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

# grimage2

Mortality-risk epigenetic clock combining ten blood DNAm surrogate biomarkers with chronological age and sex; the Cox linear predictor is calibrated to an age-like value in years.

| | |
|---|---|
| **Predicts** | mortality risk |
| **Species** | Homo sapiens |
| **Tissue** | whole blood |
| **Data type** | DNA methylation |
| **Model type** | elastic net Cox regression |
| **Year** | 2022 |

## Use with pyaging

```python
import pyaging as pya

pya.pred.predict_age(adata, ["grimage2"])
```

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

## Citation

Lu, A. T., et al. “DNA methylation GrimAge version 2.” Aging 14(23): 9484–9549 (2022).

https://doi.org/10.18632/aging.204434