Plasma proteome analyses in individuals of European and African ancestry identify cis-pQTLs and models for proteome-wide association studies

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]
卷期号:54 (5): 593-602 被引量:358
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
GingerF应助drwang采纳,获得50
1秒前
王锦锦发布了新的文献求助10
1秒前
知足的憨人*-*完成签到,获得积分10
1秒前
福yyy完成签到 ,获得积分10
1秒前
机智的嘻嘻完成签到 ,获得积分10
1秒前
在水一方应助肖肖采纳,获得10
1秒前
2秒前
传奇3应助科研通管家采纳,获得10
2秒前
田様应助可不可乐采纳,获得10
2秒前
科目三应助科研通管家采纳,获得10
2秒前
在水一方应助科研通管家采纳,获得10
2秒前
隐形曼青应助科研通管家采纳,获得10
2秒前
香蕉觅云应助科研通管家采纳,获得10
2秒前
香蕉以菱发布了新的文献求助10
2秒前
深情安青应助科研通管家采纳,获得10
2秒前
Lucas应助科研通管家采纳,获得10
2秒前
丘比特应助科研通管家采纳,获得10
2秒前
斯文败类应助科研通管家采纳,获得10
2秒前
2秒前
ZT应助科研通管家采纳,获得10
2秒前
星辰大海应助科研通管家采纳,获得10
2秒前
科目三应助科研通管家采纳,获得10
3秒前
MinQi完成签到,获得积分10
3秒前
桐桐应助科研通管家采纳,获得10
3秒前
3秒前
科研通AI2S应助科研通管家采纳,获得10
3秒前
3秒前
3秒前
丘比特应助DJQZDS采纳,获得10
3秒前
3秒前
4秒前
111111发布了新的文献求助10
5秒前
充电宝应助蔡坤采纳,获得10
5秒前
英俊的铭应助轻微采纳,获得10
6秒前
6秒前
SciGPT应助飞快的孱采纳,获得10
6秒前
结实灭男完成签到,获得积分10
7秒前
8秒前
xiankanyun发布了新的文献求助60
8秒前
友好赛凤发布了新的文献求助10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6370941
求助须知:如何正确求助?哪些是违规求助? 8184687
关于积分的说明 17268822
捐赠科研通 5425452
什么是DOI,文献DOI怎么找? 2870247
邀请新用户注册赠送积分活动 1847312
关于科研通互助平台的介绍 1694005