Pan‐Epigenetic Age Prediction in Mammals

Epigenetic remodeling is a hallmark of aging, yet which epigenetic layers are most affected during aging-and the extent to which they are interrelated-is not well understood. Here, we perform a comprehensive analysis of epigenetic aging encompassing 6 histone marks and DNA methylation measured across 12 tissues from > 1000 humans and mice. We identify a synchronized pattern of age-related changes across these epigenetic layers, with all changes converging upon a common set of genes. Notably, an epigenetic clock based on these genes can accurately predict age using data from any layer (Spearman ρ: 0.70 in humans, 0.81 in mice). Applying this "pan-epigenetic" clock, we observe that histone modification and DNA methylation profiles agree in the prediction of which individuals are aging more rapidly or slowly. These results demonstrate that epigenetic modifications are subject to coordinated remodeling over the lifespan, offering a unified view of epigenetic aging.

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Publication Details

Journal
Aging Cell
Published
2026-01-27
DOI
https://doi.org/10.1111/acel.70380
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.00

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article

Pan‐Epigenetic Age Prediction in Mammals

Trey Ideker, Zane Koch, Adam Li
Aging Cell
Epigenetics and DNA Methylation
article

Pan‐Epigenetic Age Prediction in Mammals

Trey Ideker, Zane Koch, Adam Li
article en

Abstract

Epigenetic remodeling is a hallmark of aging, yet which epigenetic layers are most affected during aging-and the extent to which they are interrelated-is not well understood. Here, we perform a comprehensive analysis of epigenetic aging encompassing 6 histone marks and DNA methylation measured across 12 tissues from > 1000 humans and mice. We identify a synchronized pattern of age-related changes across these epigenetic layers, with all changes converging upon a common set of genes. Notably, an epigenetic clock based on these genes can accurately predict age using data from any layer (Spearman ρ: 0.70 in humans, 0.81 in mice). Applying this "pan-epigenetic" clock, we observe that histone modification and DNA methylation profiles agree in the prediction of which individuals are aging more rapidly or slowly. These results demonstrate that epigenetic modifications are subject to coordinated remodeling over the lifespan, offering a unified view of epigenetic aging.

Aging CellVol. 25(2)
University of California San Diego (US), La Jolla Bioengineering Institute (US)
Genome British Columbia, National Institutes of Health, Canadian Institutes of Health Research
Openalex Percentile: Top 77%
Epigenetics and DNA Methylation
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Pan‐Epigenetic Age Prediction in Mammals — Trey Ideker, Zane Koch, et al. · Aging Cell (2026) | TGRS Research Map | TGRS