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

• 成果类型: Article
• 署名作者: Wu, Xin-Rui; Yang, Liu; Wu, Bang-Sheng; Liu, Wei-Shi; Deng, Yue-Ting; Kang, Ju-Jiao; Dong, Qiang; Sahakian, Barbara J.; Feng, Jian-Feng; Cheng, Wei; Yu, Jin-Tai
• 署名单位: Fudan University; Fudan University; Fudan University; Fudan University; Fudan University; University of Cambridge; University of Cambridge; University of Warwick
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-10388
• DOI: 10.1073/pnas.2414018122
• 发表日期: 2025-01-14
• 关键词: single-nucleotide polymorphisms; association; genome; disease

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 and social deprivation) in 350,770 individuals. For rare coding variants, we identified 56 significant associations by gene- based collapsing tests, unveiling 7 additional 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.