Claim Check: "Biological Age Tests Predict How Long You Will Live"
A plain-language check of the claim that a biological age test can predict how long you will live: what group studies show, and what they do not show about one person.
Content last updated . This page has not been medically reviewed.
Labels used here: promising but limited (a real signal with important gaps), insufficient evidence (too little to judge), marketing claim (not tested as worded). See How We Label Evidence in Longevity Research.
What the studies actually show
| Clock | What the paper reported |
|---|---|
| PhenoAge (2018) | Reported to outperform earlier measures for predicting outcomes including all-cause mortality. [1] |
| GrimAge (2019) | Reported as standing out among existing clocks for predicting time to death. [2] |
| DunedinPACE (2022) | Measures the pace of aging; associated with illness, disability and mortality. [3] |
Pooled studies agree on direction. A 13-cohort analysis (13,089 people) found epigenetic age predicted death beyond calendar age and traditional risk factors. [4] A systematic review of 23 articles (41,607 participants) found each 5-year increase in DNA methylation age was linked to an 8 to 15% higher risk of death, but called the link to disease and longevity inconclusive and said positive publication bias needs to be considered. [5]
Note who built these tools. The GrimAge and PhenoAge papers disclosed patent applications held by a university, [2][1] and the DunedinPACE authors disclosed an invention licensed to a commercial entity. [3] Disclosure is normal in this field and is context, not proof of bias.
Why this does not become "your lifespan"
- Groups are not individuals. The summaries above describe averages across thousands of people. The meta-analysis authors said further research is needed to establish whether DNA methylation age can serve as a clinical biomarker. [5]
- Repeat tests can disagree. One study found technical noise produced deviations of up to 9 years between replicates for six prominent clocks. [6]
- Validation has no agreed standard. A 2024 review noted no consensus on how biomarkers of aging should be validated before clinical use. [7]
- Three kinds of validity. A test must measure accurately (analytical validity), relate to a condition (clinical validity), and lead to better outcomes when used (clinical utility). A 2026 review concluded that only a minority of biomarkers currently meet all three thresholds for preventive use in general practice. [8]
- Changing the number is not changing the outcome. In a two-year calorie-restriction trial, one clock (DunedinPACE) changed slightly but others did not, effects were small, and the authors said a conclusive test needs long follow-up on disease and death. [9]
How to evaluate a biological age claim
Ask which clock, in whom it was tested, what it was compared with, whether repeat results are shown, and what you would do differently based on the number. For the clocks themselves see Biological Age Clocks Compared, for consumer kits Direct-to-Consumer Epigenetic Age Tests, and for the wider picture Biomarkers and Biological Age Tests. If a result worries you, talk with a clinician rather than a test seller; see talking with a health professional.Frequently asked questions
Can a biological age test tell me how long I will live?
No. Studies show an average link between older-reading clocks and earlier death across large groups, [4] but authors of a review said more research is needed before it can serve as a clinical biomarker. [5]
How consistent are epigenetic clocks on repeat testing?
One analysis found deviations of up to 9 years between replicates for six clocks, and presented a computational method that improved agreement. [6]
If my biological age drops, have I gained years of life?
Not shown. In a calorie-restriction trial one clock moved slightly, but the authors said proof needs long follow-up on disease and death. [9]
More details: evidence, limits and cautions
The details behind this page: cautions, limits of the evidence and where sources disagree. Open any note to read it.
What we did not find
References
- An epigenetic biomarker of aging for lifespan and healthspan. Aging (Albany NY) 2018. PubMed 29676998. Read 2026-10-22.
- DNA methylation GrimAge strongly predicts lifespan and healthspan. Aging (Albany NY) 2019. PubMed 30669119. Read 2026-10-22.
- DunedinPACE, a DNA methylation biomarker of the pace of aging. eLife 2022. PubMed 35029144. Read 2026-10-22.
- DNA methylation-based measures of biological age: meta-analysis predicting time to death. Aging (Albany NY) 2016. PubMed 27690265. Read 2026-10-22 (abstract via Europe PMC).
- The epigenetic clock as a predictor of disease and mortality risk: a systematic review and meta-analysis. Clin Epigenetics 2019. PubMed 30975202. Read 2026-10-22 (abstract via Europe PMC).
- A computational solution for bolstering reliability of epigenetic clocks. Nat Aging 2022. PubMed 36277076. Read 2026-10-22.
- Validation of biomarkers of aging. Nat Med 2024. PubMed 38355974. Read 2026-10-22.
- Predictive biomarkers for asymptomatic adults: opportunities, risks, and guidance for general practice. Diagnostics (Basel) 2026. PubMed 41594172. Read 2026-10-22 (abstract via Europe PMC).
- Effect of long-term caloric restriction on DNA methylation measures of biological aging in healthy adults from the CALERIE trial. Nature Aging 2023. PubMed 37118425. Read 2026-10-22 (abstract via Europe PMC).
- Bridging expectations and science: a roadmap for the future of longevity interventions. Biogerontology 2025. PubMed 40591010. Read 2026-10-22 (abstract via Europe PMC).