config.json

{
 "approved_by_author": "\u231b",
 "citation": "Zhang, Y., Wilson, R., Heiss, J. et al. DNA methylation signatures in peripheral blood strongly predict all-cause mortality. Nature Communications 8, 14617 (2017).",
 "citations": 421,
 "citations_date": "2026-10-02",
 "clock_name": "zhangmortality",
 "data_type": "DNA methylation",
 "doi": "https://doi.org/10.1038/ncomms14617",
 "journal": "Nature Communications",
 "last_author": "Hermann Brenner",
 "model_type": "weighted linear score",
 "n_features": 10,
 "notes": "Ten-CpG whole-blood mortality risk score. Pyaging implements the paper supplement's continuous LASSO-weighted score exactly (the sum of ten raw beta values multiplied by their published coefficients). The same study also defines a separate simplified 0-10 aberrant-methylation count based on cohort-specific quartile cutoffs.",
 "platform": [
  "Illumina 450K"
 ],
 "population": "older adults",
 "predicts": [
  "mortality risk"
 ],
 "research_only": null,
 "species": "Homo sapiens",
 "tissue": [
  "whole blood"
 ],
 "training_target": [
  "mortality"
 ],
 "unit": [
  "unitless"
 ],
 "version": "0.5.7",
 "year": 2017
}