| --- |
| license: mit |
| library_name: pyaging |
| tags: |
| - pyaging |
| - aging-clock |
| - biology |
| - dna-methylation |
| --- |
| |
| # systemsage |
|
|
| Composite Systems Age integrates the 11 mortality-associated physiological-system scores plus a DNAm chronological-age prediction through PCA and Cox elastic-net regression, then rescales the result to an age-like value. |
|
|
| | | | |
| |---|---| |
| | **Predicts** | multisystem biological age | |
| | **Species** | Homo sapiens | |
| | **Tissue** | whole blood | |
| | **Data type** | DNA methylation | |
| | **Model type** | PCA + elastic net regression | |
| | **Year** | 2025 | |
|
|
| ## Use with pyaging |
|
|
| ```python |
| import pyaging as pya |
| |
| pya.pred.predict_age(adata, ["systemsage"]) |
| ``` |
|
|
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). |
|
|
| ## Citation |
|
|
| Sehgal, R., Markov, Y., Qin, C., et al. (2025). Systems Age: a single blood methylation test to quantify aging heterogeneity across 11 physiological systems. Nature Aging, 5, 1880–1896. |
|
|
| https://doi.org/10.1038/s43587-025-00958-3 |
|
|
