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

# encen40

Elastic-net DNAm-age clock trained in 7,039 people aged 40–115, including centenarians, to reduce extreme-old-age underestimation.

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

| | |
|---|---|
| **Predicts** | chronological age |
| **Species** | Homo sapiens |
| **Tissue** | whole blood, saliva, buccal epithelium |
| **Data type** | DNA methylation |
| **Model type** | elastic net regression |
| **Year** | 2023 |

## Use with pyaging

```python
import pyaging as pya

pya.pred.predict_age(adata, ["encen40"])
```

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

## Citation

Dec, Eric, et al. "Centenarian clocks: epigenetic clocks for validating claims of exceptional longevity." GeroScience 45 (2023): 1817–1835.

https://doi.org/10.1007/s11357-023-00731-7