| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - dna-methylation | |
| # hannum | |
| Whole-blood elastic-net predictor of chronological age from 71 CpG methylation fractions, derived in a 482-person primary cohort and validated in 174 independent participants. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. | |
| | | | | |
| |---|---| | |
| | **Predicts** | chronological age | | |
| | **Species** | Homo sapiens | | |
| | **Tissue** | whole blood | | |
| | **Data type** | DNA methylation | | |
| | **Model type** | elastic net regression | | |
| | **Year** | 2013 | | |
| ## Use with pyaging | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["hannum"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## Citation | |
| Hannum, G., et al. “Genome-wide methylation profiles reveal quantitative views of human aging rates.” Molecular Cell 49(2), 359–367 (2013). | |
| https://doi.org/10.1016/j.molcel.2012.10.016 | |