生物
孟德尔随机化
全基因组关联研究
遗传学
遗传关联
孟德尔遗传
等位基因
数量性状位点
人口
特质
生命银行
基因
遗传建筑学
疾病
单核苷酸多态性
表型
基因型
遗传变异
内科学
医学
程序设计语言
环境卫生
计算机科学
作者
William J. Astle,Heather Elding,Tao Jiang,Dave Allen,Dace Ruklisa,Alice Mann,Daniel G. Mead,Heleen J. Bouman,Fernando Riveros-Mckay,Myrto Kostadima,John Lambourne,Suthesh Sivapalaratnam,Kate Downes,Kousik Kundu,Lorenzo Bomba,Kim Berentsen,John R. Bradley,Louise C. Daugherty,Olivier Delaneau,Kathleen Freson
出处
期刊:Cell
[Cell Press]
日期:2016-11-01
卷期号:167 (5): 1415-1429.e19
被引量:1199
标识
DOI:10.1016/j.cell.2016.10.042
摘要
Many common variants have been associated with hematological traits, but identification of causal genes and pathways has proven challenging. We performed a genome-wide association analysis in the UK Biobank and INTERVAL studies, testing 29.5 million genetic variants for association with 36 red cell, white cell, and platelet properties in 173,480 European-ancestry participants. This effort yielded hundreds of low frequency (<5%) and rare (<1%) variants with a strong impact on blood cell phenotypes. Our data highlight general properties of the allelic architecture of complex traits, including the proportion of the heritable component of each blood trait explained by the polygenic signal across different genome regulatory domains. Finally, through Mendelian randomization, we provide evidence of shared genetic pathways linking blood cell indices with complex pathologies, including autoimmune diseases, schizophrenia, and coronary heart disease and evidence suggesting previously reported population associations between blood cell indices and cardiovascular disease may be non-causal.
科研通智能强力驱动
Strongly Powered by AbleSci AI