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

# cvdwesterman

Whole-blood DNA-methylation score for cardiovascular risk. The paper's final cross-study learner stacks cohort-specific elastic-net Cox models; the packaged pyaging implementation is a 235-CpG linear score followed by a sigmoid.

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

| | |
|---|---|
| **Predicts** | cardiovascular disease risk |
| **Species** | Homo sapiens |
| **Tissue** | whole blood |
| **Data type** | DNA methylation |
| **Model type** | elastic net Cox ensemble |
| **Year** | 2020 |

## Use with pyaging

```python
import pyaging as pya

pya.pred.predict_age(adata, ["cvdwesterman"])
```

Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io).

## Citation

Westerman, K. et al. Epigenomic assessment of cardiovascular disease risk and interactions with traditional risk metrics. Journal of the American Heart Association 9, e015299 (2020).

https://doi.org/10.1161/jaha.119.015299