cpgptpcgrimage3

Principal-component CpGPTGrimAge3 implementation combining chronological age, GrimAge2 DNAm proxies, and CpGPT-predicted plasma-protein proxies; 30 proxy inputs are projected to 29 PCs, entered with age into a Cox linear predictor, and calibrated to years. Supply derived methylation protein/lifestyle proxies and age, not a raw CpG matrix or measured proteomics. CpGPT protein proxies come from the proteins checkpoint on its trained standardized scale; required proxies must be present.

Model weights retain the original authors' terms; the pyaging software license does not relicense them. These weights are restricted to research use under the authors' terms.

Predicts	biological age, mortality risk
Species	Homo sapiens
Tissue	whole blood
Data type	DNA methylation
Model type	PCA + Cox regression
Year	2024

Use with pyaging

import pyaging as pya

pya.pred.predict_age(adata, ["cpgptpcgrimage3"])

Browse every clock in the pyaging Clock Catalogue.

Citation

de Lima Camillo, L. P., Sehgal, R., Armstrong, J., et al. CpGPT: a foundation model for DNA methylation. bioRxiv 2024.10.24.619766 (2024).

https://doi.org/10.1101/2024.10.24.619766