config.json

{
 "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
}