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Xu Y, Chen H, Zhang Q, Tan J, Zhou R, Ji X, Luo C, Meng L, Liu A, Wang Y, Hu P, Xu Z. Optical Genome Mapping for Prenatal Diagnosis in Fetuses With Structural Anomalies. Prenat Diagn 2025; 45:618-630. [PMID: 40229995 DOI: 10.1002/pd.6798] [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: 01/17/2025] [Revised: 03/20/2025] [Accepted: 04/07/2025] [Indexed: 04/16/2025]
Abstract
OBJECTIVE To evaluate the clinical value of optical genome mapping (OGM) for prenatal diagnosis in fetuses with structural anomalies. METHOD OGM was performed prospectively in 204 cases of fetuses with structural anomalies. Detection rates of OGM were investigated. Subgroup analysis was then conducted. RESULTS Overall, pathogenic or likely pathogenic (P/LP) chromosome aberrations were identified in 28 (13.7%) fetuses with structural anomalies using OGM, including 12 with numerical chromosomal abnormalities, 14 with P/LP copy number variations (CNVs) and two with balanced chromosomal rearrangements. OGM structural variation (SV) algorithm provided the structure and breakpoint information for 17 SVs and revealed six deletions, six tandem direct duplications, one inverted duplication, one paired duplication flanking a cryptic inversion and three balanced chromosomal rearrangements (one likely benign and two with breakpoints disrupting OMIM Morbid gene associated with dominant inheritance disorders). The diagnostic yields of OGM in the cystic hygroma group and multisystem malformation group were both significantly higher than those in other groups (35.7% vs. 10.3%, adjusted p = 0.018; 31.3% vs. 10.3%, adjusted p = 0.04). CONCLUSION Our study suggests that OGM is a reliable, comprehensive and high-resolution technology with an acceptable turnaround time that is a powerful method for prenatal diagnosis in fetuses with structural anomalies.
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Affiliation(s)
- Yiyun Xu
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China
| | - Hao Chen
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China
| | - Qinxin Zhang
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China
| | - Juan Tan
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China
- Department of Medical Genetics and Prenatal Diagnosis, Lianyungang Maternal and Child Health Hospital, Lianyungang, China
| | - Ran Zhou
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China
| | - Xiuqing Ji
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China
| | - Chunyu Luo
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China
| | - Lulu Meng
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China
| | - An Liu
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China
| | - Yan Wang
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China
| | - Ping Hu
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China
| | - Zhengfeng Xu
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China
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Ginter JA, Beaudry S, Guseva N, Nagy J, Stence AA, Sidhu A. Nonrecurrent Triplication of 5q21.3q23.3: A Case Report and Review of the Literature. Am J Med Genet A 2025; 197:e63969. [PMID: 39713812 DOI: 10.1002/ajmg.a.63969] [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: 06/14/2024] [Revised: 11/25/2024] [Accepted: 12/04/2024] [Indexed: 12/24/2024]
Abstract
Triplications involving 5q21.3q23.3 are rare, and a phenotype has not been established. Here, we present a 4-month-old male with dysmorphic facial features and congenital cardiac malformation. Chromosomal microarray identified a pathogenic triplication of 5q21.3q23.3 with chromosome analysis showing the extra 5q material inserted into 16q. Optical genome mapping (OGM) was performed to further characterize the triplication. We compared the clinical features of our proband with previous case reports of individuals with duplications or triplications in the region to identify a phenotype. Common features appear to include short stature, developmental delays, learning difficulties, and cardiac malformations. We discuss genes in the region with a reported role in cardiac development, hypothesize that the triplication may have resulted from microhomology-mediated break-induced replication, and discuss the utility and limitations of OGM in this case. To our knowledge, this is the first reported case of a de novo triplication of 5q21.3q23.3.
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Affiliation(s)
- Jacob A Ginter
- Division of Medical Genetics and Genomics, Stead Family Department of Pediatrics, University of Iowa Health Care, Iowa City, Iowa, USA
| | - Sarah Beaudry
- Division of Medical Genetics and Genomics, Stead Family Department of Pediatrics, University of Iowa Health Care, Iowa City, Iowa, USA
- Shivanand R. Patil Cytogenetics and Molecular Laboratory, University of Iowa Health Care, Iowa City, Iowa, USA
| | - Natalya Guseva
- Department of Pathology, University of Iowa Health Care, Iowa City, Iowa, USA
| | - Jaime Nagy
- Division of Medical Genetics and Genomics, Stead Family Department of Pediatrics, University of Iowa Health Care, Iowa City, Iowa, USA
- Shivanand R. Patil Cytogenetics and Molecular Laboratory, University of Iowa Health Care, Iowa City, Iowa, USA
| | - Aaron A Stence
- Department of Pathology, University of Iowa Health Care, Iowa City, Iowa, USA
| | - Alpa Sidhu
- Division of Medical Genetics and Genomics, Stead Family Department of Pediatrics, University of Iowa Health Care, Iowa City, Iowa, USA
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3
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de Bruijn SE, Ingeborgh van den Born L, Derks R, Haer-Wigman L, O'Gorman L, Cremers FPM, van Beek R, Hoischen A, Roosing S, Neveling K. Long-read technologies identify a hidden LINE-1/ERV1 insertion in IQCB1 as causative variant for Senior-Løken syndrome. NPJ Genom Med 2025; 10:33. [PMID: 40263280 PMCID: PMC12015587 DOI: 10.1038/s41525-025-00490-8] [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: 11/19/2024] [Accepted: 04/11/2025] [Indexed: 04/24/2025] Open
Abstract
Senior-Løken syndrome is a rare ciliopathy characterized by retinal dystrophy and nephronophthisis. This autosomal recessive inherited disease is caused by pathogenic variants in several genes, including IQCB1. We present a Senior-Løken case that remained genetically unexplained after routine genetic testing, including exome and genome sequencing. To identify the genetic cause for this individual, a combination of innovative long-read technologies was employed. Using optical genome mapping, an intronic 6.2-kb insertion in IQCB1 was revealed. Validation by long-read genome sequencing determined that this insertion consisted of a LINE-1/ERV1-mobile element. The variant was found in trans with a pathogenic IQCB1 2-bp deletion previously identified by exome sequencing. To investigate the consequences of the insertion, targeted long-read RNA-sequencing was performed, revealing a complex splice defect causing the introduction of a premature stop codon. This finding suggests that mobile element insertions represent a yet underestimated variant type that is difficult to detect using short-read sequencing.
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Affiliation(s)
- Suzanne E de Bruijn
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands.
| | | | - Ronny Derks
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Lonneke Haer-Wigman
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Luke O'Gorman
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Frans P M Cremers
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Ronald van Beek
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Alexander Hoischen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, the Netherlands
| | - Susanne Roosing
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Kornelia Neveling
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
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4
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van der Sanden B, Neveling K, Shukor S, Gallagher MD, Lee J, Burke SL, Pennings M, van Beek R, Oorsprong M, Kater-Baats E, Kamping E, Tieleman AA, Voermans NC, Scheffer IE, Gecz J, Corbett MA, Vissers LELM, Pang AWC, Hastie A, Kamsteeg EJ, Hoischen A. Optical genome mapping enables accurate testing of large repeat expansions. Genome Res 2025; 35:810-823. [PMID: 40113266 PMCID: PMC12047237 DOI: 10.1101/gr.279491.124] [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: 04/19/2024] [Accepted: 02/24/2025] [Indexed: 03/22/2025]
Abstract
Short tandem repeats (STRs) are common variations in human genomes that frequently expand or contract, causing genetic disorders, mainly when expanded. Traditional diagnostic methods for identifying these expansions, such as repeat-primed PCR and Southern blotting, are often labor-intensive, locus-specific, and are unable to precisely determine long repeat expansions. Sequencing-based methods, although capable of genome-wide detection, are limited by inaccuracy (short-read technologies) and high associated costs (long-read technologies). This study evaluated optical genome mapping (OGM) as an efficient, accurate approach for measuring STR lengths and assessing somatic stability in 85 samples with known pathogenic repeat expansions in DMPK, CNBP, and RFC1, causing myotonic dystrophy types 1 and 2 and cerebellar ataxia, neuropathy, and vestibular areflexia syndrome (CANVAS), respectively. Three workflows-manual de novo assembly, local guided assembly (local-GA), and a molecule distance script-were applied, of which the latter two were developed as part of this study to assess the repeat sizes and somatic repeat stability. OGM successfully identified 84/85 (98.8%) of the pathogenic expansions, distinguishing between wild-type and expanded alleles or between two expanded alleles in recessive cases, with greater accuracy than standard of care (SOC) for long repeats and no apparent upper size limit. Notably, OGM detected somatic instability in a subset of DMPK, CNBP, and RFC1 samples. These findings suggest OGM could advance diagnostic accuracy for large repeat expansions, providing a more comprehensive genome-wide assay for repeat expansion disorders by measuring exact repeat lengths and somatic instability across multiple loci simultaneously.
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Affiliation(s)
- Bart van der Sanden
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, 6525GA Nijmegen, the Netherlands
| | - Kornelia Neveling
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, 6525GA Nijmegen, the Netherlands
| | - Syukri Shukor
- Bionano Genomics Clinical and Scientific Affairs, San Diego, California 92101, USA
| | - Michael D Gallagher
- Bionano Genomics Clinical and Scientific Affairs, San Diego, California 92101, USA
| | - Joyce Lee
- Bionano Genomics Clinical and Scientific Affairs, San Diego, California 92101, USA
| | - Stephanie L Burke
- Bionano Genomics Clinical and Scientific Affairs, San Diego, California 92101, USA
| | - Maartje Pennings
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, 6525GA Nijmegen, the Netherlands
| | - Ronald van Beek
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, 6525GA Nijmegen, the Netherlands
| | - Michiel Oorsprong
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, 6525GA Nijmegen, the Netherlands
| | - Ellen Kater-Baats
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, 6525GA Nijmegen, the Netherlands
| | - Eveline Kamping
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, 6525GA Nijmegen, the Netherlands
| | - Alide A Tieleman
- Department of Neurology, Radboud University Medical Center, 6525GA Nijmegen, the Netherlands
| | - Nicol C Voermans
- Department of Neurology, Radboud University Medical Center, 6525GA Nijmegen, the Netherlands
| | - Ingrid E Scheffer
- Epilepsy Research Centre, Department of Medicine, University of Melbourne, Austin Health, VIC 3084, Australia
- Department of Pediatrics, University of Melbourne, Royal Children's Hospital, Florey and Murdoch Children's Research Institutes, VIC 3052, Melbourne, Australia
| | - Jozef Gecz
- South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia
- Genetics and Molecular Pathology, SA Pathology, Adelaide, SA 5000, Australia
- Robinson Research Institute and Adelaide Medical School, University of Adelaide, Adelaide, SA 5000, Australia
| | - Mark A Corbett
- Robinson Research Institute and Adelaide Medical School, University of Adelaide, Adelaide, SA 5000, Australia
| | - Lisenka E L M Vissers
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, 6525GA Nijmegen, the Netherlands
| | - Andy Wing Chun Pang
- Bionano Genomics Clinical and Scientific Affairs, San Diego, California 92101, USA
| | - Alex Hastie
- Bionano Genomics Clinical and Scientific Affairs, San Diego, California 92101, USA
| | - Erik-Jan Kamsteeg
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, 6525GA Nijmegen, the Netherlands;
| | - Alexander Hoischen
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, 6525GA Nijmegen, the Netherlands;
- Department of Internal Medicine, Radboud Expertise Center for Immunodeficiency and Autoinflammation and Radboud Center for Infectious Disease (RCI), Radboud University Medical Center, 6525GA Nijmegen, the Netherlands
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Xu IRL, Danzi MC, Raposo J, Züchner S. The continued promise of genomic technologies and software in neurogenetics. J Neuromuscul Dis 2025:22143602251325345. [PMID: 40208247 DOI: 10.1177/22143602251325345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2025]
Abstract
The continued evolution of genomic technologies over the past few decades has revolutionized the field of neurogenetics, offering profound insights into the genetic underpinnings of neurological disorders. Identification of causal genes for numerous monogenic neurological conditions has informed key aspects of disease mechanisms and facilitated research into critical proteins and molecular pathways, laying the groundwork for therapeutic interventions. However, the question remains: has this transformative trend reached its zenith? In this review, we suggest that despite significant strides in genome sequencing and advanced computational analyses, there is still ample room for methodological refinement. We anticipate further major genetic breakthroughs corresponding with the increased use of long-read genomes, variant calling software, AI tools, and data aggregation databases. Genetic progress has historically been driven by technological advancements from the commercial sector, which are developed in response to academic research needs, creating a continuous cycle of innovation and discovery. This review explores the potential of genomic technologies to address the challenges of neurogenetic disorders. By outlining both established and modern resources, we aim to emphasize the importance of genetic technologies as we enter an era poised for discoveries.
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Affiliation(s)
- Isaac R L Xu
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Matt C Danzi
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jacquelyn Raposo
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Stephan Züchner
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
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6
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Liu Y, Xia K. Aberrant Short Tandem Repeats: Pathogenicity, Mechanisms, Detection, and Roles in Neuropsychiatric Disorders. Genes (Basel) 2025; 16:406. [PMID: 40282366 PMCID: PMC12026680 DOI: 10.3390/genes16040406] [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: 03/03/2025] [Revised: 03/17/2025] [Accepted: 03/19/2025] [Indexed: 04/29/2025] Open
Abstract
Short tandem repeat (STR) sequences are highly variable DNA segments that significantly contribute to human neurodegenerative disorders, highlighting their crucial role in neuropsychiatric conditions. This article examines the pathogenicity of abnormal STRs and classifies tandem repeat expansion disorders(TREDs), emphasizing their genetic characteristics, mechanisms of action, detection methods, and associated animal models. STR expansions exhibit complex genetic patterns that affect the age of onset and symptom severity. These expansions disrupt gene function through mechanisms such as gene silencing, toxic gain-of-function mutations leading to RNA and protein toxicity, and the generation of toxic peptides via repeat-associated non-AUG (RAN) translation. Advances in sequencing technologies-from traditional PCR and Southern blotting to next-generation and long-read sequencing-have enhanced the accuracy of STR variation detection. Research utilizing these technologies has linked STR expansions to a range of neuropsychiatric disorders, including autism spectrum disorders and schizophrenia, highlighting their contribution to disease risk and phenotypic expression through effects on genes involved in neurodevelopment, synaptic function, and neuronal signaling. Therefore, further investigation is essential to elucidate the intricate interplay between STRs and neuropsychiatric diseases, paving the way for improved diagnostic and therapeutic strategies.
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Affiliation(s)
- Yuzhong Liu
- Institute of Cytology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang 421001, China;
- MOE Key Lab of Rare Pediatric Diseases, School of Basic Medicine, Hengyang Medical College, University of South China, Hengyang 421001, China
| | - Kun Xia
- Institute of Cytology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang 421001, China;
- MOE Key Lab of Rare Pediatric Diseases, School of Basic Medicine, Hengyang Medical College, University of South China, Hengyang 421001, China
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Aynacı S, Kocagil S, Yarar C, Tosumoğlu E, Gökalp EE, Mutlu MB, Artan S. A Novel de novo Exceptional Complex Chromosomal Rearrangement Involving 5 Chromosomes Resulting in Neurodevelopmental Delay and Dysmorphism. Mol Syndromol 2025:1-9. [PMID: 40331099 PMCID: PMC12052349 DOI: 10.1159/000545465] [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: 01/09/2025] [Accepted: 03/21/2025] [Indexed: 05/08/2025] Open
Abstract
Introduction Complex chromosomal rearrangements (CCRs) are constitutive structural aberrations involving three or more chromosomal breaks on three or more chromosomes resulting from complex events such as fork stalling and template switching, microhomology-mediated break-induced repair, or breakage-fusion-bridge cycles. Case Presentation Here we report an 11-year-old female that was referred to our outpatient clinics for learning disability and dysmorphic features. Due to clinical findings, karyotype analysis was done initially, and a CCR involving five chromosomes was detected. Fluorescence in situ hybridization (FISH) analysis and chromosomal microarray analysis were done subsequently. Balanced translocations were observed between chromosomes 1, 5, 7, and 10, a balanced paracentric inversion of chromosome 2, and two interstitial deletions in the long arm of the chromosome 5. Optical genome mapping was done to further investigate this exceptional CCR and a paracentric inversion that was associated with the two interstitial deletions was detected in the long arm of chromosome 5. Conclusion Molecular cytogenetic techniques, such as microarray and FISH, are essential for detecting copy number variations at CCRs that appear to be balanced by karyotyping. Nonetheless, optical genome mapping enhances the resolution offering a valuable complement to traditional cytogenetic techniques.
