多效性
生物
全基因组关联研究
连锁不平衡
冲程(发动机)
病因学
遗传关联
遗传学
生物信息学
单核苷酸多态性
基因
等位基因
内科学
表型
单倍型
医学
基因型
机械工程
工程类
作者
Rainer Malik,Ganesh Chauhan,Matthew Traylor,Muralidharan Sargurupremraj,Yukinori Okada,Aniket Mishra,Loes C.A. Rutten‐Jacobs,Anne-Katrin Giese,Sander W. van der Laan,Sólveig Grétarsdóttir,Christopher D. Anderson,Michael Chong,Hieab H.H. Adams,Tetsuro Ago,Peter Almgren,Philippe Amouyel,Hakan Ay,Traci M. Bartz,Oscar R. Benavente,Steve Bevan
出处
期刊:Nature Genetics
[Nature Portfolio]
日期:2018-03-12
卷期号:50 (4): 524-537
被引量:1444
标识
DOI:10.1038/s41588-018-0058-3
摘要
Stroke has multiple etiologies, but the underlying genes and pathways are largely unknown. We conducted a multiancestry genome-wide-association meta-analysis in 521,612 individuals (67,162 cases and 454,450 controls) and discovered 22 new stroke risk loci, bringing the total to 32. We further found shared genetic variation with related vascular traits, including blood pressure, cardiac traits, and venous thromboembolism, at individual loci (n = 18), and using genetic risk scores and linkage-disequilibrium-score regression. Several loci exhibited distinct association and pleiotropy patterns for etiological stroke subtypes. Eleven new susceptibility loci indicate mechanisms not previously implicated in stroke pathophysiology, with prioritization of risk variants and genes accomplished through bioinformatics analyses using extensive functional datasets. Stroke risk loci were significantly enriched in drug targets for antithrombotic therapy. Multiancestry genome-wide association analyses identify new risk loci for stroke and stroke subtypes. Fine mapping and bioinformatics analyses of these risk loci point to mechanisms not previously implicated in stroke pathophysiology.
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