生物
蛋白质组
遗传关联
遗传学
表达数量性状基因座
全基因组关联研究
表型
数量性状位点
计算生物学
蛋白质组学
遗传混合
人口
生物信息学
基因型
基因
单核苷酸多态性
人口学
社会学
作者
Jingning Zhang,Diptavo Dutta,Anna Köttgen,Adrienne Tin,Pascal Schlosser,Morgan E. Grams,Benjamin Harvey,Bing Yu,Eric Boerwinkle,Josef Coresh,Nilanjan Chatterjee
出处
期刊:Nature Genetics
[Nature Portfolio]
日期:2022-05-01
卷期号:54 (5): 593-602
被引量:228
标识
DOI:10.1038/s41588-022-01051-w
摘要
Improved understanding of genetic regulation of the proteome can facilitate identification of the causal mechanisms for complex traits. We analyzed data on 4,657 plasma proteins from 7,213 European American (EA) and 1,871 African American (AA) individuals from the Atherosclerosis Risk in Communities study, and further replicated findings on 467 AA individuals from the African American Study of Kidney Disease and Hypertension study. Here, we identified 2,004 proteins in EA and 1,618 in AA, with most overlapping, which showed associations with common variants in cis-regions. Availability of AA samples led to smaller credible sets and notable number of population-specific cis-protein quantitative trait loci. Elastic Net produced powerful models for protein prediction in both populations. An application of proteome-wide association studies to serum urate and gout implicated several proteins, including IL1RN, revealing the promise of the drug anakinra to treat acute gout flares. Our study demonstrates the value of large and diverse ancestry study to investigate the genetic mechanisms of molecular phenotypes and their relationship with complex traits. Analyses of cis-genetic regulation of the plasma proteome in European and African American populations lead to the identification of shared and unique cis-protein quantitative trait loci and models for proteome-wide association studies of complex traits.
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