國家衛生研究院 NHRI:Item 3990099045/16070
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    題名: Fine-mapping across diverse ancestries drives the discovery of putative causal variants underlying human complex traits and diseases
    作者: Yuan, K;Longchamps, RJ;Pardiñas, AF;Yu, M;Chen, TT;Lin, SC;Chen, Y;Lam, M;Liu, R;Xia, Y;Guo, Z;Shi, W;Shen, C;Daly, MJ;Neale, BM;Feng, YA;Lin, YF;Chen, CY;O'Donovan, MC;Ge, T;Huang, H
    貢獻者: Center for Neuropsychiatric Research
    摘要: Genome-wide association studies (GWAS) of human complex traits or diseases often implicate genetic loci that span hundreds or thousands of genetic variants, many of which have similar statistical significance. While statistical fine-mapping in individuals of European ancestry has made important discoveries, cross-population fine-mapping has the potential to improve power and resolution by capitalizing on the genomic diversity across ancestries. Here we present SuSiEx, an accurate and computationally efficient method for cross-population fine-mapping. SuSiEx integrates data from an arbitrary number of ancestries, explicitly models population-specific allele frequencies and linkage disequilibrium patterns, accounts for multiple causal variants in a genomic region and can be applied to GWAS summary statistics. We comprehensively assessed the performance of SuSiEx using simulations. We further showed that SuSiEx improves the fine-mapping of a range of quantitative traits available in both the UK Biobank and Taiwan Biobank, and improves the fine-mapping of schizophrenia-associated loci by integrating GWAS across East Asian and European ancestries.
    日期: 2024-09
    關聯: Nature Genetics. 2024 Sep;56(9):1841-1850.
    Link to: http://dx.doi.org/10.1038/s41588-024-01870-z
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1061-4036&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:001297782500001
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85202063709
    顯示於類別:[林彥鋒] 期刊論文

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