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Affiliation(s)
- Sabri Aynacı
- Department of Medical Genetics, Eskişehir Osmangazi University, Faculty of Medicine, Eskişehir, Turkey
| | - Sinem Kocagil
- Department of Medical Genetics, Eskişehir Osmangazi University, Faculty of Medicine, Eskişehir, Turkey
| | - Coşkun Yarar
- Department of Pediatric Neurology, Eskişehir Osmangazi University, Faculty of Medicine, Eskişehir, Turkey
| | - Efsun Tosumoğlu
- Department of Medical Genetics, Eskişehir Osmangazi University, Faculty of Medicine, Eskişehir, Turkey
| | - Ebru Erzurumluoğlu Gökalp
- Department of Medical Genetics, Eskişehir Osmangazi University, Faculty of Medicine, Eskişehir, Turkey
| | | | - Sevilhan Artan
- Department of Medical Genetics, Eskişehir Osmangazi University, Faculty of Medicine, Eskişehir, Turkey
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8
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Groopman E, Milo Rasouly H. Navigating Genetic Testing in Nephrology: Options and Decision-Making Strategies. Kidney Int Rep 2025; 10:673-695. [PMID: 40225372 PMCID: PMC11993218 DOI: 10.1016/j.ekir.2024.12.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Revised: 12/03/2024] [Accepted: 12/10/2024] [Indexed: 04/15/2025] Open
Abstract
Technological advances such as next-generation sequencing (NGS) have enabled high-throughput assessment of the human genome, supporting the usage of genetic testing as a first-line tool across clinical medicine. Although individually rare, genetic causes account for end-stage renal disease in 10% to 15% of adults and 70% of children, and in many of these individuals, genetic testing can identify a specific etiology and meaningfully impact management. However, with numerous options for genetic testing available, nephrologists may feel uncomfortable integrating genetics into their clinical practice. Here, we aim to demystify the process of genetic test selection and highlight the opportunities for interdisciplinary collaboration between nephrologists and genetics professionals, thereby supporting precision medicine for patients with kidney disease. We first detail the various clinical genetic testing modalities, highlighting their technical advantages and limitations, and then discuss indications for their usage. Next, we provide a generalized workflow for genetic test selection among individuals with kidney disease and illustrate how this workflow can be applied to genetic test selection across diverse clinical contexts. We then discuss key areas related to the usage of genetic testing in clinical nephrology that merit further research and approaches to investigate them.
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Affiliation(s)
- Emily Groopman
- Pediatrics and Medical Genetics Combined Residency Program, Children’s National Hospital, Washington, DC, USA
| | - Hila Milo Rasouly
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York, USA
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Harris L, McDonagh EM, Zhang X, Fawcett K, Foreman A, Daneck P, Sergouniotis PI, Parkinson H, Mazzarotto F, Inouye M, Hollox EJ, Birney E, Fitzgerald T. Genome-wide association testing beyond SNPs. Nat Rev Genet 2025; 26:156-170. [PMID: 39375560 DOI: 10.1038/s41576-024-00778-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/03/2024] [Indexed: 10/09/2024]
Abstract
Decades of genetic association testing in human cohorts have provided important insights into the genetic architecture and biological underpinnings of complex traits and diseases. However, for certain traits, genome-wide association studies (GWAS) for common SNPs are approaching signal saturation, which underscores the need to explore other types of genetic variation to understand the genetic basis of traits and diseases. Copy number variation (CNV) is an important source of heritability that is well known to functionally affect human traits. Recent technological and computational advances enable the large-scale, genome-wide evaluation of CNVs, with implications for downstream applications such as polygenic risk scoring and drug target identification. Here, we review the current state of CNV-GWAS, discuss current limitations in resource infrastructure that need to be overcome to enable the wider uptake of CNV-GWAS results, highlight emerging opportunities and suggest guidelines and standards for future GWAS for genetic variation beyond SNPs at scale.
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Affiliation(s)
- Laura Harris
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EBI), Wellcome Genome Campus, Hinxton, UK
| | - Ellen M McDonagh
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EBI), Wellcome Genome Campus, Hinxton, UK
| | - Xiaolei Zhang
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EBI), Wellcome Genome Campus, Hinxton, UK
| | - Katherine Fawcett
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EBI), Wellcome Genome Campus, Hinxton, UK
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Amy Foreman
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EBI), Wellcome Genome Campus, Hinxton, UK
| | - Petr Daneck
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Panagiotis I Sergouniotis
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EBI), Wellcome Genome Campus, Hinxton, UK
- Division of Evolution, Infection and Genomics, School of Biological Sciences, University of Manchester, Manchester, UK
| | - Helen Parkinson
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EBI), Wellcome Genome Campus, Hinxton, UK
| | - Francesco Mazzarotto
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Michael Inouye
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Edward J Hollox
- Department of Genetics and Genome Biology, University of Leicester, Leicester, UK
| | - Ewan Birney
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EBI), Wellcome Genome Campus, Hinxton, UK
| | - Tomas Fitzgerald
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EBI), Wellcome Genome Campus, Hinxton, UK.
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10
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Macke EL, Miller AR, Colwell CM, Gonzalez MH, Hunter J, Venkata LPR, Walker L, Wheeler G, Wilson RK, Mardis ER, Miller KE, Mathew MT, Chaudhari BP, Akkari Y. Optical Genome Mapping (OGM) Identifies Multiple Structural Variants in a Case With Atypical Phelan-McDermid Syndrome. Am J Med Genet A 2025; 197:e63929. [PMID: 39535355 DOI: 10.1002/ajmg.a.63929] [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: 07/04/2024] [Revised: 09/11/2024] [Accepted: 10/25/2024] [Indexed: 11/16/2024]
Abstract
Here we describe a neonate exhibiting hypotonia, macrocephaly, renal cysts, and respiratory failure requiring tracheostomy and ventilator support. Genetic analysis via rapid genome sequencing (rGS) identified a loss on chromosome 4 encompassing polycystin-2 (PKD2) and a loss on chromosome 22 encompassing SH3 and Multiple Ankyrin Repeat Domains 3 (SHANK3), indicative of Phelan-McDermid syndrome. Further analysis via traditional karyotyping, Optical Genome Mapping (OGM), and PacBio long-read sequencing revealed a more complex landscape of chromosomal rearrangements in this individual, including a balanced 3;12 translocation, and an unbalanced 17;22 translocation. The proband's phenotypic presentation is thought to be the result of Phelan-McDermid syndrome and represents an expansion of the described phenotypes to include significant respiratory failure. This study underscores the challenges and importance of comprehensive genetic testing in elucidating complex presentations and highlights the need for complementary testing methods to overcome limitations in resolution.
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Affiliation(s)
- Erica L Macke
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Anthony R Miller
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Caitlyn M Colwell
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Maria Hernandez Gonzalez
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Jesse Hunter
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA
- Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, Ohio, USA
- Department of Pathology, The Ohio State University, Columbus, Ohio, USA
| | - Lakshmi Prakruthi Rao Venkata
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Lauren Walker
- Division of Genetics and Genomic Medicine, Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Gregory Wheeler
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Richard K Wilson
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA
- Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Elaine R Mardis
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA
- Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Katherine E Miller
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA
- Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Mariam T Mathew
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA
- Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, Ohio, USA
- Department of Pathology, The Ohio State University, Columbus, Ohio, USA
| | - Bimal P Chaudhari
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA
- Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, Ohio, USA
- Division of Neonatology, Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Yassmine Akkari
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA
- Department of Pathology, The Ohio State University, Columbus, Ohio, USA
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11
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Dehkordi SR, Jia Z, Estabrook J, Hauenstein J, Miller N, Güleray-Lafci N, Neesen J, Hastie A, Chaubey A, Chun Pang AW, Dremsek P, Bafna V. OMKar: optical map based automated karyotyping of genomes to identify constitutional abnormalities. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.02.13.25322211. [PMID: 39990584 PMCID: PMC11844600 DOI: 10.1101/2025.02.13.25322211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 02/25/2025]
Abstract
The whole genome karyotype refers to the sequence of large chromosomal segments that make up an individual's genotype. karyotype analysis, which includes descriptions of aneuploidies and other rearrangements is crucial for understanding genetic risk factors, for diagnosis, treatment decisions, and genetic counseling linked to constitutional disorders. The current karyotyping standard is based on microscopic examination of chromosomes, a complex process that requires high expertise and offers Mb scale resolution. Optical Genome Mapping (OGM) technology can identify large DNA lesions in a cost-effective manner. In this paper, we developed OMKar, a method that uses OGM data to create a virtual karyotype. OMKar processes Structural (SV) and Copy Number (CN) Variants as inputs and encodes them into a compact breakpoint graph. It recomputes copy numbers using Integer Linear Programming to maintain CN balance and then identifies constrained Eulerian paths representing entire donor chromosomes. In tests using 38 whole genome simulations of constitutional disorders, OMKar reconstructed the karyotype with 88% precision and 95% recall on SV concordance and 95% Jaccard score on CN concordance. We applied OMKar to 50 prenatal, 41 postnatal, and 63 parental samples from ten different sites. OMKar reconstructed the correct karyotype in 144 out of 154 samples, covering 25 of 25 aneuploidies, 32 of 32 balanced translocations, and 72 of 82 unbalanced variations. Detected constitutional disorders included Cri-du-chat, Wolf-Hirschhorn, Prader-Willi deletions, Down, and Turner syndromes. Importantly, it identified a plausible genetic mechanism for five cases of constitutional disorder that were not detected by other technologies. Together, these results demonstrate the robustness of OMKar for OGM-based karyotyping. OMKar is publicly available at https://github.com/siavashre/OMKar .
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12
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Monlong J, Chen X, Barseghyan H, Rowell WJ, Negi S, Nokoff N, Mohnach L, Hirsch J, Finlayson C, Keegan CE, Almalvez M, Berger SI, de Dios I, McNulty B, Robertson A, Miga KH, Speiser PW, Paten B, Vilain E, Délot EC. Long-read sequencing resolves the clinically relevant CYP21A2 locus, supporting a new clinical test for Congenital Adrenal Hyperplasia. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.02.07.25321404. [PMID: 39990550 PMCID: PMC11844570 DOI: 10.1101/2025.02.07.25321404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2025]
Abstract
Congenital Adrenal Hyperplasia (CAH), one of the most common inherited disorders, is caused by defects in adrenal steroidogenesis. It is potentially lethal if untreated and is associated with multiple comorbidities, including fertility issues, obesity, insulin resistance, and dyslipidemia. CAH can result from variants in multiple genes, but the most frequent cause is deletions and conversions in the segmentally duplicated RCCX module, which contains the CYP21A2 gene and a pseudogene. The molecular genetic test to identify pathogenic alleles is cumbersome, incomplete, and available from a limited number of laboratories. It requires testing parents for accurate interpretation, leading to healthcare inequity. Less severe forms are frequently misdiagnosed, and phenotype/genotype correlations incompletely understood. We explored whether emerging technologies could be leveraged to identify all pathogenic alleles of CAH, including phasing in proband-only cases. We targeted long-read sequencing outputs that would be practical in a clinical laboratory setting. Both HiFi-based and nanopore-based whole-genome long-read sequencing datasets could be mined to accurately identify pathogenic single-nucleotide variants, full gene deletions, fusions creating non-functional hybrids between the gene and pseudogene ("30-kb deletion"), as well as count the number of RCCX modules and phase the resulting multimodular haplotypes. On the Hi-Fi data set of 6 samples, the PacBio Paraphase tool was able to distinguish nine different mono-, bi-, and tri-modular haplotypes, as well as the 30-kb and whole gene deletions. To do the same on the ONT-Nanopore dataset, we designed a tool, Parakit, which creates an enriched local pangenome to represent known haplotype assemblies and map ClinVar pathogenic variants and fusions onto them. With few labels in the region, optical genome mapping was not able to reliably resolve module counts or fusions, although designing a tool to mine the dataset specifically for this region may allow doing so in the future. Both sequencing techniques yielded congruent results, matching clinically identified variants, and offered additional information above the clinical test, including phasing, count of RCCX modules, and status of the other module genes, all of which may be of clinical relevance. Thus long-read sequencing could be used to identify variants causing multiple forms of CAH in a single test.
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13
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Dremsek P, Schachner A, Reischer T, Krampl-Bettelheim E, Bettelheim D, Vrabel S, Delissen Z, Pfeifer M, Weil B, Bajtela R, Hengstschläger M, Laccone F, Neesen J. Retrospective study on the utility of optical genome mapping as a follow-up method in genetic diagnostics. J Med Genet 2025; 62:89-96. [PMID: 39653387 PMCID: PMC11877032 DOI: 10.1136/jmg-2024-110265] [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: 07/22/2024] [Accepted: 11/20/2024] [Indexed: 01/12/2025]
Abstract
BACKGROUND Current standard-of-care (SOC) methods for genetic testing are capable of resolving deletions and sequence variants, but they mostly fail to provide information on the breakpoints of duplications and balanced structural variants (SV). However, this information may be necessary for their clinical assessment, especially if the carrier's phenotype is difficult to assess and/or carrier analysis of relatives is not viable. A promising approach to solving such challenging cases arises with access to optical genome mapping (OGM) but has not been systematically explored as of yet. METHODS In this retrospective study, we evaluated diagnostic cases from a 1-year period (2023) in which an SV discovery by SOC methods (microarray, karyotyping and whole-exome sequencing) was followed up by OGM, with the objective to unlock clinically relevant information about the SV. RESULTS Seven cases were shown by SOC methods to bear potential pathogenic SVs and were consequently followed up by OGM. Of these, six were solved by the additional use of OGM alone. One case required sequencing after OGM analysis to further specify the SV's breakpoints. In all seven cases, OGM was crucial for determining the clinical relevance of the detected SV. CONCLUSION This study describes the use of OGM as a valuable method for characterising duplications and balanced SVs. Often, this additional information does not add to the quality of a clinical report. However, for a subset of patients, these data are critical, especially in the prenatal setting or when no familial analyses are possible.
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Affiliation(s)
- Paul Dremsek
- Center for Pathobiochemistry and Genetics, Medical University of Vienna, Wien, Austria
| | - Anna Schachner
- Center for Pathobiochemistry and Genetics, Medical University of Vienna, Wien, Austria
| | - Theresa Reischer
- Department of Obstetrics and Gynaecology, Medical University of Vienna, Wien, Austria
| | | | - Dieter Bettelheim
- Department of Obstetrics and Gynaecology, Medical University of Vienna, Wien, Austria
| | - Sybille Vrabel
- Center for Pathobiochemistry and Genetics, Medical University of Vienna, Wien, Austria
| | - Zoja Delissen
- Center for Pathobiochemistry and Genetics, Medical University of Vienna, Wien, Austria
| | - Mateja Pfeifer
- Center for Pathobiochemistry and Genetics, Medical University of Vienna, Wien, Austria
| | - Beatrix Weil
- Center for Pathobiochemistry and Genetics, Medical University of Vienna, Wien, Austria
| | - Robert Bajtela
- Center for Pathobiochemistry and Genetics, Medical University of Vienna, Wien, Austria
| | - Markus Hengstschläger
- Center for Pathobiochemistry and Genetics, Medical University of Vienna, Wien, Austria
| | - Franco Laccone
- Center for Pathobiochemistry and Genetics, Medical University of Vienna, Wien, Austria
| | - Jürgen Neesen
- Center for Pathobiochemistry and Genetics, Medical University of Vienna, Wien, Austria
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14
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Yin K, Li M, Zhang H, Chang J, Qi Q, Zhou X, Guo J, Wang Y, Mao X, Hao N, Jiang Y. Optical genome mapping to decipher the chromosomal aberrations in families seeking for preconception genetic counseling. Sci Rep 2025; 15:2614. [PMID: 39838026 PMCID: PMC11751393 DOI: 10.1038/s41598-025-86828-9] [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: 08/31/2024] [Accepted: 01/14/2025] [Indexed: 01/23/2025] Open
Abstract
Optical genome mapping (OGM) offers high consistency in simultaneously detecting structural and copy number variants. This study aimed to retrospectively evaluate the efficacy and potential applications of OGM in preconception genetic counseling. Herein, 74 samples from 37 families were included, and their results of OGM were compared to conventional methods, namely karyotyping (KT) and chromosomal microarray analysis (CMA), which identified 27 variants across 16 positive families. Notably, OGM achieved a concordance rate of 94.7% and 100% with KT and CMA, respectively, presenting an overall concordance of 96.3%, as it missed detecting a centromeric translocation. Additionally, OGM detected two cryptic balanced translocations and a small deletion in three families that were missed by conventional methods, improving the diagnostic rate by 5.4%, along with assisting in the diagnoses of six families (16.2%) by identifying complex rearrangements and confirming cryptic translocations. The combination of KT with OGM yielded the highest diagnostic rate in all families. Overall, the findings of this study present the notable potential of OGM for its application, combined with KT per requirement, in clinical settings to improve the efficiency and accuracy of diagnoses and rapid screening of individuals seeking preconception genetic counseling.
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Affiliation(s)
- Kaili Yin
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Mengmeng Li
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Hanzhe Zhang
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jiazhen Chang
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Qingwei Qi
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xiya Zhou
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | | | - Yaru Wang
- Ecobono (Beijing) Biotech Co., Ltd, Beijing, China
| | - Xuequn Mao
- Haidian District Maternal and Child Health Care Hospital, Beijing, China
| | - Na Hao
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
| | - Yulin Jiang
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
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15
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Naghinejad M, Parvizpour S, Khaniani MS, Mehri M, Derakhshan SM, Amirfiroozy A. The known structural variations in hearing loss and their diagnostic approaches: a comprehensive review. Mol Biol Rep 2025; 52:131. [PMID: 39821465 DOI: 10.1007/s11033-025-10231-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: 11/18/2024] [Accepted: 01/07/2025] [Indexed: 01/19/2025]
Abstract
Hearing loss (HL) is the most common sensory disorder, characterized by a wide range of causes, including both environmental and genetic factors. While single-nucleotide variants (SNVs) and small insertions/deletions have been extensively studied, the role of structural variations (SVs) in hearing impairment has gained increasing recognition. This review article aims to provide a comprehensive overview of the importance of SVs in HL, by exploring the SVs associated with HL and their underlying pathogenic mechanisms. Additionally, diagnostic methods of SVs have been briefly evaluated and compared in general. Three major mechanisms by which SVs can lead to HL are gene disruption, gene dosage imbalance, and position effect. Furthermore, to facilitate the detection of SVs in HL, this review presents a table highlighting the key genes and genomic regions implicated in SVs and their diagnostic approaches associated with HL patients. In the next step, indications for the use of SV diagnostic techniques are compiled in another table in this article, which will help experts in choosing the most appropriate technique. At last, the comprehensive review presented here underscores the significant role of SVs in HL. Further research is required to fully elucidate the spectrum of SVs in HL and optimize the clinical use of SV detection methods in routine diagnostic procedures.
