Somatic mutation as an explanation for epigenetic aging
- PMID: 39806003
- PMCID: PMC12204751
- DOI: 10.1038/s43587-024-00794-x
Somatic mutation as an explanation for epigenetic aging
Abstract
DNA methylation marks have recently been used to build models known as epigenetic clocks, which predict calendar age. As methylation of cytosine promotes C-to-T mutations, we hypothesized that the methylation changes observed with age should reflect the accrual of somatic mutations, and the two should yield analogous aging estimates. In an analysis of multimodal data from 9,331 human individuals, we found that CpG mutations indeed coincide with changes in methylation, not only at the mutated site but with pervasive remodeling of the methylome out to ±10 kilobases. This one-to-many mapping allows mutation-based predictions of age that agree with epigenetic clocks, including which individuals are aging more rapidly or slowly than expected. Moreover, genomic loci where mutations accumulate with age also tend to have methylation patterns that are especially predictive of age. These results suggest a close coupling between the accumulation of sporadic somatic mutations and the widespread changes in methylation observed over the course of life.
© 2025. The Author(s), under exclusive licence to Springer Nature America, Inc.
Conflict of interest statement
Competing interests: T.I. is a cofounder of Serinus and Data4Cure, is on their scientific advisory boards and has an equity interest in both companies. T.I. is on the scientific advisory board of IDEAYA Biosciences and has an equity interest. The terms of these arrangements have been reviewed and approved by the University of California, San Diego, in accordance with its conflict of interest policies. The other authors declare no competing interests.
Update of
-
Somatic mutation as an explanation for epigenetic aging.bioRxiv [Preprint]. 2023 Dec 9:2023.12.08.569638. doi: 10.1101/2023.12.08.569638. bioRxiv. 2023. Update in: Nat Aging. 2025 Apr;5(4):709-719. doi: 10.1038/s43587-024-00794-x. PMID: 38106096 Free PMC article. Updated. Preprint.
References
-
- Moore L. et al. The mutational landscape of human somatic and germline cells. Nature 597, 381–386 (2021). - PubMed
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
Research Materials