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For: Sinnott-Armstrong N, Naqvi S, Rivas M, Pritchard JK. GWAS of three molecular traits highlights core genes and pathways alongside a highly polygenic background. Elife 2021;10:e58615. [PMID: 33587031 DOI: 10.7554/eLife.58615] [Cited by in Crossref: 12] [Cited by in F6Publishing: 23] [Article Influence: 12.0] [Reference Citation Analysis]
Number Citing Articles
1 Merriman TR, Joosten LAB. CHIP and gout: trained immunity? Blood 2022;140:1054-6. [PMID: 36074537 DOI: 10.1182/blood.2022017212] [Reference Citation Analysis]
2 Watanabe K, Jansen PR, Savage JE, Nandakumar P, Wang X, Hinds DA, Gelernter J, Levey DF, Polimanti R, Stein MB, Van Someren EJW, Smit AB, Posthuma D; 23andMe Research Team. Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways. Nat Genet 2022. [PMID: 35835914 DOI: 10.1038/s41588-022-01124-w] [Reference Citation Analysis]
3 Smith SP, Shahamatdar S, Cheng W, Zhang S, Paik J, Graff M, Haiman C, Matise TC, North KE, Peters U, Kenny E, Gignoux C, Wojcik G, Crawford L, Ramachandran S. Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries. Am J Hum Genet 2022;109:871-84. [PMID: 35349783 DOI: 10.1016/j.ajhg.2022.03.005] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Crespi B, Procyshyn T, Mokkonen M. Natura Non Facit Saltus: The Adaptive Significance of Arginine Vasopressin in Human Affect, Cognition, and Behavior. Front Behav Neurosci 2022;16:814230. [DOI: 10.3389/fnbeh.2022.814230] [Reference Citation Analysis]
5 Blum JA, Gitler AD. Singling out motor neurons in the age of single-cell transcriptomics. Trends Genet 2022:S0168-9525(22)00078-6. [PMID: 35487823 DOI: 10.1016/j.tig.2022.03.016] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Wang Y, Wu Y, Choi J, Allington G, Zhao S, Khanfar M, Yang K, Fu P, Wrubel M, Yu X, Mekbib KY, Ocken J, Smith H, Shohfi J, Kahle KT, Lu Q, Jin SC. Computational Genomics in the Era of Precision Medicine: Applications to Variant Analysis and Gene Therapy. JPM 2022;12:175. [DOI: 10.3390/jpm12020175] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Kondratyev NV, Alfimova MV, Golov AK, Golimbet VE. Bench Research Informed by GWAS Results. Cells 2021;10:3184. [PMID: 34831407 DOI: 10.3390/cells10113184] [Reference Citation Analysis]
8 Ritchie SC, Lambert SA, Arnold M, Teo SM, Lim S, Scepanovic P, Marten J, Zahid S, Chaffin M, Liu Y, Abraham G, Ouwehand WH, Roberts DJ, Watkins NA, Drew BG, Calkin AC, Di Angelantonio E, Soranzo N, Burgess S, Chapman M, Kathiresan S, Khera AV, Danesh J, Butterworth AS, Inouye M. Integrative analysis of the plasma proteome and polygenic risk of cardiometabolic diseases. Nat Metab 2021;3:1476-83. [PMID: 34750571 DOI: 10.1038/s42255-021-00478-5] [Cited by in F6Publishing: 6] [Reference Citation Analysis]
9 Soergel H, Loosli F, Muhle-Goll C. Strain-Specific Liver Metabolite Profiles in Medaka. Metabolites 2021;11:744. [PMID: 34822402 DOI: 10.3390/metabo11110744] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
10 Visscher PM, Yengo L, Cox NJ, Wray NR. Discovery and implications of polygenicity of common diseases. Science 2021;373:1468-73. [PMID: 34554790 DOI: 10.1126/science.abi8206] [Cited by in Crossref: 4] [Cited by in F6Publishing: 13] [Article Influence: 4.0] [Reference Citation Analysis]
11 Lappalainen T, MacArthur DG. From variant to function in human disease genetics. Science 2021;373:1464-8. [PMID: 34554789 DOI: 10.1126/science.abi8207] [Cited by in Crossref: 5] [Cited by in F6Publishing: 12] [Article Influence: 5.0] [Reference Citation Analysis]
12 Duveau F, Vande Zande P, Metzger BP, Diaz CJ, Walker EA, Tryban S, Siddiq MA, Yang B, Wittkopp PJ. Mutational sources of trans-regulatory variation affecting gene expression in Saccharomyces cerevisiae. Elife 2021;10:e67806. [PMID: 34463616 DOI: 10.7554/eLife.67806] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
13 Uffelmann E, Huang QQ, Munung NS, de Vries J, Okada Y, Martin AR, Martin HC, Lappalainen T, Posthuma D. Genome-wide association studies. Nat Rev Methods Primers 2021;1. [DOI: 10.1038/s43586-021-00056-9] [Cited by in Crossref: 20] [Cited by in F6Publishing: 38] [Article Influence: 20.0] [Reference Citation Analysis]
14 Zuo Y, Wei D, Zhu C, Naveed O, Hong W, Yang X. Unveiling the Pathogenesis of Psychiatric Disorders Using Network Models. Genes (Basel) 2021;12:1101. [PMID: 34356117 DOI: 10.3390/genes12071101] [Reference Citation Analysis]
15 Sarnowski C, Chen H, Biggs ML, Wassertheil-Smoller S, Bressler J, Irvin MR, Ryan KA, Karasik D, Arnett DK, Cupples LA, Fardo DW, Gogarten SM, Heavner BD, Jain D, Kang HM, Kooperberg C, Mainous AG, Mitchell BD, Morrison AC, O'Connell JR, Psaty BM, Rice K, Smith AV, Vasan RS, Windham BG, Kiel DP, Murabito JM, Lunetta KL; TOPMed Longevity and Healthy Aging Working Group., from the NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium. Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program. PLoS One 2021;16:e0253611. [PMID: 34214102 DOI: 10.1371/journal.pone.0253611] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
16 Wang B, Dong X, Hu J, Ma X, Han C, Wang Y, Gao L. The peripheral and core regions of virus-host network of COVID-19. Brief Bioinform 2021:bbab169. [PMID: 33956950 DOI: 10.1093/bib/bbab169] [Reference Citation Analysis]
17 Zhu A, Matoba N, Wilson EP, Tapia AL, Li Y, Ibrahim JG, Stein JL, Love MI. MRLocus: Identifying causal genes mediating a trait through Bayesian estimation of allelic heterogeneity. PLoS Genet 2021;17:e1009455. [PMID: 33872308 DOI: 10.1371/journal.pgen.1009455] [Cited by in F6Publishing: 5] [Reference Citation Analysis]
18 Bhattacharya A, Li Y, Love MI. MOSTWAS: Multi-Omic Strategies for Transcriptome-Wide Association Studies. PLoS Genet 2021;17:e1009398. [PMID: 33684137 DOI: 10.1371/journal.pgen.1009398] [Cited by in Crossref: 4] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
19 Beaumont RN, Mayne IK, Freathy RM, Wright CF. Common genetic variants with fetal effects on birth weight are enriched for proximity to genes implicated in rare developmental disorders. Hum Mol Genet 2021;30:1057-66. [PMID: 33682876 DOI: 10.1093/hmg/ddab060] [Reference Citation Analysis]