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

# thompson

Full-lifespan multi-tissue mouse DNA-methylation clock fit by elastic net to RRBS CpG methylation across 1,147 samples from ten tissues and multiple strains; the 582-site all-CpG model estimates chronological age and detects intervention- and genotype-associated age acceleration.

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

| | |
|---|---|
| **Predicts** | chronological age |
| **Species** | Mus musculus |
| **Tissue** | adipose tissue, blood, cerebellum, brain cortex, heart, kidney, liver, lung, skeletal muscle, spleen |
| **Data type** | DNA methylation |
| **Model type** | elastic net regression |
| **Year** | 2018 |

## Use with pyaging

```python
import pyaging as pya

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

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

## Citation

Thompson, M. J., Chwiałkowska, K., Rubbi, L. et al. A multi-tissue full lifespan epigenetic clock for mice. Aging (Albany NY) 10, 2832–2854 (2018).

https://doi.org/10.18632/aging.101590