phenoage

Clinical Phenotypic Age combines chronological age with nine blood biomarkers. The coefficients and age conversion follow Kuo et al. (2021), section 4.3. The leading 1 inside the logarithm in the 2019 erratum, used in pyaging 0.6.1, compressed scores near 141.50 years. In an unweighted check of 5,645 NHANES 2009–2010 adults, 98.2% of 0.6.1 scores fell within 0.1 years of 141.50. The Kuo equation restored the age scale while preserving mortality ranking. Supply raw C-reactive protein in mg/dL. pyaging floors it at 0.01 mg/dL before taking its natural logarithm. The Kuo calibration requires pyaging >=0.6.2.

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

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