A method that uses DNA methylation levels at specific sites to estimate an organism's biological age.An epigenetic clock is a way of estimating an organism's biological age from chemical marks on its DNA rather than from the calendar. The most common version measures methylation at a set of specific CpG sites and combines those measurements with a mathematical formula to produce an age estimate. The result often tracks how worn the body seems — how well tissues function, how high the risk of age-related disease is — better than the number of birthdays does. Two individuals born on the same day can have different epigenetic ages, and interventions such as diet, exercise, or disease can shift the clock one way or the other.
The first widely used epigenetic clock was described by Steve Horvath in 2013, based on methylation data from many human tissues. Since then, numerous variants have been developed for different species and purposes.
Researchers collect DNA from a tissue sample, measure methylation at hundreds of chosen sites, and feed those numbers into a model — typically a regression trained on large groups of people of known age. The model learns which sites tend to gain or lose methylation as people get older, and it outputs a single number. Some clocks are trained to predict chronological age; others are trained to predict health outcomes or mortality risk, which is why different clocks can disagree. Because methylation patterns change in fairly regular ways with age, the estimate is surprisingly accurate for a measurement that uses no direct clockwork.
Epigenetic clocks are used in aging research to test whether a drug, diet, or lifestyle change slows biological aging, and they are being explored as risk markers in epidemiology and clinical studies.
Some epigenetic clocks work across many different tissues — a sample of blood, skin, or brain can give a comparable age estimate — which is unusual because most molecular markers are tissue-specific.