| { | |
| "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 | |
| } |