| { |
| "approved_by_author": "\u231b", |
| "citation": "Thrush, K. L., Bennett, D. A., Gaiteri, C., Horvath, S., van Dyck, C. H., Higgins-Chen, A. T., and Levine, M. E. (2022). Aging the brain: multi-region methylation principal component based clock in the context of Alzheimer\u2019s disease. Aging 14(14), 5641\u20135668.", |
| "citations": 40, |
| "citations_date": "2026-10-02", |
| "clock_name": "pcbrainage", |
| "data_type": "DNA methylation", |
| "doi": "https://doi.org/10.18632/aging.204196", |
| "journal": "Aging", |
| "last_author": "Morgan E. Levine", |
| "model_type": "PCA + elastic net regression", |
| "n_features": 357852, |
| "notes": "Brain chronological-age clock trained in dorsolateral prefrontal cortex. The original PCA and regression are composed algebraically without retraining; missing CpGs use the authors\u2019 GSE74193 adult brain means. No age-acceleration residualization is performed.", |
| "platform": [ |
| "Illumina 450K" |
| ], |
| "population": "adults", |
| "predicts": [ |
| "chronological age" |
| ], |
| "reference_values": true, |
| "research_only": null, |
| "species": "Homo sapiens", |
| "tissue": [ |
| "brain cortex" |
| ], |
| "training_target": [ |
| "chronological age" |
| ], |
| "unit": [ |
| "years" |
| ], |
| "version": "0.5.4", |
| "year": 2022 |
| } |
