pyaging/pcgrimage

1{2 "approved_by_author": "\u231b",3 "citation": "Higgins-Chen, Albert T., et al. \"A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking.\" Nature Aging 2 (2022): 644\u2013661.",4 "citations": 497,5 "citations_date": "2026-07-05",6 "clock_name": "pcgrimage",7 "data_type": "DNA methylation",8 "doi": "https://doi.org/10.1038/s43587-022-00248-2",9 "journal": "Nature Aging",10 "last_author": "Morgan E. Levine",11 "model_type": "PCA + elastic net regression",12 "n_features": 78466,13 "notes": "Principal-component proxy trained to reproduce the original DNAm GrimAge score; age and sex are additional model inputs.",14 "platform": [15  "Illumina 450K"16 ],17 "population": "adults",18 "predicts": [19  "mortality risk"20 ],21 "reference_values": true,22 "research_only": null,23 "species": "Homo sapiens",24 "tissue": [25  "whole blood"26 ],27 "training_target": [28  "DNAm GrimAge output"29 ],30 "unit": [31  "years"32 ],33 "version": "0.5.0",34 "year": 202235}