{
 "approved_by_author": "\u231b",
 "citation": "Levine, M. E., et al. \"An epigenetic biomarker of aging for lifespan and healthspan.\" Aging 10.4 (2018): 573-591.",
 "citations": 3848,
 "citations_date": "2026-10-02",
 "clock_name": "dnamphenoage",
 "data_type": "DNA methylation",
 "doi": "https://doi.org/10.18632/aging.101414",
 "journal": "Aging",
 "last_author": "Steve Horvath",
 "model_type": "elastic net regression",
 "n_features": 513,
 "notes": "Blood DNA-methylation estimator trained by elastic net on 513 CpGs common to the 27K, 450K and EPIC arrays to reproduce a mortality-derived clinical Phenotypic Age. The parent DNAmPhenoAge coefficients were fitted on InCHIANTI 450K whole-blood data; the selected sites also occur on 27K and EPIC arrays.",
 "platform": [
  "Illumina 450K"
 ],
 "population": "adults",
 "predicts": [
  "phenotypic age"
 ],
 "research_only": null,
 "species": "Homo sapiens",
 "tissue": [
  "whole blood"
 ],
 "training_target": [
  "phenotypic age"
 ],
 "unit": [
  "years"
 ],
 "version": "0.5.7",
 "year": 2018
}