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

# mayne

Placental elastic-net clock trained on pooled healthy human placenta methylation datasets; 62 selected CpGs predict gestational age and were used to test age acceleration in early-onset preeclampsia.

| | |
|---|---|
| **Predicts** | gestational age |
| **Species** | Homo sapiens |
| **Tissue** | placenta |
| **Data type** | DNA methylation |
| **Model type** | elastic net regression |
| **Year** | 2017 |

## Use with pyaging

```python
import pyaging as pya

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

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

## Citation

Mayne, Benjamin T., et al. "Accelerated placental aging in early onset preeclampsia pregnancies identified by DNA methylation." Epigenomics 9 (2017): 279–289.

https://doi.org/10.2217/epi-2016-0103