phenoage

Clinical Phenotypic Age combines chronological age with nine blood biomarkers selected by penalized mortality regression and expresses mortality risk as an equivalent age in years.

Predicts	phenotypic age
Species	Homo sapiens
Tissue	blood
Data type	clinical biomarkers
Model type	penalized hazards regression with Gompertz calibration
Year	2018

Use with pyaging

import pyaging as pya

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

Browse every clock in the pyaging Clock Catalogue.

Citation

Levine, M. E., et al. "An epigenetic biomarker of aging for lifespan and healthspan." Aging 10.4 (2018): 573-591.

https://doi.org/10.18632/aging.101414