Epigenetics
A DNA methylation clock for human age
Open access · cc by · source: Europe PMC
A 353-CpG epigenetic clock predicts age across diverse human tissues.
Study at a glance
- Design
- Computational / modelling — Elastic-net DNA methylation age predictor trained/validated across multi-tissue Illumina datasets
- N
- N=7844 · 7,844 non-cancer samples from 82 datasets used in the overall analysis (cancer sets analysed separately)
- Population
- Human tissues and cell types with Illumina DNA methylation arrays
- Outcome
- Multi-tissue epigenetic age from 353 clock CpGs
Structured fields used in claim comparison tables when every cited study has a complete layer.
Key findings
353 clock CpGs track age accurately across tissues; stem cells appear epigenetically young.
Methodology
Trained/validated an elastic-net age predictor on thousands of Illumina methylation samples.
Limitations
Not a causal aging therapy; accuracy varies by tissue/disease.
How this study connects
Role on claims
Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.
Multiple empirical papers in this library examine epigenetics with mechanistic biological findings.
Evidence for the claim as stated.
353 clock CpGs track age accurately across tissues; stem cells appear epigenetically young.
Evidence for the claim as stated.
Systems and scales differ across epigenetics studies (species, tissues, methods), so mechanisms should not be over-generalised.
Evidence for the claim as stated.
Open questions
Tensions this paper is part of
From concept pages' “where studies disagree.” Disagreement means the same question; scope means different assays, populations, or outcomes.
Systems and scales differ across epigenetics studies (species, tissues, methods), so mechanisms should not be over-generalised.
- Supports · Epigenetic locking of Foxp3 in Tregs
- Supports · Genetics shapes methylation and expression
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Same topic cluster — not a recommendation engine.