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Affiliation(s)
- Maryam Naghinejad
- Department of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Sepideh Parvizpour
- Research Center for Pharmaceutical Nanotechnology, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mahmoud Shekari Khaniani
- Department of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Maghsood Mehri
- Department of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Sima Mansoori Derakhshan
- Department of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Akbar Amirfiroozy
- Department of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
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16
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Chau MHK, Anderson SA, Song R, Cooper L, Ward PA, Yuan B, Shaw C, Stankiewicz P, Cheung SW, Vossaert L, Wang Y, Owen NM, Smith J, Bacino CA, Schulze KV, Bi W. Detection of Clinically Relevant Monogenic Copy-Number Variants by a Comprehensive Genome-Wide Microarray with Exonic Coverage. Clin Chem 2025; 71:141-154. [PMID: 39749505 DOI: 10.1093/clinchem/hvae188] [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: 08/16/2024] [Accepted: 10/18/2024] [Indexed: 01/04/2025]
Abstract
BACKGROUND Disease-causing copy-number variants (CNVs) often encompass contiguous genes and can be detected using chromosomal microarray analysis (CMA). Conversely, CNVs affecting single disease-causing genes have historically been challenging to detect due to their small sizes. METHODS A custom comprehensive CMA (Baylor College of Medicine - BCM v11.2) containing 400k probes and featuring exonic coverage for >4200 known or candidate disease-causing genes was utilized for the detection of CNVs at single-exon resolution. CMA results across a consecutive clinical cohort of more than 13 000 patients referred for genetic investigation at Baylor Genetics were examined. The genomic characteristics of CNVs impacting single protein-coding genes were investigated. RESULTS Pathogenic or likely pathogenic (P/LP) CNVs (n = 190) affecting single protein-coding genes were detected in 188 patients, accounting for 9.9% (188/1894) of patients with P/LP CMA findings. The P/LP monogenic CNVs accounted for 9.2% (190/2058) of all P/LP nuclear CNVs detected by CMA. A total of 57.9% (110/190) of P/LP monogenic CNVs were smaller than 50 kb in size. Single exons were affected by 26.3% (50/190) of P/LP monogenic CNVs while 13.2% (25/190) affected 2 exons. CNVs were detected across 107 unique genes associated with predominantly autosomal dominant (AD) and X-linked (XL) conditions but also contributed to autosomal recessive (AR) conditions. CONCLUSIONS CMA with exon-targeted coverage of disease-associated genes facilitated the detection of small CNVs affecting single protein-coding genes, adding substantial clinical sensitivity to comprehensive CNV investigation. This approach resolved monogenic CNVs associated with autosomal and X-linked monogenic etiologies and yielded multiple significant findings. Monogenic CNVs represent an underrecognized subset of disease-causing alleles for Mendelian disorders.
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Affiliation(s)
- Matthew Hoi Kin Chau
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
- Baylor Genetics Laboratory, Houston, TX, United States
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong, China
| | | | - Rodger Song
- Baylor Genetics Laboratory, Houston, TX, United States
| | - Lance Cooper
- Baylor Genetics Laboratory, Houston, TX, United States
| | - Patricia A Ward
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
- Baylor Genetics Laboratory, Houston, TX, United States
| | - Bo Yuan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
- Baylor Genetics Laboratory, Houston, TX, United States
| | - Chad Shaw
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
| | - Paweł Stankiewicz
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
- Baylor Genetics Laboratory, Houston, TX, United States
| | - Sau Wai Cheung
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
- The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong, China
| | - Liesbeth Vossaert
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
- Baylor Genetics Laboratory, Houston, TX, United States
| | - Yue Wang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
- Baylor Genetics Laboratory, Houston, TX, United States
| | - Nichole M Owen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
- Baylor Genetics Laboratory, Houston, TX, United States
| | - Janice Smith
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
- Baylor Genetics Laboratory, Houston, TX, United States
| | - Carlos A Bacino
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
- Baylor Genetics Laboratory, Houston, TX, United States
- Texas Children's Hospital, Houston, TX, United States
| | - Katharina V Schulze
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
- Baylor Genetics Laboratory, Houston, TX, United States
| | - Weimin Bi
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
- Baylor Genetics Laboratory, Houston, TX, United States
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17
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Mai J, Duan J, Chen X, Liu L, Liang D, Fu T, Lu G, Chan WY, Luo X, Wen F, Liao J, Li Z, Lu X. Optical genome mapping: Unraveling complex variations and enabling precise diagnosis in dystrophinopathy. Ann Clin Transl Neurol 2025; 12:43-55. [PMID: 39575648 PMCID: PMC11752086 DOI: 10.1002/acn3.52245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2024] [Revised: 10/04/2024] [Accepted: 10/23/2024] [Indexed: 01/06/2025] Open
Abstract
OBJECTIVE Approximately 7% of individuals with dystrophinopathy remain undiagnosed at the genetic level using conventional genetic tests like multiplex ligation-dependent probe amplification (MLPA) and next-generation sequencing (NGS). We used the optical genome mapping (OGM) technology to detect and analyze uncommon mutations or structural variations (SVs) within the DMD gene, thus contributing to more precise clinical diagnoses. METHODS We herein included eight patients with dystrophinopathy (six males and two females) in whom pathogenic variants of the DMD gene could not be accurately identified using MLPA and NGS. Clinical data were collected for all patients and genetic testing was performed using OGM. RESULTS Conventional methods (MLPA and NGS) failed to detect pathogenic mutations in six out of eight individuals (four males and two females). OGM testing uncovered rare mutations in the DMD gene in four patients, including a pericentric inversion in chromosome X (one male), a complex rearrangement (one male), and two X-autosome translocations (two females). No mutations were detected in the remaining two male patients. OGM also accurately mapped balanced X-autosome translocations in female patients, defining chromosomal breakpoints. In the other two male patients in whom MLPA suggested non-contiguous exon duplications or deletions in the DMD gene, OGM characterized one case as a complex rearrangement and the other as a deletion within the DMD gene. INTERPRETATION OGM is a valuable diagnostic tool for dystrophinopathy patients with negative results from conventional genetic tests. It can effectively elucidate complex SVs and pinpoint breakpoints in X-autosomal translocations in female patients, facilitating prompt and appropriate interventions.
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Affiliation(s)
- Jiahui Mai
- Department of NeurologyShenzhen Children's Hospital of China Medical UniversityNo. 7019 Yitian Road, Futian DistrictShenzhen518038GuangdongPR China
| | - Jing Duan
- Department of NeurologyShenzhen Children's HospitalNo. 7019 Yitian Road, Futian DistrictShenzhen518038GuangdongPR China
| | - Xiaoyu Chen
- Department of NeurologyShenzhen Children's HospitalNo. 7019 Yitian Road, Futian DistrictShenzhen518038GuangdongPR China
| | - Liqin Liu
- Department of NeurologyShenzhen Children's HospitalNo. 7019 Yitian Road, Futian DistrictShenzhen518038GuangdongPR China
| | - Dachao Liang
- Shenzhen A‐Smart Medical Research Center, Room 516Shenzhen Research Institute of the Chinese University of Hong Kong10, 2nd Yuexing Road, Nanshan DistrictShenzhen518000GuangdongChina
| | - Tao Fu
- Shenzhen A‐Smart Medical Research Center, Room 516Shenzhen Research Institute of the Chinese University of Hong Kong10, 2nd Yuexing Road, Nanshan DistrictShenzhen518000GuangdongChina
| | - Gang Lu
- The Chinese University of Hong Kong‐Shandong University (CUHK‐SDU) Joint Laboratory on Reproductive GeneticsSchool of Biomedical Sciences, The Chinese University of Hong KongHong KongHong Kong
| | - Wai Yee Chan
- The Chinese University of Hong Kong‐Shandong University (CUHK‐SDU) Joint Laboratory on Reproductive GeneticsSchool of Biomedical Sciences, The Chinese University of Hong KongHong KongHong Kong
| | - Xufeng Luo
- Department of NeurologyShenzhen Children's HospitalNo. 7019 Yitian Road, Futian DistrictShenzhen518038GuangdongPR China
| | - Feiqiu Wen
- Department of NeurologyShenzhen Children's HospitalNo. 7019 Yitian Road, Futian DistrictShenzhen518038GuangdongPR China
| | - Jianxiang Liao
- Department of NeurologyShenzhen Children's HospitalNo. 7019 Yitian Road, Futian DistrictShenzhen518038GuangdongPR China
| | - Zhuo Li
- Shenzhen A‐Smart Medical Research Center, Room 516Shenzhen Research Institute of the Chinese University of Hong Kong10, 2nd Yuexing Road, Nanshan DistrictShenzhen518000GuangdongChina
| | - Xinguo Lu
- Department of NeurologyShenzhen Children's HospitalNo. 7019 Yitian Road, Futian DistrictShenzhen518038GuangdongPR China
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18
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Tejedor JR, Soriano‐Sexto A, Beccari L, Castejón‐Fernández N, Correcher P, Sainz‐Ledo L, Alba‐Linares JJ, Urdinguio RG, Ugarte M, Fernández AF, Rodríguez‐Pombo P, Fraga MF, Pérez B. Integration of multi-omics layers empowers precision diagnosis through unveiling pathogenic mechanisms on maple syrup urine disease. J Inherit Metab Dis 2025; 48:e12829. [PMID: 39659154 PMCID: PMC11670297 DOI: 10.1002/jimd.12829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 11/15/2024] [Accepted: 11/19/2024] [Indexed: 12/12/2024]
Abstract
Maple syrup urine disease (MSUD) is a rare inherited metabolic disorder characterized by deficient activity of the branched-chain alpha-ketoacid dehydrogenase (BCKDH) complex, required to metabolize the amino acids leucine, isoleucine, and valine. Despite its profound metabolic implications, the molecular alterations underlying this metabolic impairment had not yet been completely elucidated. We performed a comprehensive multi-omics integration analysis, including genomic, epigenomic, and transcriptomic data from fibroblasts derived from a cohort of MSUD patients and unaffected controls to genetically characterize an MSUD case and to unravel the MSUD pathophysiology. MSUD patients exhibit a defined episignature that reshapes the global DNA methylation landscape, resulting in the stimulation of HOX cluster genes and the restriction of cell cycle gene-related signatures. Subsequent data integration revealed the impact of AP1-related and CEBPB transcription factors on the observed molecular reorganization, with MEIS1 emerging as a potential downstream candidate affected by robust epigenetic repression in MSUD patients. Furthermore, the integration of multi-omics layers facilitated the identification of a strong epigenetic repression in the DBT promoter in a patient wherein no BCKDH pathogenic variants had been detected. A Circular Chromatin Conformation Capture assay indicated a disturbance of the interactions of DBT promoter, thereby unveiling alternative modes of disease inheritance. Integration of multi-omics data unveiled underlying molecular networks rewired in MSUD patients and represents a powerful approach with diagnostic potential for rare genetic disorders with unknown genetic bases.
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Mostovoy Y, Boone PM, Huang Y, Garimella KV, Tan KT, Russell BE, Salani M, de Esch CEF, Lemanski J, Curall B, Hauenstein J, Lucente D, Bowers T, DeSmet T, Gabriel S, Morton CC, Meyerson M, Hastie AR, Gusella J, Quintero-Rivera F, Brand H, Talkowski ME. Resolution of ring chromosomes, Robertsonian translocations, and complex structural variants from long-read sequencing and telomere-to-telomere assembly. Am J Hum Genet 2024; 111:2693-2706. [PMID: 39520989 PMCID: PMC11639088 DOI: 10.1016/j.ajhg.2024.10.006] [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: 09/07/2023] [Revised: 10/04/2024] [Accepted: 10/09/2024] [Indexed: 11/16/2024] Open
Abstract
Delineation of structural variants (SVs) at sequence resolution in highly repetitive genomic regions has long been intractable. The sequence properties, origins, and functional effects of classes of genomic rearrangements such as ring chromosomes and Robertsonian translocations thus remain unknown. To resolve these complex structures, we leveraged several recent milestones in the field, including (1) the emergence of long-read sequencing, (2) the gapless telomere-to-telomere (T2T) assembly, and (3) a tool (BigClipper) to discover chromosomal rearrangements from long reads. We applied these technologies across 13 cases with ring chromosomes, Robertsonian translocations, and complex SVs that were unresolved by short reads, followed by validation using optical genome mapping (OGM). Our analyses resolved 10 of 13 cases, including a Robertsonian translocation and all ring chromosomes. Multiple breakpoints were localized to genomic regions previously recalcitrant to sequencing such as acrocentric p-arms, ribosomal DNA arrays, and telomeric repeats, and involved complex structures such as a deletion-inversion and interchromosomal dispersed duplications. We further performed methylation profiling from long-read data to discover phased differential methylation in a gene promoter proximal to a ring fusion, suggesting a long-range position effect (LRPE) with heterochromatin spreading. Breakpoint sequences suggested mechanisms of SV formation such as microhomology-mediated and non-homologous end-joining, as well as non-allelic homologous recombination. These methods provide some of the first glimpses into the sequence resolution of Robertsonian translocations and illuminate the structural diversity of ring chromosomes and complex chromosomal rearrangements with implications for genome biology, prediction of LRPEs from integrated multi-omics technologies, and molecular diagnostics in rare disease cases.
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Affiliation(s)
- Yulia Mostovoy
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Philip M Boone
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA 02115, USA
| | - Yongqing Huang
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Kiran V Garimella
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Kar-Tong Tan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Bianca E Russell
- Division of Genetics, Department of Pediatrics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Monica Salani
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Celine E F de Esch
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - John Lemanski
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Benjamin Curall
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA
| | | | - Diane Lucente
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Tera Bowers
- Genomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Tim DeSmet
- Genomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Stacey Gabriel
- Genomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Cynthia C Morton
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Departments of Obstetrics and Gynecology and of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Manchester Center for Audiology and Deafness, School of Health Sciences, University of Manchester, Manchester M13 9PL, UK
| | - Matthew Meyerson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | | | - James Gusella
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Fabiola Quintero-Rivera
- Departments of Pathology, Laboratory Medicine, and Pediatrics, Division of Genetic and Genomic Medicine, University of California, Irvine, Irvine, CA 92697, USA
| | - Harrison Brand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA; Pediatric Surgery Research Laboratory, Department of Pediatrics, Boston, MA 02114, USA
| | - Michael E Talkowski
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
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20
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Kovanda A, Miljanović O, Lovrečić L, Maver A, Hodžić A, Peterlin B. Value of Optical Genome Mapping (OGM) for Diagnostics of Rare Diseases: A Family Case Report. Balkan J Med Genet 2024; 27:87-93. [PMID: 40070862 PMCID: PMC11892940 DOI: 10.2478/bjmg-2024-0021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2025] Open
Abstract
Optical genome mapping (OGM) is a novel method enabling the detection of structural genomic variants. The method is based on the laser image acquisition of single, labeled, high-molecular-weight DNA molecules and can detect structural genomic variants such as translocations, inversions, insertions, deletions, duplications, and complex structural rearrangements. We aim to present our experience with OGM at the Clinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Slovenia. Since its introduction in 2021, we have used OGM for the testing of facioscapulohumeral muscular dystrophy 1, characterization and resolution of variants identified by other technologies such as microarrays, exome and genome next-generation sequencing, karyotyping, as well as testing of rare disease patients in whom no genetic cause could be identified using these methods. We present an example family case of two previously undiagnosed male siblings with an overlapping clinical presentation of thrombocytopenia, obesity, and presacral teratoma. After karyotyping, microarray analysis and next-generation sequencing, by using OGM, a maternally inherited cryptic translocation t(X;18)(q27.1;q12.2) was identified in both brothers. Despite an extended segregation analysis, based on strictly applied ACMG criteria and ClinGen guidelines, the identified translocation remains a variant of unknown significance. Despite the remaining limitations of OGM, which will hopefully be resolved by improvements in databases of known benign SV variation and the establishment of official guidelines on the clinical interpretation of OGM variants, our work highlights the complexity of the diagnostic journey, including this novel method, in rare disease cases.
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Affiliation(s)
- A Kovanda
- Clinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - O Miljanović
- Center for Medical Genetic and Immunology, Clinical Center of Montenegro, Podgorica, Montenegro
| | - L Lovrečić
- Clinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - A Maver
- Clinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - A Hodžić
- Clinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - B Peterlin
- Clinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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21
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Rodriguez-Gil JL, Nagy PL, Francke U. Optical genome mapping with genome sequencing identifies subtelomeric Xq28 deletion and inserted 7p22.3 duplication in a male with multisystem developmental disorder. Am J Med Genet A 2024; 194:e63814. [PMID: 39011850 DOI: 10.1002/ajmg.a.63814] [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] [Revised: 03/24/2024] [Accepted: 06/27/2024] [Indexed: 07/17/2024]
Abstract
We report a 17-year-old male with supravalvular stenosis, initial failure to thrive and delayed early development, short stature, acromelia, dysmorphic facial features, hypertelorism, macrocephaly, syringomyelia, hypertension, and anxiety disorder. Fluorescent in situ hybridization (FISH), chromosomal microarray analysis (CMA), and exome sequencing (ES) were nondiagnostic. Combined optical genome mapping (OGM) and genome sequencing (GS) showed a complex rearrangement including an X chromosome with a 22.5 kb deletion in band Xq28 replaced by a 61.4 kb insertion of duplicated chromosome 7p22.3 material. The deletion removes the distal 3' untranslated region (UTR) of FUNDC2, the entire CMC4 and MTCP1, and the first five exons of BRCC3. Transcriptome analysis revealed absent expression of CMC4 and MTCP1 and BRCC3 with normal transcript level of FUNDC2. The inserted duplication includes only one known gene: UNCX. Similar overlapping Xq28 deletions have been reported to be associated with Moyamoya disease (MMD), short stature, hypergonadotropic hypogonadism (HH), and facial dysmorphism. Although he has short stature, our patient does not have signs of Moyamoya arteriopathy or hypogonadism. The structurally abnormal X chromosome was present in his mother, but not in his unaffected brother, maternal uncle, or maternal grandparents. We propose that the combination of his absent Xq28 and duplicated 7p22.3 genomic material is responsible for his phenotype. This case highlights the potential of combined OGM and GS for detecting complex structural variants compared with standard of care genetic testing such as CMA and ES.
