全基因组关联研究
生命银行
多效性
遗传关联
遗传建筑学
荟萃分析
生物
遗传学
遗传力
基因组
遗传流行病学
人口
进化生物学
表型
医学
单核苷酸多态性
基因
基因型
内科学
环境卫生
作者
Kisung Nam,Jangho Kim,Seunggeun Lee
出处
期刊:Cell genomics
[Elsevier]
日期:2022-10-01
卷期号:2 (10): 100189-100189
被引量:5
标识
DOI:10.1016/j.xgen.2022.100189
摘要
Genome-wide association studies (GWAS) on diverse ancestry groups are lacking, resulting in deficits of genetic discoveries and polygenic scores. We conducted GWAS for 76 phenotypes in Korean biobank data, namely the Korean Genome and Epidemiology Study (KoGES) (n = 72,298). Our analysis discovered 2,242 associated loci, including 122 novel associations, many of which were replicated in Biobank Japan (BBJ) GWAS. We also applied several up-to-date methods for genetic association tests to increase the power, discovering additional associations that are not identified in simple case-control GWAS. We evaluated genetic pleiotropy to investigate genes associated with multiple traits. Following meta-analysis of 32 phenotypes between KoGES and BBJ, we further identified 379 novel associations and demonstrated the improved predictive performance of polygenic risk scores by using the meta-analysis results. The summary statistics of 76 KoGES GWAS phenotypes are publicly available, contributing to a better comprehension of the genetic architecture of the East Asian population.
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