config.json

{
 "approved_by_author": "\u231b",
 "citation": "McCartney, D. L., et al. \u201cEpigenetic prediction of complex traits and death.\u201d Genome Biology 19, 136 (2018).",
 "citations": 312,
 "citations_date": "2026-10-02",
 "clock_name": "mccartneybmi",
 "data_type": "DNA methylation",
 "doi": "https://doi.org/10.1186/s13059-018-1514-1",
 "journal": "Genome Biology",
 "last_author": "Riccardo E. Marioni",
 "model_type": "LASSO regression",
 "n_features": 1109,
 "notes": "Whole-blood DNAm LASSO score for body mass index (BMI), trained in Generation Scotland on an age-, sex-, and ancestry-adjusted phenotype residual and evaluated out of sample in LBC1936. BMI was log-transformed before residualization. The current pyaging implementation applies a sigmoid to the linear score, so the returned value is bounded and unitless. It is neither the original continuous phenotype residual nor a calibrated probability; the paper does not specify this sigmoid.",
 "platform": [
  "Illumina EPIC"
 ],
 "population": "adults",
 "postprocess": "sigmoid",
 "predicts": [
  "body mass index"
 ],
 "research_only": null,
 "species": "Homo sapiens",
 "tissue": [
  "whole blood"
 ],
 "training_target": [
  "body mass index"
 ],
 "unit": [
  "unitless"
 ],
 "version": "0.5.7",
 "year": 2018
}