Research Paper Advance Articles
DNA methylation entropy is a biomarker for aging
- 1 Computational and Systems Biology Interdepartmental Program at University of California, Los Angeles, Los Angeles, CA 90095, USA
- 2 Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, CA 90095, USA
Received: February 13, 2024 Accepted: February 13, 2025 Published: March 12, 2025
https://doi.org/10.18632/aging.206220How to Cite
Copyright: © 2024 Chan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
The dynamic nature of epigenetic modifications has been leveraged to construct epigenetic clocks that accurately predict an individual’s age based on DNA methylation levels. Here we explore whether the accumulation of epimutations, which can be quantified by Shannon’s entropy, changes reproducibly with age. Using targeted bisulfite sequencing, we analyzed the associations between age, entropy, and methylation levels in human buccal swab samples. We find that epigenetic clocks based on the entropy of methylation states predict chronological age with similar accuracy as common approaches that are based on methylation levels of individual cytosines. Our approach suggests that across many genomic loci, methylation entropy changes reproducibly with age.