---
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