| { | |
| "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 | |
| } |