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Affiliation(s)
- Jorge L Rodriguez-Gil
- Department of Pediatrics, Division of Medical Genetics, Stanford University School of Medicine, Stanford, California, USA
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University, Stanford, California, USA
| | | | - Uta Francke
- Department of Pediatrics, Division of Medical Genetics, Stanford University School of Medicine, Stanford, California, USA
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De Clercq G, Vantomme L, Dewaele B, Callewaert B, Vanakker O, Janssens S, Loeys B, Strazisar M, De Coster W, Vermeesch JR, Dheedene A, Menten B. Full characterization of unresolved structural variation through long-read sequencing and optical genome mapping. Sci Rep 2024; 14:29142. [PMID: 39587234 PMCID: PMC11589705 DOI: 10.1038/s41598-024-80068-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: 07/20/2024] [Accepted: 11/14/2024] [Indexed: 11/27/2024] Open
Abstract
Structural variants (SVs) are important contributors to human disease. Their characterization remains however difficult due to their size and association with repetitive regions. Long-read sequencing (LRS) and optical genome mapping (OGM) can aid as their molecules span multiple kilobases and capture SVs in full. In this study, we selected six individuals who presented with unresolved SVs. We applied LRS onto all individuals and OGM to a subset of three complex cases. LRS detected and fully resolved the interrogated SV in all samples. This enabled a precise molecular diagnosis in two individuals. Overall, LRS identified 100% of the junctions at single-basepair level, providing valuable insights into their formation mechanisms without need for additional data sources. Application of OGM added straightforward variant phasing, aiding in the unravelment of complex rearrangements. These results highlight the potential of LRS and OGM as follow-up molecular tests for complete SV characterization. We show that they can assess clinically relevant structural variation at unprecedented resolution. Additionally, they detect (complex) cryptic rearrangements missed by conventional methods. This ultimately leads to an increased diagnostic yield, emphasizing their added benefit in a diagnostic setting. To aid their rapid adoption, we provide detailed laboratory and bioinformatics workflows in this manuscript.
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Affiliation(s)
- Griet De Clercq
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Center for Medical Genetics Ghent, Ghent University Hospital, Ghent, Belgium
| | - Lies Vantomme
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - Barbara Dewaele
- Center for Human Genetics Leuven, University Hospital Leuven, Leuven, Belgium
| | - Bert Callewaert
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Center for Medical Genetics Ghent, Ghent University Hospital, Ghent, Belgium
| | - Olivier Vanakker
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Center for Medical Genetics Ghent, Ghent University Hospital, Ghent, Belgium
| | - Sandra Janssens
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Center for Medical Genetics Ghent, Ghent University Hospital, Ghent, Belgium
| | - Bart Loeys
- Center for Medical Genetics Antwerp, University of Antwerp, Antwerp University Hospital, Antwerp, Belgium
| | - Mojca Strazisar
- Neuromics Support Facility, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Wouter De Coster
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
- Applied and Translational Neurogenomics Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
| | - Joris Robert Vermeesch
- Center for Human Genetics Leuven, University Hospital Leuven, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Annelies Dheedene
- Center for Medical Genetics Ghent, Ghent University Hospital, Ghent, Belgium
| | - Björn Menten
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.
- Center for Medical Genetics Ghent, Ghent University Hospital, Ghent, Belgium.
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23
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Ma X, Pang Q, Gong Y, Li X, Liu W, Jiang Y, Wang O, Li M, Xing X, Xia W. Identification of Rare and Novel PHEX Variants in X-linked Hypophosphatemia. J Clin Endocrinol Metab 2024; 109:3176-3185. [PMID: 38722819 DOI: 10.1210/clinem/dgae299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Indexed: 11/19/2024]
Abstract
CONTEXT X-linked hypophosphatemia (XLH) is a rare metabolic bone disease caused by inactivation mutations in the PHEX gene. Despite the extensive number of reported PHEX variants, only a few cases of chromosomal abnormalities have been documented. OBJECTIVE We aimed to identify the pathogenic variants in 6 unrelated families with a clinical diagnosis of XLH and to propose a genetic workflow for hypophosphatemia patients suspected of having XLH. METHODS Multiple genetic testing assays were used to analyze the 6 families' genetic profiles, including whole exome sequencing, multiplex ligation-dependent probe amplification, whole genome sequencing, reverse transcript polymerase chain reaction, Sanger sequencing, and karyotyping. RESULTS The study identified 6 novel pathogenic variants, including 1 mosaic variant (exon 16-22 deletion), 3 chromosomal abnormalities (46, XN, inv[X][pter→p22.11::q21.31→p22.11::q21.31 →qter], 46, XN, inv[X][p22.11p22.11], and XXY), a nonclassical intron variant (NM_000444.6, c.1701_31A > G), and a deletion variant (NM_000444.6, c.64_5464-186 del5215) of PHEX. Additionally, a genetic testing workflow was proposed to aid in diagnosing patients suspected of XLH. CONCLUSION Our research expands the mutation spectrum of PHEX and highlights the significance of using multiple genetic testing methods to diagnose XLH.
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Affiliation(s)
- Xiaosen Ma
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Qianqian Pang
- Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Yiyi Gong
- Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Xiang Li
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Wei Liu
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Yan Jiang
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Ou Wang
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Mei Li
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Xiaoping Xing
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Weibo Xia
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
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24
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Xie X, Xi X, Zhao D, Zhao Y, Yi T, Chen D, Liu R, Qi L, Pan Z, Wang H, Zhang H, Ding R, Du H. Advancing pathogen and tumor copy number variation detection through simultaneous metagenomic next-generation sequencing: A comprehensive review. Heliyon 2024; 10:e38826. [PMID: 39568836 PMCID: PMC11577201 DOI: 10.1016/j.heliyon.2024.e38826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2024] [Revised: 09/19/2024] [Accepted: 09/30/2024] [Indexed: 11/22/2024] Open
Abstract
In clinical practice, timely and accurate diagnosis can effectively reduce unnecessary treatment, avoid high medical costs, and prevent adverse prognoses. However, some patients with malignant tumors and those with infection often exhibit similar symptoms, which are difficult to distinguish, posing challenges in accurate clinical diagnosis. Metagenomic next-generation sequencing (mNGS) technology has been widely applied to confirm the source of infection. Recent studies have shown that for pathogen detection, mNGS technology can be used to perform chromosomal copy number variations (CNVs) analysis in two different analytical pipelines using the same wet test. mNGS technology has further demonstrated its utility in not only the determination of pathogenic microorganisms but also of CNVs, thereby facilitating early differential diagnosis for malignant tumors. In this review, we aim to analyze the diagnostic performance of mNGS technology in the simultaneous detection of pathogenic microorganisms and CNVs in current clinical practice and discuss the advantages and limitations of mNGS-CNV dual-omics detection technology. Our review highlights the need for more large-scale prospective research data on current mNGS-CNV dual-omics detection technology to provide more evidence-based results for researchers and clinicians and to promote the greater role of this technology in future clinical practice.
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Affiliation(s)
- Xiaofang Xie
- Department of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, China
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College, Soochow University, China
| | - Xiaotong Xi
- Jiangsu Simcere Diagnostics Co., Ltd., Nanjing Simcere Medical Laboratory Science Co., Ltd., The State Key Laboratory of Neurology and Oncology Drug Development, Nanjing, China
- Cancer Center, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Dan Zhao
- Department of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, China
| | - Yingyue Zhao
- Jiangsu Simcere Diagnostics Co., Ltd., Nanjing Simcere Medical Laboratory Science Co., Ltd., The State Key Laboratory of Neurology and Oncology Drug Development, Nanjing, China
- Cancer Center, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Tiantian Yi
- Department of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, China
| | - Dongsheng Chen
- Jiangsu Simcere Diagnostics Co., Ltd., Nanjing Simcere Medical Laboratory Science Co., Ltd., The State Key Laboratory of Neurology and Oncology Drug Development, Nanjing, China
- Cancer Center, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Rui Liu
- Department of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, China
| | - Lin Qi
- Department of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, China
| | - Zhen Pan
- Department of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, China
| | - Hongqiu Wang
- Department of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, China
| | - Haifang Zhang
- Department of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, China
| | - Ran Ding
- Jiangsu Simcere Diagnostics Co., Ltd., Nanjing Simcere Medical Laboratory Science Co., Ltd., The State Key Laboratory of Neurology and Oncology Drug Development, Nanjing, China
- Cancer Center, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Hong Du
- Department of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, China
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25
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Zhang Y, Du Q, Gao H, Pan Y, Liu N, Qiu C, Liu X. Prenatal risk assessment of Xp21.1 duplication involving the DMD gene by optical genome mapping. Life Sci Alliance 2024; 7:e202402780. [PMID: 39117454 PMCID: PMC11310561 DOI: 10.26508/lsa.202402780] [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: 04/18/2024] [Revised: 08/01/2024] [Accepted: 08/01/2024] [Indexed: 08/10/2024] Open
Abstract
Structural variants (SVs) of unknown significance are great challenges for prenatal risk assessment, especially when involving dose-sensitive genes such as DMD The pathogenicities of 5'-terminal DMD duplications in the database remain controversial. Four prenatal cases with Xp21.1 duplications were identified by routine prenatal genomic testing, encompassing the 5'-UTR to exons 1-2 in family 1 and family 2, and to exons 1-9 in family 3. The duplication in family 4 was non-contiguous covering the 5'-UTR to exon 1 and exons 3-7. All were traced to unaffected males in the family pedigrees. A new genome-wide approach of optical genome mapping was performed in families 1, 2, and 3 to delineate the breakpoints and orientation of the duplicated fragments. The extra copies were tandemly inserted into the upstream of DMD, preserving the integrity of ORF from the second copy. The pathogenicities were thus reclassified as likely benign. Our data highlight the importance of structural delineation by optical genome mapping in prenatal risk assessment of incidentally identified SVs involving DMD and other similar large dose-sensitive genes.
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Affiliation(s)
- Yuanyuan Zhang
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qiang Du
- Center of Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China
| | - Haiming Gao
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yujie Pan
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ningyang Liu
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China
| | - Chuang Qiu
- Department of Orthopedics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiaoliang Liu
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Reproductive Health, Liaoning Research Institute of Reproductive Health and Development, Reproductive Hospital of China Medical University, Shenyang, China
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26
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Moustakli E, Gkountis A, Dafopoulos S, Zikopoulos A, Sotiriou S, Zachariou A, Dafopoulos K. Comparative Analysis of Fluorescence In Situ Hybridization and Next-Generation Sequencing in Sperm Evaluation: Implications for Preimplantation Genetic Testing and Male Infertility. Int J Mol Sci 2024; 25:11296. [PMID: 39457078 PMCID: PMC11508275 DOI: 10.3390/ijms252011296] [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: 08/26/2024] [Revised: 10/02/2024] [Accepted: 10/19/2024] [Indexed: 10/28/2024] Open
Abstract
Pre-implantation genetic testing (PGT) is a crucial process for selecting embryos created through assisted reproductive technology (ART). Couples with chromosomal rearrangements, infertility, recurrent miscarriages, advanced maternal age, known single-gene disorders, a family history of genetic conditions, previously affected pregnancies, poor embryo quality, or congenital anomalies may be candidates for PGT. Preimplantation genetic testing for aneuploidies (PGT-A) enables the selection and transfer of euploid embryos, significantly enhancing implantation rates in assisted reproduction. Fluorescence in situ hybridization (FISH) is the preferred method for analyzing biopsied cells to identify these abnormalities. While FISH is a well-established method for identifying sperm aneuploidy, NGS offers a more comprehensive assessment of genetic material, potentially enhancing our understanding of male infertility. Chromosomal abnormalities, arising during meiosis, can lead to aneuploid sperm, which may hinder embryo implantation and increase miscarriage rates. This review provides a comparative analysis of fluorescence in situ hybridization (FISH) and next-generation sequencing (NGS) in sperm evaluations, focusing on their implications for preimplantation genetic testing. This analysis explores the strengths and limitations of FISH and NGS, aiming to elucidate their roles in improving ART outcomes and reducing the risk of genetic disorders in offspring. Ultimately, the findings will inform best practices in sperm evaluations and preimplantation genetic testing strategies.
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Affiliation(s)
- Efthalia Moustakli
- Laboratory of Medical Genetics, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece;
| | - Antonios Gkountis
- Genesis Athens Thessaly, Centre for Human Reproduction, 41335 Larissa, Greece;
| | - Stefanos Dafopoulos
- Department of Health Sciences, European University Cyprus, 2404 Nicosia, Cyprus;
| | | | - Sotirios Sotiriou
- Department of Embryology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece;
| | - Athanasios Zachariou
- Department of Urology, School of Medicine, Ioannina University, 45110 Ioannina, Greece;
| | - Konstantinos Dafopoulos
- Department of Obstetrics and Gynecology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece
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Parmar JM, Laing NG, Kennerson ML, Ravenscroft G. Genetics of inherited peripheral neuropathies and the next frontier: looking backwards to progress forwards. J Neurol Neurosurg Psychiatry 2024; 95:992-1001. [PMID: 38744462 PMCID: PMC11503175 DOI: 10.1136/jnnp-2024-333436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 04/10/2024] [Indexed: 05/16/2024]
Abstract
Inherited peripheral neuropathies (IPNs) encompass a clinically and genetically heterogeneous group of disorders causing length-dependent degeneration of peripheral autonomic, motor and/or sensory nerves. Despite gold-standard diagnostic testing for pathogenic variants in over 100 known associated genes, many patients with IPN remain genetically unsolved. Providing patients with a diagnosis is critical for reducing their 'diagnostic odyssey', improving clinical care, and for informed genetic counselling. The last decade of massively parallel sequencing technologies has seen a rapid increase in the number of newly described IPN-associated gene variants contributing to IPN pathogenesis. However, the scarcity of additional families and functional data supporting variants in potential novel genes is prolonging patient diagnostic uncertainty and contributing to the missing heritability of IPNs. We review the last decade of IPN disease gene discovery to highlight novel genes, structural variation and short tandem repeat expansions contributing to IPN pathogenesis. From the lessons learnt, we provide our vision for IPN research as we anticipate the future, providing examples of emerging technologies, resources and tools that we propose that will expedite the genetic diagnosis of unsolved IPN families.
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Affiliation(s)
- Jevin M Parmar
- Rare Disease Genetics and Functional Genomics, Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia
- Centre for Medical Research, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia
| | - Nigel G Laing
- Centre for Medical Research, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia
- Preventive Genetics, Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia
| | - Marina L Kennerson
- Northcott Neuroscience Laboratory, ANZAC Research Institute, Concord, New South Wales, Australia
- Molecular Medicine Laboratory, Concord Hospital, Concord, New South Wales, Australia
| | - Gianina Ravenscroft
- Rare Disease Genetics and Functional Genomics, Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia
- Centre for Medical Research, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia
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Sagath L, Kiiski K, Naidu K, Patel K, Jonson PH, Laarne M, Djordjevic D, Yoon G, LaGroon A, Rogers C, Galindo MK, Scherer K, Kunstmann E, Koparir E, Ho D, Davis M, Joshi P, Zygmunt A, Orbach R, Donkervoort S, Bönnemann CG, Savarese M, Echaniz-Laguna A, Biancalana V, Genetti CA, Iannaccone ST, Beggs AH, Wallgren-Pettersson C, Henning F, Pelin K, Lehtokari VL. Structural variation in nebulin and its implications on phenotype and inheritance: establishing a dominant distal phenotype caused by large deletions. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.10.04.24313542. [PMID: 39802796 PMCID: PMC11722492 DOI: 10.1101/2024.10.04.24313542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2025]
Abstract
Introduction Structural variants (SVs) of the nebulin gene (NEB), including intragenic duplications, deletions, and copy number variation of the triplicate region, are an established cause of recessively inherited nemaline myopathies and related neuromuscular disorders. Large deletions have been shown to cause dominantly inherited distal myopathies. Here we provide an overview of 35 families with muscle disorders caused by such SVs in NEB. Methods Using custom Comparative Genomic Hybridization arrays, exome sequencing, short-read genome sequencing, custom Droplet Digital PCR, or Sanger sequencing, we identified pathogenic SVs in 35 families with NEB-related myopathies. Results In 23 families, recessive intragenic deletions and duplications or pathogenic gains of the triplicate region segregating with the disease in compound heterozygous form, together with a small variant in trans, were identified. In two families the SV was, however, homozygous. Eight families have not been described previously. In 12 families with a distal myopathy phenotype, eight unique, large deletions encompassing 52 to 97 exons in either heterozygous (n = 10) or mosaic (n = 2) state were identified.In the families where inheritance was recessive, no correlation could be made between the types of variants and the severity of the disease. In contrast, all patients with large dominant deletions in NEB had milder, predominantly distal muscle weakness. Discussion For the first time, we establish a clear and statistically significant association between large NEB deletions and a form of distal myopathy. In addition, we provide the hitherto largest overview of the spectrum of SVs in NEB.
