Exome sequencing identifies genes for socioeconomic status in 350,770 individuals

社会经济地位 单核苷酸多态性 全基因组关联研究 外显子组 遗传学 生物 外显子组测序 基因 表型 医学 基因型 环境卫生 人口
作者
Xinrui Wu,Yang Liu,Bang‐Sheng Wu,Weishi Liu,Yue‐Ting Deng,Jujiao Kang,Qiang Dong,Barbara J. Sahakian,Jianfeng Feng,Wei Cheng,Jin‐Tai Yu
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [Proceedings of the National Academy of Sciences]
卷期号:122 (2) 被引量:2
标识
DOI:10.1073/pnas.2414018122
摘要

Socioeconomic status (SES) is a critical factor in determining health outcomes and is influenced by genetic and environmental factors. However, our understanding of the genetic structure of SES remains incomplete. Here, we conducted a large-scale exome study of SES markers (household income, occupational status, educational attainment, and social deprivation) in 350,770 individuals. For rare coding variants, we identified 56 significant associations by gene-based collapsing tests, unveiling 7 additional SES-associated genes ( NRN1 , CCDC36 , RHOB , EP400 , NCAM1, TPTEP2-CSNK1E , and LINC02881 ). Exome-wide single common variant analysis revealed nine lead single-nucleotide polymorphisms (SNPs) associated with household income and 34 lead SNPs associated with EduYears, replicating previous GWAS findings. The gene–environment correlations had a substantial impact on the genetic associations with SES, as indicated by the significantly increased P values in several associations after controlling for geographic regions. Furthermore, we observed the pleiotropic effects of SES-associated genetic factors on a wide range of health outcomes, such as cognitive function, psychosocial status, and diabetes. This study highlights the contribution of coding variants to SES and their associations with health phenotypes.

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