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