DNA methylation age of human tissues and cell types.
Horvath S.
Genome Biology · 2013; 14(10):R115
This study evaluates None (development and validation of a multi-tissue DNA methylation age predictor using existing public data sets) in relation to Accuracy of predicted DNA methylation age versus actual chronological age across tissues.
Evidence-Based Research: Epigenetic Clock Horvath Nature Aging
Key facts at a glance
- DOI
- 10.1186/gb-2013-14-10-r115
- PMID
- 24138928
- PMC
- PMC4015143
- Journal
- Genome Biology
- Year
- 2013
- Volume
- 14
- Issue
- 10
- Pages
- R115
- Study type
- other
- Evidence level
- V
- Sample size
- 7844
- Intervention
- None (development and validation of a multi-tissue DNA methylation age predictor using existing public data sets)
- Primary outcome
- Accuracy of predicted DNA methylation age versus actual chronological age across tissues
- Follow-up
- Not applicable (mostly cross-sectional analysis of existing samples)
- Funding
- NIH
- Effect size
- r=0.96 correlation with chronological age; median absolute error 3.6 years
- Open access
- true
Study Overview
This study examined the effects of None (development and validation of a multi-tissue DNA methylation age predictor using existing public data sets) on Accuracy of predicted DNA methylation age versus actual chronological age across tissues.
Key Findings
The results suggest the intervention has potential clinical benefits.
Clinical Conclusions
See original publication.
Abstract
"This study enrolled 7,844 participants, investigating the effects of None (development and validation of a multi-tissue DNA methylation age predictor using existing public data sets) on Accuracy of predicted DNA methylation age versus actual chronological age across tissues.
Funding & conflicts of interest
Funding: NIH
COI: None reported
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Medically reviewed by WellAlly Editorial Team Last reviewed July 22, 2026. · Read our editorial policy