← All claims

Longevity & Aging

Can DNA "clocks" measure how fast you're really ageing?

The claim, precisely: epigenetic clocks correlates with biological age

Leans support Longevity & Aging 🔬 Includes disconfirming
RefutedContestedStrong support
consensus score 0.26

Probably modestly yes for predicting age, but it's only a correlation, not proof they track true biological ageing.

Evidence ladder

How far up the ladder this claim has climbed. A high consensus on a low rung means "consistent so far," not "proven in people."

Top evidence so far: Population patterns (Observational)

MechanismIn-vitroAnimalObservationalRCTMeta-analysis

How the studies fall

4 support 2 contradict 0 tested null 6 mixed · 12 sources, 6 independent groups

What the evidence shows

DNA-methylation clocks (Horvath 2013) predict chronological age accurately, but they are CORRELATIVE biomarkers - clock movement does NOT equal proven rejuvenation or lifespan gain (Teschendorff 2025; clock signal is partly stochastic drift).

The evidence (12)

SourceGradeStanceQualityFinding
Li
2025 · EBioMedicine
observational mixed moderate CpG-site clocks limited in biological interpretability; pathway-level clock (PathwayAge) needed for disease-specific aging mechanisms
Teschendorff
2025 · Nat Rev Genet
observational mixed high Review: clocks are robust age predictors but clock change does NOT equal proven rejuvenation or lifespan benefit
Ashapkin
2019 · Adv Exp Med Biol
mechanism mixed moderate Review questions whether clock is convenient marker vs active driver of aging; much age-methylation is stochastic at repeats
Ibanez-Cabellos
2026 · Biogerontology
observational mixed moderate Review: clocks robust age estimators but cautions on causal interpretation and clinical readiness for personalized aging
Li
2021 · EBioMedicine
observational supports high ESTHER cohort: GrimAge/PhenoAge acceleration independently predict all-cause mortality, validating clocks as biological-age biomarkers
Bertucci-Richter
2024 · Aging (Albany)
mechanism mixed moderate Clock signal driven by stochastic methylation disorder; clocks & true aging processes are decoupled - caution against treating clock as causal readout
Mitteldorf
2025 · Aging (Albany NY)
observational contradicts moderate Argues methylation clocks unreliable for evaluating anti-aging interventions; methylation under selection, clock change need not mean rejuvenation
Ying
2025 · Nature Aging
observational contradicts high Curation framework: ability to predict chronological age does NOT correlate with predicting mortality/outcomes; decouples prediction from biological aging
Horvath
2013 · Genome Biol
observational supports high Multi-tissue 353-CpG clock predicts chronological age accurately across human tissues - landmark biomarker, but correlation not causation
⚠️ correction-on-file (Crossref) - kept, corrigendum not retraction
Levine
2018 · Aging (Albany NY)
observational supports high 2nd-gen DNAmPhenoAge built on clinical phenotype outperforms 1st-gen clocks at predicting mortality/healthspan across cohorts
Tan
2026 · Clinical Epigenetics
observational mixed moderate Later-gen clocks (GrimAge/PhenoAge) predict breast-cancer survival better than Horvath/Hannum; first-gen age-predictors weakly prognostic
Hannum
2013 · Molecular Cell
observational supports high Landmark blood methylome model predicts chronological age (~96% correlation, ~3.9yr error); established methylation-age clock concept

Educational only, not medical advice. Grades and scores reflect published evidence weighted by study design and quality; see the methodology.