---
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
---

# mccartneybmi

Whole-blood DNAm LASSO score for body mass index (BMI), trained in Generation Scotland on an age-, sex-, and ancestry-adjusted phenotype residual and evaluated out of sample in LBC1936. BMI was log-transformed before residualization. The current pyaging implementation applies a sigmoid to the linear score, so the returned value is bounded and unitless. It is neither the original continuous phenotype residual nor a calibrated probability; the paper does not specify this sigmoid.

Model weights retain the original authors' terms; the pyaging software license does not relicense them.

| | |
|---|---|
| **Predicts** | body mass index |
| **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, ["mccartneybmi"])
```

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