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.¹

在《自然医学》最近发表的一项研究中，Smith 及其同事使用了来自 37 项反映不同遗传祖先群体的全基因组关联研究 (GWAS) 中 140 万人的数据，确定了 12 个遗传簇（大部分在不同群体之间共享），并将加权值关联起来。每个簇的遗传变异总和（称为分区多基因评分（pPS））具有各种基于实验室、人体测量和心脏代谢特征。他们的分析扩展了之前关于将遗传学与 2 型糖尿病 (T2D) 风险联系起来的生物机制的研究，并指出了多个人群中基因簇的相似性以及它们对不同种族之间总体 T2D 风险的贡献的差异。 ¹