4.8 Article

Socioeconomic inequalities in molecular risk for chronic diseases observed in young adulthood

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.2103088119

关键词

social inequality; social genomics; biodemography; life-span development; social epidemiology

资金

  1. NIH [R01-HD087061, P30-AG017265, R01-AG043404, R01-AG033590]
  2. Swiss National Science Foundation [10531C-197964]
  3. Eunice Kennedy Shriver National Institute of Child Health and Human Development [P01-HD31921]
  4. Jacobs Center for Productive Youth Development (University of Zurich)

向作者/读者索取更多资源

This study explores the relationship between socioeconomic status and molecular underpinnings of chronic diseases. The results indicate that inequalities in molecular risk factors for chronic diseases can already be observed in individuals in their 30s. These findings provide future directions for understanding how social circumstances influence the human genome.
Many common chronic diseases of aging are negatively associated with socioeconomic status (SES). This study examines whether inequalities can already be observed in the molecular underpinnings of such diseases in the 30s, before many of them become prev-alent. Data come from the National Longitudinal Study of Adolescent to Adult Health (Add Health), a large, nationally representative sample of US subjects who were followed for over two decades beginning in adolescence. We now have transcriptomic data (mRNA-seq) from a random subset of 4,543 of these young adults. SES in the household-of-origin and in young adulthood were examined as covariates of a priori -defined mRNA-based disease signatures and of specific gene transcripts identified de novo. An SES composite from young adulthood predicted many disease signatures, as did income and subjective status. Analyses highlighted SES-based inequalities in immune, inflammatory, ribosomal, and metabolic pathways, several of which play cen-tral roles in senescence. Many genes are also involved in transcription, translation, and diverse signaling mechanisms. Average causal-mediated effect models suggest that body mass index plays a key role in accounting for these relationships. Overall, the results reveal inequalities in molecular risk factors for chronic diseases often decades before diagnoses and suggest future directions for social signal transduction models that trace how social circumstances regulate the human genome.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据