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Affiliation(s)
- Lydia Sagath
- Folkhälsan Research Center, Helsinki, Finland
- Department of Medical Genetics, Medicum, University of Helsinki, Finland
| | - Kirsi Kiiski
- Folkhälsan Research Center, Helsinki, Finland
- Laboratory of Genetics, Division of Genetics and Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Kireshnee Naidu
- Division of Neurology, Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Krutik Patel
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, United Kingdom
| | - Per Harald Jonson
- Folkhälsan Research Center, Helsinki, Finland
- Department of Medical Genetics, Medicum, University of Helsinki, Finland
| | - Milla Laarne
- Folkhälsan Research Center, Helsinki, Finland
- Department of Medical Genetics, Medicum, University of Helsinki, Finland
| | - Djurdja Djordjevic
- Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Grace Yoon
- Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Canada
- Division of Clinical and Metabolic Genetics, Department of Paediatrics, University of Toronto, The Hospital for Sick Children, Toronto, Canada
| | - Anna LaGroon
- Greenville Office Greenwood Genetic Center, Greenville, SC, USA
| | - Curtis Rogers
- Greenville Office Greenwood Genetic Center, Greenville, SC, USA
| | | | - Katalin Scherer
- Department of Neurology, University of Arizona, Tucson, AZ, USA
| | - Erdmute Kunstmann
- Praxis für Humangenetik, Julius-Maximilians-University Würzburg, Germany
| | - Erkan Koparir
- Institute for Human Genetics, Biocenter, Julius-Maximilians-University Würzburg, Würzburg, Germany
| | - Desirée Ho
- Department of Diagnostic Genomics, PathWest Laboratory Medicine WA, Nedlands WA 6008, Australia
| | - Mark Davis
- Department of Diagnostic Genomics, PathWest Laboratory Medicine WA, Nedlands WA 6008, Australia
| | - Purwa Joshi
- Department of Neurology, Wellington Regional Hospital, Wellington, New Zealand
| | - Alexander Zygmunt
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Rotem Orbach
- Neuromuscular and Neurogenetic Disorders of Childhood Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Sandra Donkervoort
- Neuromuscular and Neurogenetic Disorders of Childhood Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Carsten G. Bönnemann
- Neuromuscular and Neurogenetic Disorders of Childhood Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Marco Savarese
- Folkhälsan Research Center, Helsinki, Finland
- Department of Medical Genetics, Medicum, University of Helsinki, Finland
| | - Andoni Echaniz-Laguna
- Department of Neurology, APHP, CHU de Bicêtre, Le Kremlin-Bicêtre, 94275, France
- French National Reference Center for Rare Neuropathies (CERAMIC), Le Kremlin-Bicêtre, 94275, France
- INSERM U1195, Paris-Saclay University, Le Kremlin-Bicêtre, 94276, France
| | - Valérie Biancalana
- Laboratoire de Diagnostic Génétique CHRU de Strasbourg, Strasbourg, France
| | - Casie A. Genetti
- The Manton Center for Orphan Disease Research, Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Susan T. Iannaccone
- Department of Pediatrics and Neurology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Alan H. Beggs
- The Manton Center for Orphan Disease Research, Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Carina Wallgren-Pettersson
- Folkhälsan Research Center, Helsinki, Finland
- Department of Medical Genetics, Medicum, University of Helsinki, Finland
| | - Franclo Henning
- Division of Neurology, Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Katarina Pelin
- Folkhälsan Research Center, Helsinki, Finland
- Department of Medical Genetics, Medicum, University of Helsinki, Finland
- Molecular and Integrative Biosciences Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Vilma-Lotta Lehtokari
- Folkhälsan Research Center, Helsinki, Finland
- Department of Medical Genetics, Medicum, University of Helsinki, Finland
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Levy B, Liu J, Iqbal MA, DuPont B, Sahajpal N, Ho M, Yu J, Brody SJ, Ganapathi M, Rajkovic A, Smolarek TA, Boyar F, Bui P, Dubuc AM, Kolhe R, Stevenson RE. Multisite Evaluation and Validation of Optical Genome Mapping for Prenatal Genetic Testing. J Mol Diagn 2024; 26:906-916. [PMID: 39032820 DOI: 10.1016/j.jmoldx.2024.06.006] [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: 06/12/2023] [Revised: 05/07/2024] [Accepted: 06/26/2024] [Indexed: 07/23/2024] Open
Abstract
Prenatal diagnostic testing of amniotic fluid, chorionic villi, or more rarely, fetal cord blood is recommended following a positive or unreportable noninvasive cell-free fetal DNA test, abnormal maternal biochemical serum screen, abnormal ultrasound, or increased genetic risk for a cytogenomic abnormality based on family history. Although chromosomal microarray is recommended as the first-tier prenatal diagnostic test, in practice, multiple assays are often assessed in concert to achieve a final diagnostic result. The use of multiple methodologies is costly, time consuming, and labor intensive. Optical genome mapping (OGM) is an emerging technique with application for prenatal diagnosis because of its ability to detect and resolve, in a single assay, all classes of pathogenic cytogenomic aberrations. In an effort to characterize the potential of OGM as a novel alternative to traditional standard of care (SOC) testing of prenatal samples, OGM was performed on a total of 200 samples representing 123 unique cases, which were previously tested with SOC methods (92/123 = 74.7% cases tested with at least two SOCs). OGM demonstrated an overall accuracy of 99.6% when compared with SOC methods, a positive predictive value of 100%, and 100% reproducibility between sites, operators, and instruments. The standardized workflow, cost-effectiveness, and high-resolution cytogenomic analysis demonstrate the potential of OGM to serve as a first-tier test for prenatal diagnosis.
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Affiliation(s)
- Brynn Levy
- Columbia University Irving Medical Center, New York, New York
| | - Jie Liu
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
| | - M Anwar Iqbal
- University of Rochester Medical Center, Rochester, New York
| | | | | | - Monique Ho
- University of Rochester Medical Center, Rochester, New York
| | - Jingwei Yu
- University of California San Francisco, San Francisco, California
| | - Sam J Brody
- Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | | | | | - Teresa A Smolarek
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
| | - Fatih Boyar
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California
| | - Peter Bui
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California
| | - Adrian M Dubuc
- Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Ravindra Kolhe
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, Georgia.
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Zarouchlioti C, Efthymiou S, Facchini S, Dominik N, Bhattacharyya N, Liu S, Costa MA, Szabo A, Sadan AN, Jun AS, Bugiardini E, Houlden H, Cortese A, Skalicka P, Dudakova L, Muthusamy K, Cheetham ME, Hardcastle AJ, Liskova P, Tuft SJ, Davidson AE. Tissue-specific TCF4 triplet repeat instability revealed by optical genome mapping. EBioMedicine 2024; 108:105328. [PMID: 39278108 PMCID: PMC11419830 DOI: 10.1016/j.ebiom.2024.105328] [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: 05/08/2024] [Revised: 08/22/2024] [Accepted: 08/27/2024] [Indexed: 09/17/2024] Open
Abstract
BACKGROUND Fuchs endothelial corneal dystrophy (FECD) is the most common repeat-mediated disease in humans. It exclusively affects corneal endothelial cells (CECs), with ≤81% of cases associated with an intronic TCF4 triplet repeat (CTG18.1). Here, we utilise optical genome mapping (OGM) to investigate CTG18.1 tissue-specific instability to gain mechanistic insights. METHODS We applied OGM to a diverse range of genomic DNAs (gDNAs) from patients with FECD and controls (n = 43); CECs, leukocytes and fibroblasts. A bioinformatics pipeline was developed to robustly interrogate CTG18.1-spanning DNA molecules. All results were compared with conventional polymerase chain reaction-based fragment analysis. FINDINGS Analysis of bio-samples revealed that expanded CTG18.1 alleles behave dynamically, regardless of cell-type origin. However, clusters of CTG18.1 molecules, encompassing ∼1800-11,900 repeats, were exclusively detected in diseased CECs from expansion-positive cases. Additionally, both progenitor allele size and age were found to influence the level of leukocyte-specific CTG18.1 instability. INTERPRETATION OGM is a powerful tool for analysing somatic instability of repeat loci and reveals here the extreme levels of CTG18.1 instability occurring within diseased CECs underpinning FECD pathophysiology, opening up new therapeutic avenues for FECD. Furthermore, these findings highlight the broader translational utility of FECD as a model for developing therapeutic strategies for rarer diseases similarly attributed to somatically unstable repeats. FUNDING UK Research and Innovation, Moorfields Eye Charity, Fight for Sight, Medical Research Council, NIHR BRC at Moorfields Eye Hospital and UCL Institute of Ophthalmology, Grantová Agentura České Republiky, Univerzita Karlova v Praze, the National Brain Appeal's Innovation Fund and Rosetrees Trust.
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Affiliation(s)
| | - Stephanie Efthymiou
- UCL Queen Square Institute of Neurology, Department of Neuromuscular Diseases, London, UK
| | - Stefano Facchini
- UCL Queen Square Institute of Neurology, Department of Neuromuscular Diseases, London, UK
| | - Natalia Dominik
- UCL Queen Square Institute of Neurology, Department of Neuromuscular Diseases, London, UK
| | | | - Siyin Liu
- UCL Institute of Ophthalmology, London, UK; Moorfields Eye Hospital, London, UK
| | | | | | | | - Albert S Jun
- Cornea, Cataract, and External Disease Division, Wilmer Eye Institute, Johns Hopkins Medicine, Baltimore, USA
| | - Enrico Bugiardini
- UCL Queen Square Institute of Neurology, Department of Neuromuscular Diseases, London, UK
| | - Henry Houlden
- UCL Queen Square Institute of Neurology, Department of Neuromuscular Diseases, London, UK
| | - Andrea Cortese
- UCL Queen Square Institute of Neurology, Department of Neuromuscular Diseases, London, UK
| | - Pavlina Skalicka
- 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
| | - Lubica Dudakova
- Department of Paediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | | | | | | | - 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
| | - Stephen J Tuft
- UCL Institute of Ophthalmology, London, UK; Moorfields Eye Hospital, London, UK
| | - Alice E Davidson
- UCL Institute of Ophthalmology, London, UK; Moorfields Eye Hospital, London, UK.
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Xiao B, Luo X, Liu Y, Ye H, Liu H, Fan Y, Yu Y. Combining optical genome mapping and RNA-seq for structural variants detection and interpretation in unsolved neurodevelopmental disorders. Genome Med 2024; 16:113. [PMID: 39300495 DOI: 10.1186/s13073-024-01382-9] [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: 03/11/2024] [Accepted: 09/13/2024] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND Structural variations (SVs) are key genetic contributors to neurodevelopmental disorders (NDDs). Exome sequencing (ES), the current first-line tool for genetic testing of NDDs, falls short in SVs detection. This diagnostic gap is being actively addressed by new methods such as optical genome mapping (OGM). METHODS This study evaluated the utility of combining OGM and RNA-seq in the detection and interpretation of SVs in ES-negative NDDs. OGM was performed in 43 patients with NDDs with inconclusive ES results. Candidate SVs were selected based on disease association and pathogenicity evaluation, and further validated or reconstructed by alternative methods, including long-read sequencing for a complex rearrangement event. RNA-Seq was performed on blood samples from patients with candidate SVs to facilitate interpretation of pathogenicity. RESULTS OGM detected four candidate SVs, and RNA-seq confirmed the pathogenicity of three SVs in the patient cohort. This combined approach solved three cases-two cases with de novo SVs in genes associated with autosomal dominant NDDs, including a deletion encompassing the promoter and 5'UTR of MBD5 and an intragenic duplication of PAFAH1B1, and a third case possessing an intragenic duplication in trans with a pathogenic single-nucleotide variant of PLA2G6, associated with autosomal recessive NDDs. The expression alteration of the affected genes and the tandem positioning of two intragenic duplications were confirmed by RNA-seq. In the fourth case, OGM detected a complex rearrangement involving chromosomes 2 and 6, much more complex than the de novo t(2:6)(q13;q15) indicated by conventional cytogenetic analysis. Reconstruction showed that 17 segments of 6q15 spanning 9.3 Mb were disarranged and joined 2q11.2, with four breakpoints detected in the 5' and 3' non-coding region of the NDD-associated gene SYNCRIP. RNA-seq revealed largely preserved SYNCRIP expression, leaving the pathogenicity of this complex rearrangement event uncertain. CONCLUSIONS SVs in ES-negative NDDs can be identified by OGM, which is particularly useful for SVs in non-coding regions not covered by ES. OGM helps to construct complex SVs and provides information on the location and orientation of duplications, which is crucial for pathogenicity interpretation. The integration of RNA-seq facilitates the interpretation of the functional consequences of SVs at the transcriptional level. These findings demonstrate the utility and feasibility of combining OGM and RNA-seq in ES-negative cases with NDDs.
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Affiliation(s)
- Bing Xiao
- Department of Pediatric Endocrinology and Genetic Metabolism, Science and Education Building, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Institute for Pediatric Research, Room 801, No.1665, Kong Jiang Road, Shanghai, 200092, China
| | - Xiaomei Luo
- Department of Pediatric Endocrinology and Genetic Metabolism, Science and Education Building, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Institute for Pediatric Research, Room 801, No.1665, Kong Jiang Road, Shanghai, 200092, China
| | - Yi Liu
- Department of Pediatric Endocrinology and Genetic Metabolism, Science and Education Building, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Institute for Pediatric Research, Room 801, No.1665, Kong Jiang Road, Shanghai, 200092, China
| | - Hui Ye
- Department of Pediatric Endocrinology and Genetic Metabolism, Science and Education Building, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Institute for Pediatric Research, Room 801, No.1665, Kong Jiang Road, Shanghai, 200092, China
| | - Huili Liu
- Department of Pediatric Endocrinology and Genetic Metabolism, Science and Education Building, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Institute for Pediatric Research, Room 801, No.1665, Kong Jiang Road, Shanghai, 200092, China
| | - Yanjie Fan
- Department of Pediatric Endocrinology and Genetic Metabolism, Science and Education Building, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Institute for Pediatric Research, Room 801, No.1665, Kong Jiang Road, Shanghai, 200092, China.
| | - Yongguo Yu
- Department of Pediatric Endocrinology and Genetic Metabolism, Science and Education Building, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Institute for Pediatric Research, Room 801, No.1665, Kong Jiang Road, Shanghai, 200092, China.
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Ma Y, Gui C, Shi M, Wei L, He J, Xie B, Zheng H, Lei X, Wei X, Cheng Z, Zhou X, Chen S, Luo J, Huang Y, Gui B. The cryptic complex rearrangements involving the DMD gene: etiologic clues about phenotypical differences revealed by optical genome mapping. Hum Genomics 2024; 18:103. [PMID: 39285482 PMCID: PMC11406873 DOI: 10.1186/s40246-024-00653-1] [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: 05/29/2024] [Accepted: 08/05/2024] [Indexed: 09/19/2024] Open
Abstract
BACKGROUND Deletion or duplication in the DMD gene is one of the most common causes of Duchenne and Becker muscular dystrophy (DMD/BMD). However, the pathogenicity of complex rearrangements involving DMD, especially segmental duplications with unknown breakpoints, is not well understood. This study aimed to evaluate the structure, pattern, and potential impact of rearrangements involving DMD duplication. METHODS Two families with DMD segmental duplications exhibiting phenotypical differences were recruited. Optical genome mapping (OGM) was used to explore the cryptic pattern of the rearrangements. Breakpoints were validated using long-range polymerase chain reaction combined with next-generation sequencing and Sanger sequencing. RESULTS A multi-copy duplication involving exons 64-79 of DMD was identified in Family A without obvious clinical symptoms. Family B exhibited typical DMD neuromuscular manifestations and presented a duplication involving exons 10-13 of DMD. The rearrangement in Family A involved complex in-cis tandem repeats shown by OGM but retained a complete copy (reading frame) of DMD inferred from breakpoint validation. A reversed insertion with a segmental repeat was identified in Family B by OGM, which was predicted to disrupt the normal structure and reading frame of DMD after confirming the breakpoints. CONCLUSIONS Validating breakpoint and rearrangement pattern is crucial for the functional annotation and pathogenic classification of genomic structural variations. OGM provides valuable insights into etiological analysis of DMD/BMD and enhances our understanding for cryptic effects of complex rearrangements.
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Affiliation(s)
- Yunting Ma
- The Second School of Medicine, Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Chunrong Gui
- Center for Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Meizhen Shi
- Center for Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Lilin Wei
- Department of Obstetrics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Junfang He
- Department of Rehabilitation Medicine, The Second Affiliated Hospital of Guilin Medical University, No. 212, Renmin Road, Lingui District, Guilin, Guangxi Zhuang Autonomous Region, 541100, China
| | - Bobo Xie
- Center for Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Haiyang Zheng
- Center for Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Xiaoyun Lei
- Center for Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Xianda Wei
- Center for Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Zifeng Cheng
- The Second School of Medicine, Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Xu Zhou
- The Second School of Medicine, Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Shaoke Chen
- Department of Pediatrics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Jiefeng Luo
- The Second School of Medicine, Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
- Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
| | - Yan Huang
- The Second School of Medicine, Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
- Department of Obstetrics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
| | - Baoheng Gui
- The Second School of Medicine, Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
- Center for Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
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Ohori S, Numabe H, Mitsuhashi S, Tsuchida N, Uchiyama Y, Koshimizu E, Hamanaka K, Misawa K, Miyatake S, Mizuguchi T, Fujita A, Matsumoto N. Complex chromosomal 6q rearrangements revealed by combined long-molecule genomics technologies. Genomics 2024; 116:110894. [PMID: 39019410 DOI: 10.1016/j.ygeno.2024.110894] [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: 03/17/2024] [Revised: 06/19/2024] [Accepted: 07/13/2024] [Indexed: 07/19/2024]
Abstract
Technologies for detecting structural variation (SV) have advanced with the advent of long-read sequencing, which enables the validation of SV at a nucleotide level. Optical genome mapping (OGM), a technology based on physical mapping, can also provide comprehensive SVs analysis. We applied long-read whole genome sequencing (LRWGS) to accurately reconstruct breakpoint (BP) segments in a patient with complex chromosome 6q rearrangements that remained elusive by conventional karyotyping. Although all BPs were precisely identified by LRWGS, there were two possible ways to construct the BP segments in terms of their orders and orientations. Thus, we also used OGM analysis. Notably, OGM recognized entire inversions exceeding 500 kb in size, which LRWGS could not characterize. Consequently, here we successfully unveil the full genomic structure of this complex chromosomal 6q rearrangement and cryptic SVs through combined long-molecule genomic analyses, showcasing how LRWGS and OGM can complement each other in SV analysis.
