| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - dna-methylation | |
| # dnamic | |
| Whole-blood DNA-methylation predictor of intrinsic capacity, an average score across cognition, locomotion, psychological, sensory, and vitality domains; trained with tenfold cross-validated elastic net on INSPIRE-T and returning higher values for better capacity. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. | |
| | | | | |
| |---|---| | |
| | **Predicts** | intrinsic capacity | | |
| | **Species** | Homo sapiens | | |
| | **Tissue** | whole blood | | |
| | **Data type** | DNA methylation | | |
| | **Model type** | elastic net regression | | |
| | **Year** | 2025 | | |
| ## Use with pyaging | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["dnamic"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## Citation | |
| Fuentealba, M., Rouch, L., Guyonnet, S. et al. A blood-based epigenetic clock for intrinsic capacity predicts mortality and is associated with clinical, immunological and lifestyle factors. Nature Aging 5, 1207–1216 (2025). | |
| https://doi.org/10.1038/s43587-025-00883-5 | |