Genome-wide association studies and polygenic risk score phenome-wide association studies across complex phenotypes in the human phenotype project

现象 全基因组关联研究 遗传关联 表型 生物 单核苷酸多态性 遗传学 遗传建筑学 生物信息学 基因 基因型
作者
Zachary Levine,Iris Kalka,Dmitry Kolobkov,Hagai Rossman,Anastasia Godneva,Smadar Shilo,Ayya Keshet,Daphna Weissglas‐Volkov,Tal Shor,Alon Diament,Yeela Talmor‐Barkan,Yaron Aviv,Tom Sharon,Adina Weinberger,Eran Segal
出处
期刊:Med [Elsevier BV]
卷期号:5 (1): 90-101.e4 被引量:3
标识
DOI:10.1016/j.medj.2023.12.001
摘要

Background Genome-wide association studies (GWASs) associate phenotypes and genetic variants across a study cohort. GWASs require large-scale cohorts with both phenotype and genetic sequencing data, limiting studied phenotypes. The Human Phenotype Project is a longitudinal study that has measured a wide range of clinical and biomolecular features from a self-assignment cohort over 5 years. The phenotypes collected are quantitative traits, providing higher-resolution insights into the genetics of complex phenotypes. Methods We present the results of GWASs and polygenic risk score phenome-wide association studies with 729 clinical phenotypes and 4,043 molecular features from the Human Phenotype Project. This includes clinical traits that have not been previously associated with genetics, including measures from continuous sleep monitoring, continuous glucose monitoring, liver ultrasound, hormonal status, and fundus imaging. Findings In GWAS of 8,706 individuals, we found significant associations between 169 clinical traits and 1,184 single-nucleotide polymorphisms. We found genes associated with both glycemic control and mental disorders, and we quantify the strength of genetic signals in serum metabolites. In polygenic risk score phenome-wide association studies for clinical traits, we found 16,047 significant associations. Conclusions The entire set of findings, which we disseminate publicly, provides newfound resolution into the genetic architecture of complex human phenotypes. Funding E.S. is supported by the Minerva foundation with funding from the Federal German Ministry for Education and Research and by the European Research Council and the Israel Science Foundation.

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
颜子安发布了新的文献求助10
1秒前
1秒前
Bugs完成签到,获得积分10
2秒前
天天快乐应助幽默的不二采纳,获得10
2秒前
lbuild完成签到,获得积分10
4秒前
顾矜应助吴香琳采纳,获得10
4秒前
feifeizi发布了新的文献求助10
4秒前
Roxy完成签到,获得积分10
7秒前
feifeizi完成签到,获得积分10
10秒前
anthony发布了新的文献求助10
13秒前
稳重完成签到 ,获得积分10
13秒前
orixero应助LZW采纳,获得10
14秒前
大海完成签到,获得积分10
14秒前
萝卜完成签到,获得积分10
14秒前
研友_nqv5WZ完成签到 ,获得积分10
15秒前
SciGPT应助再一采纳,获得10
15秒前
15秒前
16秒前
16秒前
细心香烟完成签到 ,获得积分10
16秒前
17秒前
20秒前
Cara完成签到,获得积分20
21秒前
Kao应助元气那么好采纳,获得30
21秒前
21秒前
田様应助刘亿采纳,获得10
22秒前
立菠萝完成签到,获得积分10
22秒前
赵健明完成签到,获得积分10
25秒前
27秒前
Lin完成签到,获得积分10
28秒前
29秒前
buhuidanhuixue完成签到,获得积分10
29秒前
30秒前
Tom完成签到 ,获得积分10
30秒前
30秒前
Owen应助关张豪采纳,获得10
31秒前
JoyceeZHONG完成签到,获得积分10
31秒前
Maydalian完成签到,获得积分10
31秒前
anthony完成签到,获得积分10
31秒前
FashionBoy应助fabricio10采纳,获得10
32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
Cronologia da história de Macau 5000
Merrill's Atlas of Radiographic Positioning and Procedures - 3-Volume Set, 16th Edition 2000
Petrology and Plate Tectonics 800
Matrix Methods in Data Mining and Pattern Recognition 540
Trees of tropical Asia : an illustrated guide to diversity 500
Materials Informatics Molecules, Crystals and Beyond A volume in Acta Materialia Book Series 400
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7049326
求助须知:如何正确求助?哪些是违规求助? 8714524
关于积分的说明 18451433
捐赠科研通 6565841
什么是DOI,文献DOI怎么找? 3119546
关于科研通互助平台的介绍 2207024
邀请新用户注册赠送积分活动 2095116