6 Additional to Biallelic SBDS Pathogenic Variants in a Patient With Ribosomopathy Shwachman–Diamond Syndrome. Front Genet 2022; 13:896749. [PMID: 36035165 PMCID: PMC9411639 DOI: 10.3389/fgene.2022.896749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 06/23/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Shwachman–Diamond syndrome (SDS) is a rare autosomal recessive ribosomopathy mainly characterized by exocrine pancreatic insufficiency, skeletal alterations, neutropenia, and a relevant risk of hematological transformation. At least 90% of SDS patients have pathogenic variants in SBDS, the first gene associated with the disease with very low allelic heterogeneity; three variants, derived from events of genetic conversion between SBDS and its pseudogene, SBDSP1, provided the alleles observed in about 62% of SDS patients. Methods: We performed a reanalysis of the available WES files of a group of SDS patients with biallelic SBDS pathogenic variants, studying the results by next bioinformatic and protein structural analysis. Parallelly, careful clinical attention was given to the patient focused in this study. Results: We found and confirmed in one SDS patient a germline heterozygous missense variant (c.100T>C; p.Phe34Leu) in the EIF6 gene. This variant, inherited from his mother, has a very low frequency, and it is predicted as pathogenic, according to several in silico prediction tools. The protein structural analysis also envisages the variant could reduce the binding to the nascent 60S ribosomal. Conclusion: This study focused on the hypothesis that the EIF6 germline variant mimics the effect of somatic deletions of chromosome 20, always including the locus of this gene, and similarly may rescue the ribosomal stress and ribosomal dysfunction due to SBDS mutations. It is likely that this rescue may contribute to the stable and not severe hematological status of the proband, but a definite answer on the role of this EIF6 variant can be obtained only by adding a functional layer of evidence. In the future, these results are likely to be useful for selected cases in personalized medicine and therapy.
Collapse
Affiliation(s)
- Ibrahim Taha
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Selena Foroni
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Roberto Valli
- Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Annalisa Frattini
- Department of Medicine and Surgery, University of Insubria, Varese, Italy
- Istituto di Ricerca Genetica e Biomedica, CNR, Milano, Italy
| | - Pamela Roccia
- Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Giovanni Porta
- Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Marco Zecca
- Pediatric Hematology/Oncology, Fondazione IRCCS Policlinico S, Matteo, Pavia, Italy
| | - Elena Bergami
- Pediatric Hematology/Oncology, Fondazione IRCCS Policlinico S, Matteo, Pavia, Italy
| | - Marco Cipolli
- Centro Fibrosi Cistica, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy
| | - Francesco Pasquali
- Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Cesare Danesino
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Claudia Scotti
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Antonella Minelli
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
- *Correspondence: Antonella Minelli,
| |
Collapse
|