In a recent study published in Nature Medicine,Smith and colleagues used data from 1.4 million individuals across 37 genome-wide association studies(GWAS)reflecting different genetic ancestral populations to identify ...In a recent study published in Nature Medicine,Smith and colleagues used data from 1.4 million individuals across 37 genome-wide association studies(GWAS)reflecting different genetic ancestral populations to identify 12 genetic clusters,mostly shared among the different populations,and associated the weighted sums of genetic variants of each cluster—termed as partitioned polygenic scores(pPSs)—with various lab-based,anthropometric and cardiometabolic traits.Their analyses extended previous studies on biological mechanisms linking genetics to type 2 diabetes(T2D)risk and pointed to both similarities of genetic clusters across multiple populations and differences regarding their contributions to overall T2D risk among different ethnicities.展开更多
基金The research of the authors is supported in part by grants from the German Federal Ministry of Health(BMG),the Ministry of Culture and Science of the State North Rhine-Westphalia(MKW NRW)to the German Diabetes Center(DDZ)and the German Federal Ministry of Education and Research(BMBF)to German Center for Diabetes Research(DZD e.V.)The research of CH and MR is also supported in part by grants from the European Community(HORIZON-HLTH-2022-STAYHLTH-02-01:Panel A to the INTERCEPT-T2D consortium)The research of MR is further supported in part by the Schmutzler Stiftung and the program“Profilbildung 2020”,an initiative of the Ministry of Culture and Science of the State of North Rhine-Westphalia.The sole responsibility for the content of this publication lies with the authors.
文摘In a recent study published in Nature Medicine,Smith and colleagues used data from 1.4 million individuals across 37 genome-wide association studies(GWAS)reflecting different genetic ancestral populations to identify 12 genetic clusters,mostly shared among the different populations,and associated the weighted sums of genetic variants of each cluster—termed as partitioned polygenic scores(pPSs)—with various lab-based,anthropometric and cardiometabolic traits.Their analyses extended previous studies on biological mechanisms linking genetics to type 2 diabetes(T2D)risk and pointed to both similarities of genetic clusters across multiple populations and differences regarding their contributions to overall T2D risk among different ethnicities.
