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Regression modelBiological aging / molecular epigenetics

Epigenetic Clock (DNA Methylation Age)

An epigenetic clock is a statistical predictor that estimates age from patterns of DNA methylation, the chemical marks on the genome that change in a regular way over the life course. The most influential is Steve Horvath's 2013 multi-tissue clock, which predicts chronological age from methylation levels at 353 specific CpG sites using a penalized regression model. Methylation is measured as a beta-value between zero and one at each site, representing the fraction of cells in which that site is methylated, and the clock combines a weighted set of these values into a predicted DNA methylation age, or DNAm age. Remarkably, Horvath's clock works across many tissues and cell types from the same individual, suggesting it captures a fundamental aging process rather than a tissue-specific quirk. The difference between predicted DNAm age and actual chronological age, known as epigenetic age acceleration, serves as a biomarker of biological aging. Age acceleration predicts mortality and a range of age-related conditions, which has made epigenetic clocks central to modern aging research.

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  1. Horvath, S. (2013). DNA methylation age of human tissues and cell types. Genome Biology, 14(10), R115. DOI: 10.1186/gb-2013-14-10-r115

How to cite this page

ScholarGate. (2026, June 23). Epigenetic Clock (Horvath DNA Methylation Age). ScholarGate. https://scholargate.app/en/social-gerontology/epigenetic-clock

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ScholarGateEpigenetic Clock (DNA Methylation Age) (Epigenetic Clock (Horvath DNA Methylation Age)). Retrieved 2026-06-24 from https://scholargate.app/en/social-gerontology/epigenetic-clock · Dataset: https://doi.org/10.5281/zenodo.20539026