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Affiliation(s)
- Sachiko Ohori
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan; Department of Genetics, Kitasato University Hospital, Sagamihara 252-0375, Japan
| | - Hironao Numabe
- Department of Pediatrics, Tokyo Metropolitan Kita Medical Rehabilitation Center for the Handicapped, Kita-ku, Tokyo, 114-0033, Japan
| | - Satomi Mitsuhashi
- Department of Neurology, St.Marianna University School of Medicine Hospital, Kawasaki 216-8511, Japan
| | - Naomi Tsuchida
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan; Department of Rare Disease Genomics, Yokohama City University Hospital, Yokohama 236-0004, Japan
| | - Yuri Uchiyama
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan; Department of Rare Disease Genomics, Yokohama City University Hospital, Yokohama 236-0004, Japan
| | - Eriko Koshimizu
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Kohei Hamanaka
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Kazuharu Misawa
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan; RIKEN Center for Advanced Intelligence Project, Chuo-ku, Tokyo 103-0027, Japan
| | - Satoko Miyatake
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan; Department of Clinical Genetics, Yokohama City University Hospital, Yokohama 236-0004, Japan
| | - Takeshi Mizuguchi
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Atsushi Fujita
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Naomichi Matsumoto
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan; Department of Rare Disease Genomics, Yokohama City University Hospital, Yokohama 236-0004, Japan; Department of Clinical Genetics, Yokohama City University Hospital, Yokohama 236-0004, Japan.
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Lee ST. Application of Optical Genome Mapping to the Genetic Diagnosis of Facioscapulohumeral Muscular Dystrophy 1. Ann Lab Med 2024; 44:383-384. [PMID: 38845487 PMCID: PMC11169772 DOI: 10.3343/alm.2024.0197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2024] Open
Affiliation(s)
- Seung-Tae Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
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Rahikkala E, Komulainen‐Ebrahim J, Tolonen J, Vorimo S, Suo‐Palosaari M, Vieira P, Piispala J, Uusimaa J, Pylkäs K, Mantere T. Optical Genome Mapping Identifies a Second Xq27.1 Rearrangement Associated With Charcot-Marie-Tooth Neuropathy CMTX3. Mol Genet Genomic Med 2024; 12:e70014. [PMID: 39305100 PMCID: PMC11415608 DOI: 10.1002/mgg3.70014] [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: 04/25/2024] [Revised: 08/20/2024] [Accepted: 09/10/2024] [Indexed: 01/26/2025] Open
Abstract
BACKGROUND X-linked recessive type 3 Charcot-Marie-Tooth (CMTX3) is a rare subtype of childhood-onset CMT. To date, all reported CMTX3 patients share a common founder 78 kb insertion from chromosome 8 into the Xq27.1 palindrome region. METHODS We conducted patient-parent trio optical genome mapping (OGM) on a male patient presenting with clinically diagnosed Dejerine-Sottas disease for whom initial standard diagnostic genetic tests, including whole-genome sequencing (WGS), yielded negative results. RESULTS OGM analysis revealed a maternally inherited interchromosomal insertion from chromosome region 7q31.1 into Xq27.1. Coupled with manual reassessment of WGS data, this confirmed the molecular diagnosis of atypical CMTX3 and showed that the 122.4 kb inserted fragment contained DLD and partially LAMB1. Subsequent analyses confirmed that the rearrangement had arisen de novo in the proband's mother. CONCLUSION We report the second Xq27.1 rearrangement associated with CMTX3, providing novel clinical insights into its phenotypic and genotypic spectrum. Our findings highlight the importance of including genomic rearrangement analysis of Xq27.1 in standard diagnostic pipelines for childhood-onset CMT. Given the overlap in polyneuropathy phenotypes resulting from insertions from chromosomes 7 and 8 into the same Xq27.1 palindrome region, the pathogenic mechanism underlying peripheral neuropathy in CMTX3 likely involves dysregulation of genes within this region.
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Affiliation(s)
- Elisa Rahikkala
- Department of GenomicsTurku University HospitalTurkuFinland
- Research Unit of Clinical Medicine and Medical Research Center OuluOulu University Hospital and University of OuluOuluFinland
| | - Jonna Komulainen‐Ebrahim
- Research Unit of Clinical Medicine and Medical Research Center OuluOulu University Hospital and University of OuluOuluFinland
- Division of Pediatric Neurology, Department of Children and AdolescentsOulu University HospitalOuluFinland
| | - Jussi‐Pekka Tolonen
- Research Unit of Clinical Medicine and Medical Research Center OuluOulu University Hospital and University of OuluOuluFinland
- Division of Pediatric Neurology, Department of Children and AdolescentsOulu University HospitalOuluFinland
| | - Sandra Vorimo
- Laboratory of Cancer Genetics and Tumor Biology, Translational Medicine Research Unit, Medical Research Center Oulu and Biocenter OuluUniversity of OuluOuluFinland
| | - Maria Suo‐Palosaari
- Department of Diagnostic Radiology, Physics and TechnologyResearch Unit of Health Sciences and TechnologyUniversity of OuluOuluFinland
- Medical Research Center OuluOulu University Hospital and University of OuluOuluFinland
| | - Päivi Vieira
- Research Unit of Clinical Medicine and Medical Research Center OuluOulu University Hospital and University of OuluOuluFinland
- Division of Pediatric Neurology, Department of Children and AdolescentsOulu University HospitalOuluFinland
| | - Johanna Piispala
- Department of Clinical NeurophysiologyOulu University HospitalOuluFinland
| | - Johanna Uusimaa
- Research Unit of Clinical Medicine and Medical Research Center OuluOulu University Hospital and University of OuluOuluFinland
- Division of Pediatric Neurology, Department of Children and AdolescentsOulu University HospitalOuluFinland
| | - Katri Pylkäs
- Laboratory of Cancer Genetics and Tumor Biology, Translational Medicine Research Unit, Medical Research Center Oulu and Biocenter OuluUniversity of OuluOuluFinland
- Northern Finland Laboratory Centre NordlabOuluFinland
| | - Tuomo Mantere
- Laboratory of Cancer Genetics and Tumor Biology, Translational Medicine Research Unit, Medical Research Center Oulu and Biocenter OuluUniversity of OuluOuluFinland
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Chebly A. Cancer cytogenetics in the era of artificial intelligence: shaping the future of chromosome analysis. Future Oncol 2024; 20:2303-2305. [PMID: 39129712 PMCID: PMC11520557 DOI: 10.1080/14796694.2024.2385296] [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: 12/27/2023] [Accepted: 07/23/2024] [Indexed: 08/13/2024] Open
Abstract
Artificial intelligence (AI) has rapidly advanced in the past years, particularly in medicine for improved diagnostics. In clinical cytogenetics, AI is becoming crucial for analyzing chromosomal abnormalities and improving precision. However, existing software lack learning capabilities from experienced users. AI integration extends to genomic data analysis, personalized medicine and research, but ethical concerns arise. In this article, we discuss the challenges of the full automation in cytogenetic test interpretation and focus on its importance and benefits.
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Affiliation(s)
- Alain Chebly
- Center Jacques Loiselet for Medical Genetics and Genomics (CGGM), Faculty of Medicine, Saint Joseph University of Beirut (USJ), Beirut, Lebanon
- Higher Institute of Public Health, Saint Joseph University of Beirut (USJ), Beirut, Lebanon
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Boughalem A, Ciorna-Monferrato V, Sloboda N, Guegan A, Page F, Zimmer S, Benazra M, Kleinfinger P, Lohmann L, Valduga M, Receveur A, Martin F, Trost D. Optical genome mapping identifies a homozygous deletion in the non-coding region of the SCN9A gene in individuals from the same family with congenital insensitivity to pain. Front Genet 2024; 15:1375770. [PMID: 39156962 PMCID: PMC11327051 DOI: 10.3389/fgene.2024.1375770] [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: 02/01/2024] [Accepted: 07/18/2024] [Indexed: 08/20/2024] Open
Abstract
We report an index patient with complete insensitivity to pain and a history of painless fractures, joint hypermobility, and behavioral problems. The index patient descends from a family with notable cases among his maternal relatives, including his aunt and his mother's first cousin, both of whom suffer from congenital insensitivity to pain. The patient had normal results for prior genetic testing: fragile-X syndrome testing, chromosomal microarray analysis, and exome sequencing. Optical genome mapping detected a homozygous deletion affecting the noncoding 5' untranslated region (UTR) and the first non-coding exon of the SCN9A gene in all affected family members, compatible with recessive disease transmission. Pathogenic homozygous loss-of-function variants in the SCN9A gene are associated with impaired pain sensation in humans. Optical genome mapping can thus detect pathogenic structural variants in patients without molecular etiology by standard diagnostic procedures and is a more accessible diagnostic tool than short-read or long-read whole-genome sequencing.
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Affiliation(s)
- Aïcha Boughalem
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Viorica Ciorna-Monferrato
- Génétique Médicale et Oncogénétique, Hôpital Femme Mère Enfant, CHR Metz-Thionville, site de Mercy, 1, Allée du Château, Metz Cedex, France
| | - Natacha Sloboda
- Génétique Médicale et Oncogénétique, Hôpital Femme Mère Enfant, CHR Metz-Thionville, site de Mercy, 1, Allée du Château, Metz Cedex, France
| | - Amélie Guegan
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - François Page
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Sophie Zimmer
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Marion Benazra
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Pascale Kleinfinger
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Laurence Lohmann
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Mylène Valduga
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Aline Receveur
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Fernando Martin
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Detlef Trost
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
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38
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Singh H, Sahajpal NS, Mondal AK, Burke SL, Farmaha J, Alptekin A, Vashisht A, Jones K, Vashisht V, Kolhe R. Clinical Utility of Optical Genome Mapping for Improved Cytogenomic Analysis of Gliomas. Biomedicines 2024; 12:1659. [PMID: 39200124 PMCID: PMC11351424 DOI: 10.3390/biomedicines12081659] [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: 06/14/2024] [Revised: 07/18/2024] [Accepted: 07/22/2024] [Indexed: 09/01/2024] Open
Abstract
A glioma is a solid brain tumor which originates in the brain or brain stem area. The diagnosis of gliomas based on standard-of-care (SOC) techniques includes karyotyping, fluorescence in situ hybridization (FISH), and chromosomal microarray (CMA), for detecting the pathogenic variants and chromosomal abnormalities. But these techniques do not reveal the complete picture of genetic complexity, thus requiring an alternative technology for better characterization of these tumors. The present study aimed to evaluate the clinical performance and feasibility of using optical genome mapping (OGM) for chromosomal characterization of gliomas. Herein, we evaluated 10 cases of gliomas that were previously characterized by CMA. OGM analysis showed concordance with the results of CMA in identifying the characterized Structural Variants (SVs) in these cases. More notably, it also revealed additional clinically relevant aberrations, demonstrating a higher resolution and sensitivity. These clinically relevant SVs included cryptic translocation, and SVs which are beyond the detection capabilities of CMA. Our analysis highlights the unique capability of OGM to detect all classes of SVs within a single assay, thereby unveiling clinically significant data with a shorter turnaround time. Adopting this diagnostic tool as a standard of care for solid tumors like gliomas shows potential for improving therapeutic management, potentially leading to more personalized and timely interventions for patients.
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Affiliation(s)
- Harmanpreet Singh
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA; (H.S.); (A.K.M.); (J.F.); (A.V.); (K.J.); (V.V.)
| | | | - Ashis K. Mondal
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA; (H.S.); (A.K.M.); (J.F.); (A.V.); (K.J.); (V.V.)
| | - Stephanie L. Burke
- Clinical and Scientific Affairs, Bionano Genomics, San Diego, CA 92121, USA
| | - Jaspreet Farmaha
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA; (H.S.); (A.K.M.); (J.F.); (A.V.); (K.J.); (V.V.)
| | - Ahmet Alptekin
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA; (H.S.); (A.K.M.); (J.F.); (A.V.); (K.J.); (V.V.)
| | - Ashutosh Vashisht
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA; (H.S.); (A.K.M.); (J.F.); (A.V.); (K.J.); (V.V.)
| | - Kimya Jones
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA; (H.S.); (A.K.M.); (J.F.); (A.V.); (K.J.); (V.V.)
| | - Vishakha Vashisht
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA; (H.S.); (A.K.M.); (J.F.); (A.V.); (K.J.); (V.V.)
| | - Ravindra Kolhe
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA; (H.S.); (A.K.M.); (J.F.); (A.V.); (K.J.); (V.V.)
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Zhang S, Pei Z, Xiao M, Zhou J, Hu B, Zhu S, Sun X, Wu J, Lei C, Xu C. Comprehensive preimplantation genetic testing for balanced insertional translocation carriers. J Med Genet 2024; 61:794-802. [PMID: 38802138 DOI: 10.1136/jmg-2024-109851] [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: 01/03/2024] [Accepted: 05/12/2024] [Indexed: 05/29/2024]
Abstract
BACKGROUND Balanced insertional translocations (BITs) can increase the risk of infertility, recurrent miscarriages or neonatal birth defects due to chromosomal imbalances in gametes. However, studies on preimplantation genetic testing (PGT) for patients carrying BITs are inadequate. METHODS A preimplantation genetic genotyping and haplotype analysis approach was developed and implemented in this study. Genome-wide SNP genotyping was performed, followed by core family-based haplotype analysis. The balanced insertion segments in euploid embryos were inferred from the haplotypes inherited from the carrier parent. RESULTS A total of 10 BIT carrier couples were enrolled in our study. 15 in vitro fertilisation cycles were conducted, resulting in 73 blastocysts biopsied and subjected to PGT analysis. Among these, 20 blastocysts displayed rearrangement-related imbalances, 13 exhibited de novo aneuploidies, 15 presented a complex anomaly involving both imbalances and additional aneuploidies, while 25 were euploid. Within the euploid embryos, 12 were balanced carrier embryos and 13 were non-carrier embryos. To date, eight non-carrier and one carrier embryos have been transferred, resulting in seven clinical pregnancies. All pregnancies were recommended to perform prenatal diagnosis, our date revealed complete concordance between fetal genetic testing results and PGT results. Presently, five infants have been born from these pregnancies, and two pregnancies are still ongoing. CONCLUSION The proposed method facilitates comprehensive chromosome screening and the concurrent identification of balanced insertions or normal karyotypes in embryos. This study offers an effective and universally applicable strategy for BIT carriers to achieve a healthy pregnancy and prevent the transmission of BITs to their offspring.
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Affiliation(s)
- Shuo Zhang
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, Shanghai, China
| | - Zhenle Pei
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, Shanghai, China
| | - Min Xiao
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, Shanghai, China
| | - Jing Zhou
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, Shanghai, China
| | - Bin Hu
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, Shanghai, China
| | - Saijuan Zhu
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, Shanghai, China
| | - Xiaoxi Sun
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, Shanghai, China
- Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, Shanghai, China
| | - Junping Wu
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, Shanghai, China
| | - Caixia Lei
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, Shanghai, China
| | - Congjian Xu
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, Shanghai, China
- Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, Shanghai, China
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Bandini P, Borràs N, Berrueco R, Gassiot S, Martin-Fernandez L, Sarrate E, Comes N, Ramírez L, Hobeich C, Vidal F, Corrales I. Gaining Insights into Inherited Bleeding Disorders of Complex Etiology in Pediatric Patients: Whole-Exome Sequencing as First-Line Investigation Tool. Thromb Haemost 2024; 124:628-640. [PMID: 38158197 DOI: 10.1055/s-0043-1778070] [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] [Indexed: 01/03/2024]
Abstract
INTRODUCTION Investigation of the molecular basis of inherited bleeding disorders (IBD) is mostly performed with gene panel sequencing. However, the continuous discovery of new related genes underlies the limitation of this approach. This study aimed to identify genetic variants responsible for IBD in pediatric patients using whole-exome sequencing (WES), and to provide a detailed description and reclassification of candidate variants. MATERIAL AND METHODS WES was performed for 18 pediatric patients, and variants were filtered using a first-line list of 290 genes. Variant prioritization was discussed in a multidisciplinary team based on genotype-phenotype correlation, and segregation studies were performed with available family members. RESULTS The study identified 22 candidate variants in 17 out of 18 patients (94%). Eleven patients had complete genotype-phenotype correlation, resulting in a diagnostic yield of 61%, 5 (28%) were classified as partially solved, and 2 (11%) remained unsolved. Variants were identified in platelet (ACTN1, ANKRD26, CYCS, GATA1, GFI1B, ITGA2, NBEAL2, RUNX1, SRC, TUBB1), bleeding (APOLD1), and coagulation (F7, F8, F11, VWF) genes. Notably, 9 out of 22 (41%) variants were previously unreported. Variant pathogenicity was assessed according to the American College of Medical Genetics and Genomics guidelines and reclassification of three variants based on family segregation evidence, resulting in the identification of 10 pathogenic or likely pathogenic variants, 6 variants of uncertain significance, and 6 benign or likely benign variants. CONCLUSION This study demonstrated the high potential of WES in identifying rare molecular defects causing IBD in pediatric patients, improving their management, prognosis, and treatment, particularly for patients at risk of malignancy and/or bleeding due to invasive procedures.
