metadata
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
mccartneysmoking
Whole-blood DNAm LASSO score trained on log(smoking pack-years + 1), residualized for age, sex and ten genetic principal components. The returned linear score remains on that adjusted natural-log scale; it is not an absolute exposure in physical units. Evaluated out of sample in LBC1936.
Model weights retain the original authors' terms; the pyaging software license does not relicense them.
| Predicts | smoking exposure |
| Species | Homo sapiens |
| Tissue | whole blood |
| Data type | DNA methylation |
| Model type | LASSO regression |
| Year | 2018 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["mccartneysmoking"])
Browse every clock in the pyaging Clock Catalogue.
Citation
McCartney, D. L., et al. “Epigenetic prediction of complex traits and death.” Genome Biology 19, 136 (2018).