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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
```python
import pyaging as pya
pya.pred.predict_age(adata, ["mccartneysmoking"])
```
Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io).
## Citation
McCartney, D. L., et al. “Epigenetic prediction of complex traits and death.” Genome Biology 19, 136 (2018).
https://doi.org/10.1186/s13059-018-1514-1
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