國家衛生研究院 NHRI:Item 3990099045/15342
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/15342


    Title: Boosting the power of genome-wide association studies within and across ancestries by using polygenic scores
    Authors: Campos, AI;Namba, S;Lin, SC;Nam, K;Sidorenko, J;Wang, H;Kamatani, Y;Wang, LH;Lee, S;Lin, YF;Feng, YCA;Okada, Y;Visscher, PM;Yengo, L
    Contributors: Center for Neuropsychiatric Research
    Abstract: Genome-wide association studies (GWASs) have been mostly conducted in populations of European ancestry, which currently limits the transferability of their findings to other populations. Here, we show, through theory, simulations and applications to real data, that adjustment of GWAS analyses for polygenic scores (PGSs) increases the statistical power for discovery across all ancestries. We applied this method to analyze seven traits available in three large biobanks with participants of East Asian ancestry (n = 340,000 in total) and report 139 additional associations across traits. We also present a two-stage meta-analysis strategy whereby, in contributing cohorts, a PGS-adjusted GWAS is rerun using PGSs derived from a first round of a standard meta-analysis. On average, across traits, this approach yields a 1.26-fold increase in the number of detected associations (range 1.07- to 1.76-fold increase). Altogether, our study demonstrates the value of using PGSs to increase the power of GWASs in underrepresented populations and promotes such an analytical strategy for future GWAS meta-analyses.
    Date: 2023-10
    Relation: Nature Genetics. 2023 Oct;55(10):1769-1776.
    Link to: http://dx.doi.org/10.1038/s41588-023-01500-0
    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:001067928900001
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85171427308
    Appears in Collections:[Yen-Feng Lin] Periodical Articles

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