| { |
| "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 |
| } |
