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Epigenetics

Three CpGs track blood aging

Weidner CI, Lin Q, Koch CM, et al. · Genome biology · 2014

Open access · cc by · source: Europe PMC

Age-related blood DNA methylation at a few CpGs predicts chronological age with ~3.3-year MAD.

Study at a glance

Design
Computational / modelling — Combined blood DNAm datasets to select age-related CpGs and train a 3-site age predictor
N
N=575 · 575 DNAm profiles from four studies, ages 0–78
Population
Human blood DNA methylation profiles across childhood to older adulthood
Outcome
Epigenetic age prediction from blood CpG methylation

Structured fields used in claim comparison tables when every cited study has a complete layer.

Key findings

102 AR-CpGs (58 hypo, 44 hyper); a three-CpG signature predicts age with MAD 3.34 years (R²=0.98).

Methodology

Combined 575 blood DNAm profiles (ages 0–78), selected age-correlated CpGs, and trained predictors including a 3-site bisulfite assay.

Limitations

Does not prove CpG changes cause aging diseases.

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.

  • Poverty exposure associates with accelerated biological aging in population data.

    A population-representative analysis links living in poverty with accelerated biological aging markers.

    Scope note — clock method paper ≠ poverty exposure study

    Limits the claim's scope: a different population, assay, or outcome.

  • Blood DNA methylation can track aging as a measurable phenotype.

    Foundational work shows aging of blood can be tracked by DNA methylation patterns—the measurement substrate many acceleration studies use.

    Evidence for the claim as stated.

  • Poverty linked to acceleration in population sample vs Methylation tracks chronological aging in blood

    Evidence for the claim as stated.

  • SupportsBisulfite Sequencingmethod

    From 575 blood DNA-methylation profiles (ages 0–78), 102 age-related CpGs were selected (58 hypo, 44 hyper). A three-CpG bisulfite signature predicted age with mean absolute deviation 3.34 years (R²=0.98). CpG changes were not shown to cause ageing diseases.

    Evidence for the claim as stated.

  • SupportsBisulfite Sequencingmethod

    Bisulfite designs here are not one map. VTRNA2-1 is a multi-tissue epiallele stable ≥10 years and sensitive to periconceptional season; the ageing paper compresses 102 AR-CpGs into a 3-site blood clock (MAD 3.34 years); Yoruba 27K arrays link methylation to genetics and expression in 77 LCLs. A clock CpG is not an environment-set metastable epiallele.

    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.

Related papers in this topic

Same topic cluster — not a recommendation engine.