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Affiliation(s)
- Perla Bandini
- Laboratori de Coagulopaties Congènites, Banc de Sang i Teixits, Barcelona, Spain
- Medicina Transfusional, Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona (VHIR-UAB), Barcelona, Spain
- Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Spain
| | - Nina Borràs
- Laboratori de Coagulopaties Congènites, Banc de Sang i Teixits, Barcelona, Spain
- Medicina Transfusional, Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona (VHIR-UAB), Barcelona, Spain
| | - Ruben Berrueco
- Servei d'Hematologia Pediàtrica, Hospital Sant Joan de Déu Barcelona, Institut de Recerca Pediàtrica, Hospital Sant Joan de Déu de Barcelona (IRP-HSJD), Universitat de Barcelona, Barcelona, Spain
- Instituto Nacional de Investigación Biomédica en Enfermedades Raras (CIBER ER), Instituto de Salud Carlos III, Madrid, Spain
| | - Susanna Gassiot
- Servei de Diagnòstic de Laboratori, Hospital Sant Joan de Déu Barcelona, Institut de Recerca Pediàtrica, Hospital Sant Joan de Déu de Barcelona (IRP-HSJD), Universitat de Barcelona, Barcelona, Spain
| | - Laura Martin-Fernandez
- Laboratori de Coagulopaties Congènites, Banc de Sang i Teixits, Barcelona, Spain
- Medicina Transfusional, Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona (VHIR-UAB), Barcelona, Spain
| | - Edurne Sarrate
- Servei de Diagnòstic de Laboratori, Hospital Sant Joan de Déu Barcelona, Institut de Recerca Pediàtrica, Hospital Sant Joan de Déu de Barcelona (IRP-HSJD), Universitat de Barcelona, Barcelona, Spain
| | - Natàlia Comes
- Laboratori de Coagulopaties Congènites, Banc de Sang i Teixits, Barcelona, Spain
- Medicina Transfusional, Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona (VHIR-UAB), Barcelona, Spain
| | - Lorena Ramírez
- Laboratori de Coagulopaties Congènites, Banc de Sang i Teixits, Barcelona, Spain
- Medicina Transfusional, Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona (VHIR-UAB), Barcelona, Spain
| | - Carlos Hobeich
- Laboratori de Coagulopaties Congènites, Banc de Sang i Teixits, Barcelona, Spain
- Medicina Transfusional, Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona (VHIR-UAB), Barcelona, Spain
| | - Francisco Vidal
- Laboratori de Coagulopaties Congènites, Banc de Sang i Teixits, Barcelona, Spain
- Medicina Transfusional, Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona (VHIR-UAB), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV). Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Irene Corrales
- Laboratori de Coagulopaties Congènites, Banc de Sang i Teixits, Barcelona, Spain
- Medicina Transfusional, Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona (VHIR-UAB), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV). Instituto de Salud Carlos III (ISCIII), Madrid, Spain
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van der Sanden B, Neveling K, Pang AWC, Shukor S, Gallagher MD, Burke SL, Kamsteeg EJ, Hastie A, Hoischen A. Optical Genome Mapping for Applications in Repeat Expansion Disorders. Curr Protoc 2024; 4:e1094. [PMID: 38966883 DOI: 10.1002/cpz1.1094] [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] [Indexed: 07/06/2024]
Abstract
Short tandem repeat (STR) expansions are associated with more than 60 genetic disorders. The size and stability of these expansions correlate with the severity and age of onset of the disease. Therefore, being able to accurately detect the absolute length of STRs is important. Current diagnostic assays include laborious lab experiments, including repeat-primed PCR and Southern blotting, that still cannot precisely determine the exact length of very long repeat expansions. Optical genome mapping (OGM) is a cost-effective and easy-to-use alternative to traditional cytogenetic techniques and allows the comprehensive detection of chromosomal aberrations and structural variants >500 bp in length, including insertions, deletions, duplications, inversions, translocations, and copy number variants. Here, we provide methodological guidance for preparing samples and performing OGM as well as running the analysis pipelines and using the specific repeat expansion workflows to determine the exact repeat length of repeat expansions expanded beyond 500 bp. Together these protocols provide all details needed to analyze the length and stability of any repeat expansion with an expected repeat size difference from the expected wild-type allele of >500 bp. © 2024 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Genomic ultra-high-molecular-weight DNA isolation, labeling, and staining Basic Protocol 2: Data generation and genome mapping using the Bionano Saphyr® System Basic Protocol 3: Manual De Novo Assembly workflow Basic Protocol 4: Local guided assembly workflow Basic Protocol 5: EnFocus Fragile X workflow Basic Protocol 6: Molecule distance script workflow.
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Affiliation(s)
- Bart van der Sanden
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Kornelia Neveling
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, the Netherlands
| | | | - Syukri Shukor
- Bionano Genomics Clinical and Scientific Affairs, San Diego, California
| | | | - Stephanie L Burke
- Bionano Genomics Clinical and Scientific Affairs, San Diego, California
| | - Erik-Jan Kamsteeg
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Alex Hastie
- Bionano Genomics Clinical and Scientific Affairs, San Diego, California
| | - Alexander Hoischen
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Internal Medicine, Radboud Expertise Center for Immunodeficiency and Autoinflammation and Radboud Center for Infectious Disease (RCI), Radboud University Medical Center, Nijmegen, the Netherlands
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42
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Rajan-Babu IS, Dolzhenko E, Eberle MA, Friedman JM. Sequence composition changes in short tandem repeats: heterogeneity, detection, mechanisms and clinical implications. Nat Rev Genet 2024; 25:476-499. [PMID: 38467784 DOI: 10.1038/s41576-024-00696-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/19/2024] [Indexed: 03/13/2024]
Abstract
Short tandem repeats (STRs) are a class of repetitive elements, composed of tandem arrays of 1-6 base pair sequence motifs, that comprise a substantial fraction of the human genome. STR expansions can cause a wide range of neurological and neuromuscular conditions, known as repeat expansion disorders, whose age of onset, severity, penetrance and/or clinical phenotype are influenced by the length of the repeats and their sequence composition. The presence of non-canonical motifs, depending on the type, frequency and position within the repeat tract, can alter clinical outcomes by modifying somatic and intergenerational repeat stability, gene expression and mutant transcript-mediated and/or protein-mediated toxicities. Here, we review the diverse structural conformations of repeat expansions, technological advances for the characterization of changes in sequence composition, their clinical correlations and the impact on disease mechanisms.
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Affiliation(s)
- Indhu-Shree Rajan-Babu
- Department of Medical Genetics, The University of British Columbia, and Children's & Women's Hospital, Vancouver, British Columbia, Canada.
| | | | | | - Jan M Friedman
- Department of Medical Genetics, The University of British Columbia, and Children's & Women's Hospital, Vancouver, British Columbia, Canada
- BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
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Lederbogen RC, Hoffjan S, Thiels C, Mau-Holzmann UA, Singer S, Yusenko MV, Nguyen HHP, Gerding WM. Optical Genome Mapping Reveals Disruption of the RASGRF2 Gene in a Patient with Developmental Delay Carrying a De Novo Balanced Reciprocal Translocation. Genes (Basel) 2024; 15:809. [PMID: 38927744 PMCID: PMC11203114 DOI: 10.3390/genes15060809] [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: 04/30/2024] [Revised: 06/10/2024] [Accepted: 06/15/2024] [Indexed: 06/28/2024] Open
Abstract
While balanced reciprocal translocations are relatively common, they often remain clinically silent unless they lead to the disruption of functional genes. In this study, we present the case of a boy exhibiting developmental delay and mild intellectual disability. Initial karyotyping revealed a translocation t(5;6)(q13;q23) between chromosomes 5 and 6 with limited resolution. Optical genome mapping (OGM) enabled a more precise depiction of the breakpoint regions involved in the reciprocal translocation. While the breakpoint region on chromosome 6 did not encompass any known gene, OGM revealed the disruption of the RASGRF2 (Ras protein-specific guanine nucleotide releasing factor 2) gene on chromosome 5, implicating RASGRF2 as a potential candidate gene contributing to the observed developmental delay in the patient. Variations in RASGRF2 have so far not been reported in developmental delay, but research on the RASGRF2 gene underscores its significance in various aspects of neurodevelopment, including synaptic plasticity, signaling pathways, and behavioral responses. This study highlights the utility of OGM in identifying breakpoint regions, providing possible insights into the understanding of neurodevelopmental disorders. It also helps affected individuals in gaining more knowledge about potential causes of their conditions.
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Affiliation(s)
- Rosa Catalina Lederbogen
- Department of Human Genetics, Ruhr-University Bochum, 44801 Bochum, Germany; (R.C.L.); (S.H.); (M.V.Y.); (H.H.P.N.)
| | - Sabine Hoffjan
- Department of Human Genetics, Ruhr-University Bochum, 44801 Bochum, Germany; (R.C.L.); (S.H.); (M.V.Y.); (H.H.P.N.)
| | - Charlotte Thiels
- Department of Neuropediatrics, University Children’s Hospital, Ruhr-University Bochum, 44791 Bochum, Germany;
| | - Ulrike Angelika Mau-Holzmann
- Institute of Medical Genetics and Applied Genomics, University Tübingen, 72074 Tübingen, Germany; (U.A.M.-H.); (S.S.)
| | - Sylke Singer
- Institute of Medical Genetics and Applied Genomics, University Tübingen, 72074 Tübingen, Germany; (U.A.M.-H.); (S.S.)
| | - Maria Viktorovna Yusenko
- Department of Human Genetics, Ruhr-University Bochum, 44801 Bochum, Germany; (R.C.L.); (S.H.); (M.V.Y.); (H.H.P.N.)
| | - Hoa Huu Phuc Nguyen
- Department of Human Genetics, Ruhr-University Bochum, 44801 Bochum, Germany; (R.C.L.); (S.H.); (M.V.Y.); (H.H.P.N.)
| | - Wanda Maria Gerding
- Department of Human Genetics, Ruhr-University Bochum, 44801 Bochum, Germany; (R.C.L.); (S.H.); (M.V.Y.); (H.H.P.N.)
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Xie M, Zheng ZJ, Zhou Y, Zhang YX, Li Q, Tian LY, Cao J, Xu YT, Ren J, Yu Q, Wu SS, Fang S, Zhuang DY, Geng J, Chen CS, Li HB. Prospective Investigation of Optical Genome Mapping for Prenatal Genetic Diagnosis. Clin Chem 2024; 70:820-829. [PMID: 38517460 DOI: 10.1093/clinchem/hvae031] [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: 08/15/2023] [Accepted: 02/22/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND Optical genome mapping (OGM) is a novel assay for detecting structural variants (SVs) and has been retrospectively evaluated for its performance. However, its prospective evaluation in prenatal diagnosis remains unreported. This study aimed to prospectively assess the technical concordance of OGM with standard of care (SOC) testing in prenatal diagnosis. METHODS A prospective cohort of 204 pregnant women was enrolled in this study. Amniotic fluid samples from these women were subjected to OGM and SOC testing, which included chromosomal microarray analysis (CMA) and karyotyping (KT) in parallel. The diagnostic yield of OGM was evaluated, and the technical concordance between OGM and SOC testing was assessed. RESULTS OGM successfully analyzed 204 cultured amniocyte samples, even with a cell count as low as 0.24 million. In total, 60 reportable SVs were identified through combined OGM and SOC testing, with 22 SVs detected by all 3 techniques. The diagnostic yield for OGM, CMA, and KT was 25% (51/204), 22.06% (45/204), and 18.14% (37/204), respectively. The highest diagnostic yield (29.41%, 60/204) was achieved when OGM and KT were used together. OGM demonstrated a concordance of 95.56% with CMA and 75.68% with KT in this cohort study. CONCLUSIONS Our findings suggest that OGM can be effectively applied in prenatal diagnosis using cultured amniocytes and exhibits high concordance with SOC testing. The combined use of OGM and KT appears to yield the most promising diagnostic outcomes.
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Affiliation(s)
- Min Xie
- The Central Laboratory of Birth Defects Prevention and Control, Ningbo Women and Children's Hospital, Ningbo, China
- Ningbo Key Laboratory for the Prevention and Treatment of Embryogenic Diseases, Ningbo Women and Children's Hospital, Ningbo, China
| | - Zhao-Jing Zheng
- Laboratory of Cytogenetics & Cytogenomics, Hangzhou Juno Genomics Inc., Hangzhou, China
| | - Ying Zhou
- The Central Laboratory of Birth Defects Prevention and Control, Ningbo Women and Children's Hospital, Ningbo, China
- Ningbo Key Laboratory for the Prevention and Treatment of Embryogenic Diseases, Ningbo Women and Children's Hospital, Ningbo, China
| | - Yu-Xin Zhang
- The Central Laboratory of Birth Defects Prevention and Control, Ningbo Women and Children's Hospital, Ningbo, China
- Ningbo Key Laboratory for the Prevention and Treatment of Embryogenic Diseases, Ningbo Women and Children's Hospital, Ningbo, China
| | - Qiong Li
- Prenatal and Neonatal Screening Center, Ningbo Women and Children's Hospital, Ningbo, China
| | - Li-Yun Tian
- Fetal Medicine Centre, Ningbo Women and Children's Hospital, Ningbo, China
| | - Juan Cao
- Fetal Medicine Centre, Ningbo Women and Children's Hospital, Ningbo, China
| | - Yan-Ting Xu
- Laboratory of Cytogenetics & Cytogenomics, Hangzhou Juno Genomics Inc., Hangzhou, China
| | - Jie Ren
- Laboratory of Cytogenetics & Cytogenomics, Hangzhou Juno Genomics Inc., Hangzhou, China
| | - Qi Yu
- Prenatal and Neonatal Screening Center, Ningbo Women and Children's Hospital, Ningbo, China
| | - Shan-Shan Wu
- Paediatric Surgery Centre, Ningbo Women and Children's Hospital, Ningbo, China
| | - Shu Fang
- Laboratory of Cytogenetics & Cytogenomics, Hangzhou Juno Genomics Inc., Hangzhou, China
| | - Dan-Yan Zhuang
- The Central Laboratory of Birth Defects Prevention and Control, Ningbo Women and Children's Hospital, Ningbo, China
- Ningbo Key Laboratory for the Prevention and Treatment of Embryogenic Diseases, Ningbo Women and Children's Hospital, Ningbo, China
| | - Juan Geng
- Laboratory of Cytogenetics & Cytogenomics, Hangzhou Juno Genomics Inc., Hangzhou, China
| | - Chang-Shui Chen
- Ningbo Key Laboratory for the Prevention and Treatment of Embryogenic Diseases, Ningbo Women and Children's Hospital, Ningbo, China
| | - Hai-Bo Li
- The Central Laboratory of Birth Defects Prevention and Control, Ningbo Women and Children's Hospital, Ningbo, China
- Ningbo Key Laboratory for the Prevention and Treatment of Embryogenic Diseases, Ningbo Women and Children's Hospital, Ningbo, China
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Wang Y, Bi S, Shi X, Dai L. Optical Genome Mapping Identifies a Novel Unbalanced Translocation Between Chromosomes 4q and 6q Leading to Feeding Difficulties and Hypotonia in a Neonate: A Case Report. Appl Clin Genet 2024; 17:63-69. [PMID: 38828444 PMCID: PMC11141715 DOI: 10.2147/tacg.s465244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 05/14/2024] [Indexed: 06/05/2024] Open
Abstract
Optical Genome Mapping (OGM) technology has garnered growing interest for the identification of chromosomal structural variations (SVs), particularly complex ones that are implicated in genetic diseases in humans. In this study, we performed genetic diagnostics on a neonatal patient who presented with feeding difficulties, hypotonia, and an atrial septal defect. We utilized a combination of trio-whole exome sequencing and OGM for our analysis. The results revealed an unbalanced translocation between maternal chromosomes 4 and 6 in the proband, ogm[GRch38]t(4:6)(q35.2;q25.3), resulting in a 2.8 Mb deletion at the 4q35 terminal and a 10.2 Mb duplication at the 6q25 terminal. In summary, this study highlights how OGM, in conjunction with other genetic approaches, can unveil the genetic etiology of complex clinical syndromes. Neonatal patients often exhibit low specific phenotypes, underlining the significance of SV detection.
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Affiliation(s)
- Ying Wang
- Division of Neonatology, Anhui Provincial Children’s Hospital, Hefei, Anhui, 230051, People’s Republic of China
| | - Shaohua Bi
- Division of Neonatology, Anhui Provincial Children’s Hospital, Hefei, Anhui, 230051, People’s Republic of China
| | - Xiaoqing Shi
- Division of Neonatology, Anhui Provincial Children’s Hospital, Hefei, Anhui, 230051, People’s Republic of China
| | - Liying Dai
- Division of Neonatology, Anhui Provincial Children’s Hospital, Hefei, Anhui, 230051, People’s Republic of China
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Schrauwen I, Rajendran Y, Acharya A, Öhman S, Arvio M, Paetau R, Siren A, Avela K, Granvik J, Leal SM, Määttä T, Kokkonen H, Järvelä I. Optical genome mapping unveils hidden structural variants in neurodevelopmental disorders. Sci Rep 2024; 14:11239. [PMID: 38755281 PMCID: PMC11099145 DOI: 10.1038/s41598-024-62009-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: 01/04/2024] [Accepted: 05/13/2024] [Indexed: 05/18/2024] Open
Abstract
While short-read sequencing currently dominates genetic research and diagnostics, it frequently falls short of capturing certain structural variants (SVs), which are often implicated in the etiology of neurodevelopmental disorders (NDDs). Optical genome mapping (OGM) is an innovative technique capable of capturing SVs that are undetectable or challenging-to-detect via short-read methods. This study aimed to investigate NDDs using OGM, specifically focusing on cases that remained unsolved after standard exome sequencing. OGM was performed in 47 families using ultra-high molecular weight DNA. Single-molecule maps were assembled de novo, followed by SV and copy number variant calling. We identified 7 variants of interest, of which 5 (10.6%) were classified as likely pathogenic or pathogenic, located in BCL11A, OPHN1, PHF8, SON, and NFIA. We also identified an inversion disrupting NAALADL2, a gene which previously was found to harbor complex rearrangements in two NDD cases. Variants in known NDD genes or candidate variants of interest missed by exome sequencing mainly consisted of larger insertions (> 1kbp), inversions, and deletions/duplications of a low number of exons (1-4 exons). In conclusion, in addition to improving molecular diagnosis in NDDs, this technique may also reveal novel NDD genes which may harbor complex SVs often missed by standard sequencing techniques.
