metadata
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
dnamphenoage
Blood DNA-methylation estimator trained by elastic net on 513 CpGs common to the 27K, 450K and EPIC arrays to reproduce a mortality-derived clinical Phenotypic Age. The parent DNAmPhenoAge coefficients were fitted on InCHIANTI 450K whole-blood data; the selected sites also occur on 27K and EPIC arrays.
Model weights retain the original authors' terms; the pyaging software license does not relicense them.
| Predicts | phenotypic age |
| Species | Homo sapiens |
| Tissue | whole blood |
| Data type | DNA methylation |
| Model type | elastic net regression |
| Year | 2018 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["dnamphenoage"])
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.