Modelpublic

pyaging/grimage2

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Model Card

grimage2

Mortality-risk epigenetic clock combining ten blood DNAm surrogate biomarkers with chronological age and sex; the Cox linear predictor is calibrated to an age-like value in years.


Predicts	mortality risk
Species	Homo sapiens
Tissue	whole blood
Data type	DNA methylation
Model type	elastic net Cox regression
Year	2022

Use with pyaging

python

import pyaging as pya

pya.pred.predict_age(adata, ["grimage2"])

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Citation

Lu, A. T., et al. “DNA methylation GrimAge version 2.” Aging 14(23): 9484–9549 (2022).

https://doi.org/10.18632/aging.204434