| { |
| "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": 53, |
| "citations_date": "2026-07-05", |
| "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": "0.5.0", |
| "year": 2020 |
| } |
