Evidence mapPaperPMID 42525215Full record

ArticleAging cell2026

Biological Versus Technical Reliability of Epigenetic Clocks and Implications for Disease Prognosis and Intervention Response.

Raghav Sehgal, Daniel S Borrus, John Gonzalez, Yaroslav Markov, Albert Higgins-Chen, Alzheimer's Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Aging cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Raghav SehgalDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-9387-1758
Daniel S BorrusDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-1493-0896
John GonzalezDepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-1020-8783
Yaroslav MarkovDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0001-8778-4909
Albert Higgins-ChenDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
Alzheimer's Disease Neuroimaging Initiative

Funding

Gruber FoundationImpetus GrantNIA NIH HHS NIA:1R01AG065403Yale University
6 · The paper itself

Abstract

Epigenetic clocks are widely used to estimate biological age and predict health outcomes, but their translational value depends not only on accuracy but also on reliability. Using the TranslAGE platform, we evaluated both technical and biological reliability across 18 DNA methylation-based aging biomarkers, including chronological, mortality, and pace-of-aging clocks. Most clocks demonstrated excellent technical reproducibility across replicate assays on EPIC and 450 K arrays. However, several showed sensitivity to experimental factors such as slide position and DNA extraction protocols. In contrast, PC-based clocks, particularly PCGrimAge and SystemsAge, remained robust across conditions. Biological reliability, assessed across repeated measures collected within short intervals under varying conditions such as meals, stress, and environmental exposures, was substantially lower. Most clocks showed only low to moderate stability which further decreased when adjusting for immune composition. Notably, technical reproducibility did not predict biological reliability. We further show that reliability directly impacts downstream applications. Clocks with higher reliability produced more stable associations with cognitive outcomes and more consistent responses to interventions, while less reliable clocks yielded variable or misleading results. These findings highlight a critical limitation in current epigenetic clocks. Improving biological reliability will be essential for advancing their use in clinical and interventional settings.

Indexed as

AgingEpigenesis, GeneticBiomarkersDNA MethylationHumansPrognosisReproducibility of ResultsBiomarkers

Identifiers

PMID42525215
PMCPMC13418614

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.