grimage
Age-calibrated mortality-risk estimator built in two stages from DNAm surrogates for plasma proteins and smoking pack-years, chronological age, and sex.
Model weights retain the original authors' terms; the pyaging software license does not relicense them. These weights are restricted to research use under the authors' terms.
| Predicts | mortality risk |
| Species | Homo sapiens |
| Tissue | whole blood |
| Data type | DNA methylation |
| Model type | two-stage elastic net + Cox regression |
| Year | 2019 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["grimage"])
Browse every clock in the pyaging Clock Catalogue.
Citation
Lu, Ake T., et al. "DNA methylation GrimAge strongly predicts lifespan and healthspan." Aging (Albany NY) 11 (2019): 303–327.
- Downloads last month
- 303
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support