孟德尔随机化
蛋白质组
生物
表达数量性状基因座
遗传建筑学
数量性状位点
疾病
计算生物学
遗传学
全基因组关联研究
遗传变异
基因
孟德尔遗传
生物信息学
遗传变异
医学
基因型
单核苷酸多态性
病理
作者
Benjamin B. Sun,Joseph Maranville,James E. Peters,David Stacey,James R Staley,James Blackshaw,Stephen Burgess,Tao Jiang,Ellie Paige,Praveen Surendran,Clare Oliver‐Williams,Mihir Kamat,Bram P. Prins,Sheri K. Wilcox,Erik S. Zimmerman,An Chi,Narinder Bansal,Sarah L. Spain,Angela Wood,Nicholas W. Morrell
出处
期刊:Nature
[Springer Nature]
日期:2018-05-29
卷期号:558 (7708): 73-79
被引量:1937
标识
DOI:10.1038/s41586-018-0175-2
摘要
Although plasma proteins have important roles in biological processes and are the direct targets of many drugs, the genetic factors that control inter-individual variation in plasma protein levels are not well understood. Here we characterize the genetic architecture of the human plasma proteome in healthy blood donors from the INTERVAL study. We identify 1,927 genetic associations with 1,478 proteins, a fourfold increase on existing knowledge, including trans associations for 1,104 proteins. To understand the consequences of perturbations in plasma protein levels, we apply an integrated approach that links genetic variation with biological pathway, disease, and drug databases. We show that protein quantitative trait loci overlap with gene expression quantitative trait loci, as well as with disease-associated loci, and find evidence that protein biomarkers have causal roles in disease using Mendelian randomization analysis. By linking genetic factors to diseases via specific proteins, our analyses highlight potential therapeutic targets, opportunities for matching existing drugs with new disease indications, and potential safety concerns for drugs under development. A genetic atlas of the human plasma proteome, comprising 1,927 genetic associations with 1,478 proteins, identifies causes of disease and potential drug targets.
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