pcskinandblood

Principal-component proxy of the skin-and-blood age clock, trained against the original Horvath2 score using skin, blood, and fibroblast datasets.

Predicts	chronological age
Species	Homo sapiens
Tissue	skin, whole blood, cultured fibroblasts
Data type	DNA methylation
Model type	PCA + elastic net regression
Year	2022

Use with pyaging

import pyaging as pya

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

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