A DNA methylation clock for human age
A 353-CpG epigenetic clock predicts age across diverse human tissues.
Source
DNA methylation age of human tissues and cell types
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.
What they did
Trained/validated an elastic-net age predictor on thousands of Illumina methylation samples.
What they found
353 clock CpGs track age accurately across tissues; stem cells appear epigenetically young.
The limits
What it doesn't show
Not a causal aging therapy; accuracy varies by tissue/disease.
Key terms
- DNAm age
- Methylation-predicted age.
- Epigenetic clock
- CpG set tracking age.
- CpG
- CG dinucleotide site.
- Elastic net
- Regression selecting CpGs.
- Illumina arrays
- 27K/450K methylation platforms.
- Tissue-independent
- Works across sample types.
Flashcards
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Clock CpGs:
Common questions
CpGs?
353.
Human?
Yes.
Platforms?
27K/450K.
Predicts?
Age.
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