Socioeconomic status across the early life course predicts gene expression signatures of disease and senescence.

ABSTRACT:

Background

Socioeconomic status (SES) is associated with many chronic diseases, indicators of senescence and mortality. However, the changing salience of SES in the prediction of adult health is not well understood. Using mRNA-seq abundance data from wave V of the National Longitudinal Study of Adolescent to Adult Health (Add Health), we examine the extent to which SES across the early life course is related to gene expression-based signatures for chronic diseases, senescence and inflammation in the late 30s.

Methods

We use Bayesian methods to identify the most likely model of life course epidemiology (critical, sensitive and accumulation models) that characterises the changing importance of parental SES and SES during young (ages 27-30) and mid-adulthood (ages 36-39) in the

SUBMITTER: Potente C 

PROVIDER: S-EPMC11671950 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature