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.

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"])

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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).

https://doi.org/10.1038/ncomms14617