An unbiased comparison of 14 epigenetic clocks in relation to 174 incident disease outcomes
Christos Mavrommatis; Daniel W. Belsky; Kejun Ying; Mahdi Moqri; Archie Campbell; Anne Richmond; Vadim N. Gladyshev; Tamir Chandra · 2025 · Nature Communications
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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 1%. However, the
Abstract by Christos Mavrommatis; Daniel W. Belsky; Kejun Ying; Mahdi Moqri; Archie Campbell; Anne Richmond; Vadim N. Gladyshev; Tamir Chandra, Nature Communications (2025) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1038/s41467-025-66106-y