| { |
| "approved_by_author": "\u231b", |
| "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.", |
| "citations": 546, |
| "citations_date": "2026-10-02", |
| "clock_name": "pchorvath2013", |
| "data_type": "DNA methylation", |
| "doi": "https://doi.org/10.1038/s43587-022-00248-2", |
| "journal": "Nature Aging", |
| "last_author": "Morgan E. Levine", |
| "model_type": "PCA + elastic net regression", |
| "n_features": 78464, |
| "notes": "Principal-component proxy of the 2013 Horvath pan-tissue clock, trained against the original clock score using substituted multi-tissue datasets.", |
| "platform": [ |
| "Illumina 450K", |
| "Illumina EPIC" |
| ], |
| "population": "all ages", |
| "postprocess": "anti_log_linear", |
| "predicts": [ |
| "chronological age" |
| ], |
| "reference_values": true, |
| "research_only": null, |
| "species": "Homo sapiens", |
| "tissue": [ |
| "multi-tissue" |
| ], |
| "training_target": [ |
| "Horvath clock output" |
| ], |
| "unit": [ |
| "years" |
| ], |
| "version": "0.5.7", |
| "year": 2022 |
| } |
