Are biological age tests actually accurate?
Biological age tests such as GrimAge and DunedinPACE are associated with health outcomes in scientific research, but no clinical standards yet exist to use them reliably as a personal health test.
Epigenetic clocks read chemical markers on your DNA that change as you grow older. A clock that estimates calendar age scores an average deviation of 2.3 years. That sounds precise, but the real question is whether such a test also tells you something about how healthy you are for your age.
GrimAge is currently the best-supported test. It combines DNA markers with estimates of seven blood proteins and your smoking history. In large validation studies involving thousands of participants it showed a statistically strong association with risk of death, heart disease and cancer. These are, however, associations, not proven cause-and-effect relationships.
PhenoAge, based purely on blood samples, also outperforms earlier clocks in predicting mortality, various cancers and Alzheimer's disease. People whose PhenoAge is higher than their calendar age show more signs of chronic inflammation and less activity in cellular repair processes. Here too, we are dealing with associations.
DunedinPACE works differently: it does not measure an 'age number' but the pace of ageing, derived from decline across 19 organ measurements over twenty years. The test scores high on repeatability and adds predictive value on top of GrimAge. A cheek-swab variant (CheekAge) has a lower threshold for use but was validated exclusively by researchers employed by the company behind the test, which makes the independence of those findings uncertain.
The biggest problem is that there is still no consensus on what a biological age test should actually measure or how it should be used clinically. A broad expert consortium concludes that standards and validation protocols are largely absent. That means: GrimAge and DunedinPACE are scientifically promising as research instruments, but as consumer products they confront you with interpretation problems that have not yet been resolved.
Claims based on PMID 29676998 (PhenoAge), 30669119 (GrimAge), 35029144 (DunedinPACE), 36855161 (accuracy estimate 2.3 years), 29643443 (epigenetic clocks in general), 38441802 (CheekAge, conflict of interest), 37657418 (consensus problem).
How reliable are the biological age tests you can buy online?
The available studies offer no answer to this question; whether online biological age tests are reliable cannot be inferred from them. Look critically for independent validation studies before purchasing such a test.
How can I measure my biological age?
Epigenetic clocks, in particular GrimAge and PhenoAge, currently offer the best estimate of your biological age, but they are not yet ready for straightforward home use and require expert interpretation.
How reliable is a saliva test for biological age?
A saliva test for biological age is not yet reliable enough for personal use: average errors of seven to nine years and algorithms that are not well calibrated for saliva make the results difficult to interpret. Hold off on drawing conclusions until larger, saliva-specific validation studies become available.
Can you really lower your biological age, and does the research support this?
There are promising indications that biological age is measurable and perhaps controllable, but clinical evidence that you can truly and lastingly lower that age is still lacking. Wait for larger studies before basing major decisions on this.
How large can the difference between my chronological age and my biological age be?
The typical spread between your biological and calendar age is around one to two years. Studies mention no hard upper limit, but biological age does predict health risks better than your year of birth.
How reliable are epigenetic clocks for measuring your biological age?
Epigenetic clocks are reliable instruments for measuring biological age and predict mortality better than calendar age. They measure an association, not a cause, and do not work equally well in every cell type. Use the reading as a guide, not as a definitive verdict.