Telomere Length, Epigenetic Age Acceleration, and Mortality Risk in US Adult Populations: An Additive Bayesian Network Analysis.

ABSTRACT: Telomere length and DNA methylation (DNAm) clocks serve as markers of biological aging and have been linked to mortality risk. This study applies additive Bayesian networks (ABNs) to examine associations between DNAm clocks, telomere length, and mortality, with a focus on racial and sex differences in aging. Data from three US cohorts-NHANES (n = 2522), HRS (n = 1029), and HANDLS (n = 92-470)-were analyzed using correlation matrices, Cox models, ABNs, and generalized structural equation models (GSEM) with mortality from the National Death Index. Epigenetic clocks, particularly GrimAgeEAA, HannumAgeEAA, and DunedinPoAM (or DunedinPACE), were stronger mortality predictors than telomere length. ABNs highlighted key relationships, consistently linking age and GrimAgeEAA to mortality in NHANES

SUBMITTER: Beydoun MA 

PROVIDER: S-EPMC12419851 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature