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. C-reactive protein is supplied raw in mg/dL and natural-log-transformed inside the clock, with readings at or below 0.01 mg/dL clamped to that floor; before pyaging 0.5.0 the feature was named log_crp and the caller had to supply the log. Continuing to pass a pre-logged value biases the estimate downward: any pre-logged CRP below 1.01 mg/dL, which covers most healthy adults, lands on the clamp floor and returns the same answer as omitting CRP entirely — about four years younger than the correct value for a typical adult, so the estimate reads healthier than it is.

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