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

# abec

Adult Blood-based EPIC Clock trained by elastic-net regression of chronological age on whole-blood EPIC methylation in 1,592 MoBa-START adults aged 19–59 years.

| | |
|---|---|
| **Predicts** | chronological age |
| **Species** | Homo sapiens |
| **Tissue** | whole blood |
| **Data type** | DNA methylation |
| **Model type** | elastic net regression |
| **Year** | 2020 |

## Use with pyaging

```python
import pyaging as pya

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

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

## Citation

Lee, Yunsung, et al. "Blood-based epigenetic estimators of chronological age in human adults using DNA methylation data from the Illumina MethylationEPIC array." BMC genomics 21 (2020): 1-13.

https://doi.org/10.1186/s12864-020-07168-8