Borrus · bioRxiv : the preprint server for biology 2024 · Methodological re-analysis of longitudinal cohort datasets · n=?

When to Trust Epigenetic Clocks: Avoiding False Positives in Aging Interventions.

Cited 11 times in the scientific literature.

Level 3 - non-randomized controlled study

Methodological secondary analysis of longitudinal cohort datasets (by design analogy, not clinical CEBM)

PubMed 39484440 · doi:10.1101/2024.10.22.619720 · record verified 2026-08-30

What was done

The authors evaluated the measurement variability and consistency of 6 popular epigenetic clocks across longitudinal datasets containing either an aging intervention or an age-accelerating event. They compared standard clocks against versions re-trained for high test-retest reliability, contrasting clocks trained on chronological age with newer generations trained on mortality or rate of aging, and applied multiple testing corrections.

What was found

The abstract reports no numerical values or effect sizes. Newer generation clocks trained on mortality or rate of aging reliably captured aging events consistently across high-reliability versions and survived multiple testing correction. In contrast, clocks trained on chronological age frequently produced sporadic changes that did not replicate in high-reliability versions or under multiple-testing correction, suggesting prior published changes may be false positives.

Why it matters

This work demonstrates that first-generation epigenetic clocks often generate false-positive intervention effects due to technical noise, establishing that newer-generation or high-reliability clocks should be prioritized in longevity trials.

Limits

The study is a preprint that has not undergone peer review. The abstract does not disclose sample sizes, specific datasets analyzed, the exact identities of the 6 clocks, or quantitative performance metrics.

Cited by