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Epigenetic clocks

Quantifying stochasticity in the aging DNA methylome

Nature Aging volume 4, pages 755–758 (2024)Cite this article

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Aging-related DNA methylation changes are numerous. Their precise measurement has opened new avenues to explore aging-related disease pathology, including the construction of chronological and biological age predictors (termed DNA methylation ‘clocks’). Three studies investigate the substantial stochastic contribution to these epigenetic changes and further our understanding of aging biology, as well as of these predictors.

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Fig. 1: Aging related changes in the DNA methylome include quasi-stochastic and non-stochastic processes.

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  1. William Harvey Research Institute, Barts & The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK

    Christopher G. Bell

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  1. Christopher G. Bell
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Correspondence to Christopher G. Bell.

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The author declares no competing interests.

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Bell, C.G. Quantifying stochasticity in the aging DNA methylome. Nat Aging 4, 755–758 (2024). https://doi.org/10.1038/s43587-024-00634-y

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