Large-scale genome-wide association study of coronary artery disease in genetically diverse populations

全基因组关联研究 生物 遗传学 遗传关联 冠状动脉疾病 基因座(遗传学) 单倍型 遗传力 生物信息学 进化生物学 单核苷酸多态性 医学 等位基因 内科学 基因 基因型
作者
Catherine Tcheandjieu,Xiang Zhu,Austin T. Hilliard,Shoa L. Clarke,Valerio Napolioni,Shining Ma,Kyung Min Lee,Huaying Fang,Fei Chen,Yingchang Lu,Noah L. Tsao,Sridharan Raghavan,Satoshi Koyama,Bryan R. Gorman,Marijana Vujković,Derek Klarin,Michael G. Levin,Nasa Sinnott-Armstrong,Genevieve L. Wojcik,Mary E. Plomondon
出处
期刊:Nature Medicine [Nature Portfolio]
卷期号:28 (8): 1679-1692 被引量:215
标识
DOI:10.1038/s41591-022-01891-3
摘要

We report a genome-wide association study (GWAS) of coronary artery disease (CAD) incorporating nearly a quarter of a million cases, in which existing studies are integrated with data from cohorts of white, Black and Hispanic individuals from the Million Veteran Program. We document near equivalent heritability of CAD across multiple ancestral groups, identify 95 novel loci, including nine on the X chromosome, detect eight loci of genome-wide significance in Black and Hispanic individuals, and demonstrate that two common haplotypes at the 9p21 locus are responsible for risk stratification in all populations except those of African origin, in which these haplotypes are virtually absent. Moreover, in the largest GWAS for angiographically derived coronary atherosclerosis performed to date, we find 15 loci of genome-wide significance that robustly overlap with established loci for clinical CAD. Phenome-wide association analyses of novel loci and polygenic risk scores (PRSs) augment signals related to insulin resistance, extend pleiotropic associations of these loci to include smoking and family history, and precisely document the markedly reduced transferability of existing PRSs to Black individuals. Downstream integrative analyses reinforce the critical roles of vascular endothelial, fibroblast, and smooth muscle cells in CAD susceptibility, but also point to a shared biology between atherosclerosis and oncogenesis. This study highlights the value of diverse populations in further characterizing the genetic architecture of CAD.
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