An unbiased comparison of 14 epigenetic clocks in relation to 174 incident disease outcomes.

ABSTRACT: Epigenetic Clocks have been trained to predict chronological age, healthspan and lifespan. Such clocks are often analysed in relation to disease outcomes - typically using small datasets and a limited number of clocks. Here, we present a large-scale (n = 18,859), unbiased comparison of 14 widely used clocks as predictors of 174 incident disease outcomes and all-cause mortality over 10-years of follow up. Second- and third-generation clocks significantly outperform first-generation clocks, which have limited applications in disease settings. Of the 176 Bonferroni significant (P < 0.05/174) associations from fully-adjusted Cox regression models controlling for lifestyle and socioeconomic measures, there are 27 diseases (including primary lung cancer and diabetes) where the hazard ratio for t

SUBMITTER: Mavrommatis C 

PROVIDER: S-EPMC12708718 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature