DNA methylation-based predictors of metabolic traits in Scottish and Singaporean cohorts.

ABSTRACT: Exploring the molecular correlates of metabolic health measures may identify their shared and unique biological processes and pathways. Molecular proxies of these traits may also provide a more objective approach to their measurement. Here, DNA methylation (DNAm) data were used in epigenome-wide association studies (EWASs) and for training epigenetic scores (EpiScores) of six metabolic traits: body mass index (BMI), body fat percentage, waist-hip ratio, and blood-based measures of glucose, high-density lipoprotein cholesterol, and total cholesterol in >17,000 volunteers from the Generation Scotland (GS) cohort. We observed a maximum of 12,033 significant findings (p < 3.6 × 10^-8) for BMI in a marginal linear regression EWAS. By contrast, a joint and conditional Bayesian penalize

SUBMITTER: Smith HM 

PROVIDER: S-EPMC11739919 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature