| { |
| "approved_by_author": "\u2705", |
| "citation": "Belsky, D. W., Caspi, A., Corcoran, D. L., et al. (2022). DunedinPACE, a DNA methylation biomarker of the pace of aging. eLife, 11, e73420.", |
| "citations": 1106, |
| "citations_date": "2026-10-02", |
| "clock_name": "dunedinpace", |
| "data_type": "DNA methylation", |
| "doi": "https://doi.org/10.7554/elife.73420", |
| "journal": "eLife", |
| "last_author": "Terrie E. Moffitt", |
| "model_type": "elastic net regression", |
| "n_features": 20000, |
| "notes": "Whole-blood elastic-net pace-of-aging biomarker trained at age 45 against a 20-year longitudinal slope composite of 19 organ-system biomarkers. PyAging follows the official 20,000-probe quantile-normalization panel: 173 scoring CpGs plus 19,827 background probes.", |
| "platform": [ |
| "Illumina EPIC" |
| ], |
| "population": "adults", |
| "predicts": [ |
| "pace of aging" |
| ], |
| "preprocess": "quantile_normalization_with_gold_standard", |
| "reference_values": true, |
| "research_only": true, |
| "species": "Homo sapiens", |
| "tissue": [ |
| "whole blood" |
| ], |
| "training_target": [ |
| "pace of aging" |
| ], |
| "unit": [ |
| "biological years per chronological year" |
| ], |
| "version": "0.5.7", |
| "year": 2022 |
| } |
