pcgrimagepai1

Standalone principal-component proxy trained to reproduce the original DNAm PAI1 score. Coefficients are composed exactly from the author PCA rotation and proxy regression. CpGs use the author GSE40279 reference. Sex (female=1, male=0) and chronological age must be supplied when selected by the original component regression; missing demographic inputs are rejected. Selected demographic inputs: female.

Model weights retain the original authors' terms; the pyaging software license does not relicense them.

Predicts	PAI-1
Species	Homo sapiens
Tissue	whole blood
Data type	DNA methylation
Model type	PCA + elastic net regression
Year	2022

Use with pyaging

import pyaging as pya

pya.pred.predict_age(adata, ["pcgrimagepai1"])

Browse every clock in the pyaging Clock Catalogue.

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): 644–661.

https://doi.org/10.1038/s43587-022-00248-2