config.json

{
 "approved_by_author": "\u231b",
 "citation": "Westerman, K. et al. Epigenomic assessment of cardiovascular disease risk and interactions with traditional risk metrics. Journal of the American Heart Association 9, e015299 (2020).",
 "citations": 57,
 "citations_date": "2026-10-02",
 "clock_name": "cvdwesterman",
 "data_type": "DNA methylation",
 "doi": "https://doi.org/10.1161/jaha.119.015299",
 "journal": "Journal of the American Heart Association",
 "last_author": "Jos\u00e9 M. Ordov\u00e1s",
 "model_type": "elastic net Cox ensemble",
 "n_features": 235,
 "notes": "Whole-blood DNA-methylation score for cardiovascular risk. The paper's final cross-study learner stacks cohort-specific elastic-net Cox models; the packaged pyaging implementation is a 235-CpG linear score followed by a sigmoid.",
 "platform": [
  "Illumina 450K"
 ],
 "population": "adults",
 "postprocess": "sigmoid",
 "predicts": [
  "cardiovascular disease risk"
 ],
 "research_only": null,
 "species": "Homo sapiens",
 "tissue": [
  "whole blood"
 ],
 "training_target": [
  "cardiovascular disease"
 ],
 "unit": [
  "probability"
 ],
 "version": "0.5.7",
 "year": 2020
}