Epigenetic clocks are mathematical models that estimate biological age from the level of DNA methylation at hundreds of specific sites in the genome (CpG sites). With age the methylation pattern changes in a regular way, and from it one can predict age to within a few years.
These are among the strongest known biomarkers of aging: the gap between epigenetic and calendar age is linked to the risk of disease and death.
How epigenetic clocks work
With age the level of DNA methylation at certain points in the genome (CpG sites) changes in a regular way. A machine-learning algorithm selects a set of such sites and converts their methylation into an "age" in years. The first clocks were Horvath's (2013, 353 CpG sites, working across different tissues) and Hannum's (2013, 71 sites, blood).
Generations of clocks
First-generation clocks (DNAm age) were trained to predict calendar age. The second generation — PhenoAge and GrimAge — were trained on health and mortality measures, so they predict disease better. DunedinPACE estimates not age but the pace of aging.
What is proven and what is not
Epigenetic clocks are among the strongest predictors of mortality and age-related diseases. But for now this is a research tool: the result depends on the laboratory and tissue type, and there is not enough evidence that "rejuvenating" the clock readings by itself extends a person's life.
Calculate using this marker
Calculators where Epigenetic clocks is used directly:
Frequently asked questions
Where can I get a test for epigenetic age?
Some commercial laboratories offer it from a blood or saliva sample (DNA methylation analysis). Keep in mind that the methods differ and the results are still considered largely research-grade.
Can epigenetic clocks be "rejuvenated"?
In some studies a healthy lifestyle and certain interventions are associated with younger readings. But a causal link with life extension in humans has not yet been proven.
Related terms
Sources
- Wikipedia — Epigenetic clock
- Levine et al. An epigenetic biomarker of aging (Aging, 2018)
- Lu et al. DNA methylation GrimAge predicts lifespan (Aging, 2019)