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Affiliation(s)
- Isabelle Schrauwen
- Department of Neurology, Center for Statistical Genetics, Gertrude H. Sergievsky Center, Columbia University Medical Center, Columbia University, 630 W 168Th St, New York, NY, 10032, USA.
| | - Yasmin Rajendran
- Department of Neurology, Center for Statistical Genetics, Gertrude H. Sergievsky Center, Columbia University Medical Center, Columbia University, 630 W 168Th St, New York, NY, 10032, USA
| | - Anushree Acharya
- Department of Neurology, Center for Statistical Genetics, Gertrude H. Sergievsky Center, Columbia University Medical Center, Columbia University, 630 W 168Th St, New York, NY, 10032, USA
| | | | - Maria Arvio
- Päijät-Häme Wellbeing Services, Neurology, Lahti, Finland
| | - Ritva Paetau
- Department of Child Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Auli Siren
- Kanta-Häme Central Hospital, Hämeenlinna, Finland
| | - Kristiina Avela
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Johanna Granvik
- The Wellbeing Services County of Ostrobothnia, Kokkola, Finland
| | - Suzanne M Leal
- Department of Neurology, Center for Statistical Genetics, Gertrude H. Sergievsky Center, Columbia University Medical Center, Columbia University, 630 W 168Th St, New York, NY, 10032, USA
- Taub Institute for Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Tuomo Määttä
- The Wellbeing Services County of Kainuu, Kajaani, Finland
| | - Hannaleena Kokkonen
- Northern Finland Laboratory Centre NordLab and Medical Research Centre, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Irma Järvelä
- Department of Medical Genetics, University of Helsinki, Helsinki, Finland
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47
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Marchant RG, Bryen SJ, Bahlo M, Cairns A, Chao KR, Corbett A, Davis MR, Ganesh VS, Ghaoui R, Jones KJ, Kornberg AJ, Lek M, Liang C, MacArthur DG, Oates EC, O'Donnell-Luria A, O'Grady GL, Osei-Owusu IA, Rafehi H, Reddel SW, Roxburgh RH, Ryan MM, Sandaradura SA, Scott LW, Valkanas E, Weisburd B, Young H, Evesson FJ, Waddell LB, Cooper ST. Genome and RNA sequencing boost neuromuscular diagnoses to 62% from 34% with exome sequencing alone. Ann Clin Transl Neurol 2024; 11:1250-1266. [PMID: 38544359 DOI: 10.1002/acn3.52041] [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: 02/02/2024] [Accepted: 02/24/2024] [Indexed: 05/15/2024] Open
Abstract
OBJECTIVE Most families with heritable neuromuscular disorders do not receive a molecular diagnosis. Here we evaluate diagnostic utility of exome, genome, RNA sequencing, and protein studies and provide evidence-based recommendations for their integration into practice. METHODS In total, 247 families with suspected monogenic neuromuscular disorders who remained without a genetic diagnosis after standard diagnostic investigations underwent research-led massively parallel sequencing: neuromuscular disorder gene panel, exome, genome, and/or RNA sequencing to identify causal variants. Protein and RNA studies were also deployed when required. RESULTS Integration of exome sequencing and auxiliary genome, RNA and/or protein studies identified causal or likely causal variants in 62% (152 out of 247) of families. Exome sequencing alone informed 55% (83 out of 152) of diagnoses, with remaining diagnoses (45%; 69 out of 152) requiring genome sequencing, RNA and/or protein studies to identify variants and/or support pathogenicity. Arrestingly, novel disease genes accounted for <4% (6 out of 152) of diagnoses while 36.2% of solved families (55 out of 152) harbored at least one splice-altering or structural variant in a known neuromuscular disorder gene. We posit that contemporary neuromuscular disorder gene-panel sequencing could likely provide 66% (100 out of 152) of our diagnoses today. INTERPRETATION Our results emphasize thorough clinical phenotyping to enable deep scrutiny of all rare genetic variation in phenotypically consistent genes. Post-exome auxiliary investigations extended our diagnostic yield by 81% overall (34-62%). We present a diagnostic algorithm that details deployment of genomic and auxiliary investigations to obtain these diagnoses today most effectively. We hope this provides a practical guide for clinicians as they gain greater access to clinical genome and transcriptome sequencing.
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Affiliation(s)
- Rhett G Marchant
- Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales, Australia
- Kids Neuroscience Centre, Kids Research, Children's Hospital at Westmead, Westmead, New South Wales, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Samantha J Bryen
- Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales, Australia
- Kids Neuroscience Centre, Kids Research, Children's Hospital at Westmead, Westmead, New South Wales, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Melanie Bahlo
- Functional Neuromics, Children's Medical Research Institute, Westmead, New South Wales, Australia
- Population Health and Immunity, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Anita Cairns
- Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia
- Neurosciences Department, Queensland Children's Hospital, Brisbane, Queensland, Australia
| | - Katherine R Chao
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Alastair Corbett
- Neurology Department, Repatriation General Hospital Concord, Concord, New South Wales, Australia
| | - Mark R Davis
- Department of Diagnostic Genomics, PathWest Laboratory Medicine, Perth, WA, Australia
| | - Vijay S Ganesh
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Neuromuscular Division, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Roula Ghaoui
- Department of Neurology, Central Adelaide Local Health Network/Royal Adelaide Hospital, Adelaide, South Australia, Australia
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
- Department of Genetics & Molecular Pathology, SA Pathology, Adelaide, South Australia, Australia
| | - Kristi J Jones
- Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales, Australia
- Kids Neuroscience Centre, Kids Research, Children's Hospital at Westmead, Westmead, New South Wales, Australia
- Clinical Genetics, Children's Hospital at Westmead, Westmead, New South Wales, Australia
| | - Andrew J Kornberg
- Department of Neurology, Royal Children's Hospital Melbourne, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
- Neurosciences Group, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Monkol Lek
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Genetics, Yale School of Medicine, New Haven, Connecticut, USA
| | - Christina Liang
- Department of Neurology, Royal North Shore Hospital, St Leonards, New South Wales, Australia
- Neurogenetics, Northern Clinical School, Kolling Institute, The University of Sydney, Sydney, New South Wales, Australia
| | - Daniel G MacArthur
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Centre for Population Genomics, Garvan Institute of Medical Research/University of New South Wales, Sydney, New South Wales, Australia
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Emily C Oates
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Randwick, New South Wales, Australia
| | - Anne O'Donnell-Luria
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Gina L O'Grady
- Starship Children's Health, Auckland District Health Board, Auckland, New Zealand
| | - Ikeoluwa A Osei-Owusu
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Haloom Rafehi
- Functional Neuromics, Children's Medical Research Institute, Westmead, New South Wales, Australia
- Population Health and Immunity, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Stephen W Reddel
- Neurology Department, Repatriation General Hospital Concord, Concord, New South Wales, Australia
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Richard H Roxburgh
- Department of Neurology, Auckland District Health Board, Auckland, New Zealand
- Centre of Brain Research Neurogenetics Research Clinic, University of Auckland, Auckland, New Zealand
| | - Monique M Ryan
- Department of Neurology, Royal Children's Hospital Melbourne, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
- Neurosciences Group, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Sarah A Sandaradura
- Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales, Australia
- Kids Neuroscience Centre, Kids Research, Children's Hospital at Westmead, Westmead, New South Wales, Australia
- Clinical Genetics, Children's Hospital at Westmead, Westmead, New South Wales, Australia
| | - Liam W Scott
- Functional Neuromics, Children's Medical Research Institute, Westmead, New South Wales, Australia
- Population Health and Immunity, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Elise Valkanas
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, Massachusetts, USA
| | - Ben Weisburd
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Helen Young
- Kids Neuroscience Centre, Kids Research, Children's Hospital at Westmead, Westmead, New South Wales, Australia
- Department of Neurology, Children's Hospital at Westmead, Westmead, New South Wales, Australia
- Paediatrics, Royal North Shore Hospital, St Leonards, New South Wales, Australia
| | - Frances J Evesson
- Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales, Australia
- Kids Neuroscience Centre, Kids Research, Children's Hospital at Westmead, Westmead, New South Wales, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Leigh B Waddell
- Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales, Australia
- Kids Neuroscience Centre, Kids Research, Children's Hospital at Westmead, Westmead, New South Wales, Australia
| | - Sandra T Cooper
- Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales, Australia
- Kids Neuroscience Centre, Kids Research, Children's Hospital at Westmead, Westmead, New South Wales, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
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48
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Hu P, Xu Y, Zhang Q, Zhou R, Ji X, Wang Y, Xu Z. Prenatal diagnosis of chromosomal abnormalities using optical genome mapping vs chromosomal microarray. Am J Obstet Gynecol 2024; 230:e82-e83. [PMID: 38097028 DOI: 10.1016/j.ajog.2023.12.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 12/04/2023] [Accepted: 12/09/2023] [Indexed: 01/07/2024]
Affiliation(s)
- Ping Hu
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfei St, Nanjing, China 210029.
| | - Yiyun Xu
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfei St, Nanjing, China 210029
| | - Qinxin Zhang
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfei St, Nanjing, China 210029
| | - Ran Zhou
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfei St, Nanjing, China 210029
| | - Xiuqing Ji
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfei St, Nanjing, China 210029
| | - Yan Wang
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfei St, Nanjing, China 210029.
| | - Zhengfeng Xu
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfei St, Nanjing, China 210029.
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49
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Iriondo J, Gómez A, Zubicaray J, Garcia-Martinez J, Abad L, Matesanz C, Giménez R, Galán A, Sanz A, Sebastián E, González de Pablo J, de la Cruz A, Ramírez M, Sevilla J. Optical Genome Mapping as a New Tool to Overcome Conventional Cytogenetics Limitations in Patients with Bone Marrow Failure. Genes (Basel) 2024; 15:559. [PMID: 38790188 PMCID: PMC11121707 DOI: 10.3390/genes15050559] [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: 04/04/2024] [Revised: 04/22/2024] [Accepted: 04/26/2024] [Indexed: 05/26/2024] Open
Abstract
Cytogenetic studies are essential in the diagnosis and follow up of patients with bone marrow failure syndromes (BMFSs), but obtaining good quality results is often challenging due to hypocellularity. Optical Genome Mapping (OGM), a novel technology capable of detecting most types chromosomal structural variants (SVs) at high resolution, is being increasingly used in many settings, including hematologic malignancies. Herein, we compared conventional cytogenetic techniques to OGM in 20 patients with diverse BMFSs. Twenty metaphases for the karyotype were only obtained in three subjects (15%), and no SVs were found in any of the samples. One patient with culture failure showed a gain in chromosome 1q by fluorescence in situ hybridization, which was confirmed by OGM. In contrast, OGM provided good quality results in all subjects, and SVs were detected in 14 of them (70%), mostly corresponding to cryptic submicroscopic alterations not observed by standard techniques. Therefore, OGM emerges as a powerful tool that provides complete and evaluable results in hypocellular BMFSs, reducing multiple tests into a single assay and overcoming some of the main limitations of conventional techniques. Furthermore, in addition to confirming the abnormalities detected by conventional techniques, OGM found new alterations beyond their detection limits.
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Affiliation(s)
- June Iriondo
- Hematology and Hemotherapy Unit, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (J.Z.); (A.S.); (E.S.)
- Biomedical Research Foundation, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (A.G.); (J.G.d.P.); (A.d.l.C.)
| | - Ana Gómez
- Laboratory and Clinical Analysis Department, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (A.G.); (L.A.); (C.M.); (R.G.); (M.R.)
| | - Josune Zubicaray
- Hematology and Hemotherapy Unit, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (J.Z.); (A.S.); (E.S.)
- Biomedical Research Foundation, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (A.G.); (J.G.d.P.); (A.d.l.C.)
| | - Jorge Garcia-Martinez
- Pediatric Onco-Hematology Department, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain;
- Health Research Institute at Hospital de La Princesa (IIS-Princesa), 28006 Madrid, Spain
| | - Lorea Abad
- Laboratory and Clinical Analysis Department, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (A.G.); (L.A.); (C.M.); (R.G.); (M.R.)
| | - Carmen Matesanz
- Laboratory and Clinical Analysis Department, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (A.G.); (L.A.); (C.M.); (R.G.); (M.R.)
| | - Reyes Giménez
- Laboratory and Clinical Analysis Department, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (A.G.); (L.A.); (C.M.); (R.G.); (M.R.)
| | - Almudena Galán
- Biomedical Research Foundation, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (A.G.); (J.G.d.P.); (A.d.l.C.)
- Laboratory and Clinical Analysis Department, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (A.G.); (L.A.); (C.M.); (R.G.); (M.R.)
| | - Alejandro Sanz
- Hematology and Hemotherapy Unit, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (J.Z.); (A.S.); (E.S.)
- Biomedical Research Foundation, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (A.G.); (J.G.d.P.); (A.d.l.C.)
| | - Elena Sebastián
- Hematology and Hemotherapy Unit, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (J.Z.); (A.S.); (E.S.)
- Biomedical Research Foundation, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (A.G.); (J.G.d.P.); (A.d.l.C.)
| | - Jesús González de Pablo
- Biomedical Research Foundation, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (A.G.); (J.G.d.P.); (A.d.l.C.)
| | - Ana de la Cruz
- Biomedical Research Foundation, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (A.G.); (J.G.d.P.); (A.d.l.C.)
- Laboratory and Clinical Analysis Department, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (A.G.); (L.A.); (C.M.); (R.G.); (M.R.)
| | - Manuel Ramírez
- Laboratory and Clinical Analysis Department, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (A.G.); (L.A.); (C.M.); (R.G.); (M.R.)
- Pediatric Onco-Hematology Department, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain;
- Health Research Institute at Hospital de La Princesa (IIS-Princesa), 28006 Madrid, Spain
| | - Julián Sevilla
- Hematology and Hemotherapy Unit, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (J.Z.); (A.S.); (E.S.)
- Biomedical Research Foundation, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain; (A.G.); (J.G.d.P.); (A.d.l.C.)
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Krenn M, Wagner M, Zulehner G, Weng R, Jäger F, Keritam O, Sener M, Brücke C, Milenkovic I, Langer A, Buchinger D, Habersam R, Mayerhanser K, Brugger M, Brunet T, Jacob M, Graf E, Berutti R, Cetin H, Hoefele J, Winkelmann J, Zimprich F, Rath J. Next-generation sequencing and comprehensive data reassessment in 263 adult patients with neuromuscular disorders: insights into the gray zone of molecular diagnoses. J Neurol 2024; 271:1937-1946. [PMID: 38127101 PMCID: PMC10972933 DOI: 10.1007/s00415-023-12101-6] [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: 09/20/2023] [Revised: 11/03/2023] [Accepted: 11/04/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Neuromuscular disorders (NMDs) are heterogeneous conditions with a considerable fraction attributed to monogenic defects. Despite the advancements in genomic medicine, many patients remain without a diagnosis. Here, we investigate whether a comprehensive reassessment strategy improves the diagnostic outcomes. METHODS We analyzed 263 patients with NMD phenotypes that underwent diagnostic exome or genome sequencing at our tertiary referral center between 2015 and 2023. We applied a comprehensive reassessment encompassing variant reclassification, re-phenotyping and NGS data reanalysis. Multivariable logistic regression was performed to identify predictive factors associated with a molecular diagnosis. RESULTS Initially, a molecular diagnosis was identified in 53 cases (20%), while an additional 23 (9%) had findings of uncertain significance. Following comprehensive reassessment, the diagnostic yield increased to 23%, revealing 44 distinct monogenic etiologies. Reasons for newly obtained molecular diagnoses were variant reclassifications in 7 and NGS data reanalysis in 3 cases including one recently described disease-gene association (DNAJB4). Male sex reduced the odds of receiving a molecular diagnosis (OR 0.42; 95%CI 0.21-0.82), while a positive family history (OR 5.46; 95%CI 2.60-11.76) and a myopathy phenotype (OR 2.72; 95%CI 1.11-7.14) increased the likelihood. 7% were resolved through targeted genetic testing or classified as acquired etiologies. CONCLUSION Our findings reinforce the use of NGS in NMDs of suspected monogenic origin. We show that a comprehensive reassessment enhances diagnostic accuracy. However, one needs to be aware that genetic diagnoses are often made with uncertainty and can even be downgraded based on new evidence.
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Affiliation(s)
- Martin Krenn
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Matias Wagner
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
| | - Gudrun Zulehner
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Rosa Weng
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Fiona Jäger
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Omar Keritam
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Merve Sener
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Christof Brücke
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Ivan Milenkovic
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Agnes Langer
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Dominic Buchinger
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Richard Habersam
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Katharina Mayerhanser
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Melanie Brugger
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Theresa Brunet
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
- Department of Pediatric Neurology, Developmental Medicine and Social Pediatrics, Dr. Von Hauner's Children's Hospital, University of Munich, Munich, Germany
| | - Maureen Jacob
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Elisabeth Graf
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Riccardo Berutti
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
| | - Hakan Cetin
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Julia Hoefele
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Juliane Winkelmann
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
| | - Fritz Zimprich
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Jakob Rath
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
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