A biomarker that estimates biological age from molecular measurements.An aging clock is a way of estimating how old a person's body seems to be, rather than how many birthdays they have had. It works by taking a sample — usually blood, saliva, or a small piece of tissue — and measuring a set of molecular features that change in a fairly regular way as we grow older. Those features might be chemical tags attached to DNA, the levels of certain proteins, or patterns of gene activity. A computer model, trained on samples from many people of known ages, learns to map those measurements onto a number: the estimated biological age. If that number comes out higher than the person's actual age, we say they are aging faster than average; if lower, slower. The clock is not a countdown timer but a statistical summary of many small changes happening throughout the body.
The concept gained wide attention in 2013 when Steve Horvath, a geneticist at UCLA, published a multi-tissue DNA methylation clock that worked across many body tissues. Earlier work in the 2000s had shown that certain molecular markers correlate with age, but Horvath's clock was the first to be broadly applicable and accurate across different cell types. Since then, many variants have been developed, including clocks trained to predict health outcomes rather than just age.
The most common clocks use DNA methylation, a chemical mark added to DNA that tends to increase or decrease at specific sites as we age. Researchers measure the methylation state at hundreds of these sites at once. A machine-learning model, trained on thousands of samples with known chronological ages, finds the combination of sites that best predicts age. Once trained, the model can take a new sample and output a single age estimate. Other clocks use different inputs, such as the length of telomeres, levels of certain blood proteins, or composite scores from multiple types of data. The key is that the model is calibrated against real ages, then applied to new people to see how their predicted age compares.
Aging clocks are used in research to test whether interventions like diet, exercise, or drugs slow biological aging, and increasingly in clinical studies to identify people at higher risk of age-related diseases.
Some aging clocks can predict mortality risk better than chronological age, and a few have been shown to tick faster in people with chronic stress or certain illnesses.