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

# weidner

Three-site whole-blood epigenetic-age estimator. The sites were selected from Illumina 27K blood profiles, and the final multivariate linear equation was fitted on targeted bisulfite-pyrosequencing beta values from 82 blood samples and validated in 69 independent samples. The published PDE4C measurement is a pyrosequenced CpG upstream of array probe cg17861230. The package uses cg17861230 as its feature label; supplying that array probe directly is an approximation and does not reproduce the published assay.

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

| | |
|---|---|
| **Predicts** | biological age |
| **Species** | Homo sapiens |
| **Tissue** | whole blood |
| **Data type** | DNA methylation |
| **Model type** | linear regression |
| **Year** | 2014 |

## Use with pyaging

```python
import pyaging as pya

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

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

## Citation

Weidner, C. I., Lin, Q., Koch, C. M., et al. (2014). Aging of blood can be tracked by DNA methylation changes at just three CpG sites. Genome Biology, 15, R24.

https://doi.org/10.1186/gb-2014-15-2-r24