metadata
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
zhangmortality
Ten-CpG whole-blood mortality risk score. Pyaging implements the paper supplement's continuous LASSO-weighted score exactly (the sum of ten raw beta values multiplied by their published coefficients). The same study also defines a separate simplified 0-10 aberrant-methylation count based on cohort-specific quartile cutoffs.
Model weights retain the original authors' terms; the pyaging software license does not relicense them.
| Predicts | mortality risk |
| Species | Homo sapiens |
| Tissue | whole blood |
| Data type | DNA methylation |
| Model type | weighted linear score |
| Year | 2017 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["zhangmortality"])
Browse every clock in the pyaging Clock Catalogue.
Citation
Zhang, Y., Wilson, R., Heiss, J. et al. DNA methylation signatures in peripheral blood strongly predict all-cause mortality. Nature Communications 8, 14617 (2017).