Epigenetics
Three CpGs track blood aging
Open access · cc by · source: Europe PMC
Age-related blood DNA methylation at a few CpGs predicts chronological age with ~3.3-year MAD.
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.
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.
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.
Poverty linked to acceleration in population sample vs Methylation tracks chronological aging in blood
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.
Discoveries this paper informs or conflicts with
- One methylation clock reads age across nearly every human tissue
This paper informs this development.
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.
Inspect source passages
Three CpGs track blood aging
These passages occur verbatim in the stored paper text. They support the points listed below; they do not verify every statement in the explanation.
575 DNAm profiles combined.
We combined 575 DNAm profiles derived from blood cells from four different studies spanning an age range of 0 to 78 years (Table S1 in Additional file ) [,,,].
Age prediction uses only three CpG sites.
an epigenetic aging signature that requires measurement of DNAm levels at only three CpG sites by bisulfite sequencing to facilitate reliable age predictions.
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.
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