Probabilistic inference of epigenetic age acceleration from cellular dynamics.

ABSTRACT: The emergence of epigenetic predictors was a pivotal moment in geroscience, propelling the measurement and concept of biological aging into a quantitative era; however, while current epigenetic clocks show strong predictive power, they are data-driven in nature and are not based on the underlying biological mechanisms driving methylation dynamics. We show that predictions of these clocks are susceptible to several confounding non-age-related phenomena that make interpretation of these estimates and associations difficult. To address these limitations, we developed a probabilistic model describing methylation transitions at the cellular level. Our approach reveals two measurable components, acceleration and bias, which directly reflect perturbations of the underlying cellular dynamics. Acce

SUBMITTER: Dabrowski JK 

PROVIDER: S-EPMC11485233 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature