| --- |
| license: mit |
| library_name: pyaging |
| tags: |
| - pyaging |
| - aging-clock |
| - biology |
| - dna-methylation |
| --- |
| |
| # grimage2 |
|
|
| Mortality-risk epigenetic clock combining ten blood DNAm surrogate biomarkers with chronological age and sex; the Cox linear predictor is calibrated to an age-like value in years. |
|
|
| | | | |
| |---|---| |
| | **Predicts** | mortality risk | |
| | **Species** | Homo sapiens | |
| | **Tissue** | whole blood | |
| | **Data type** | DNA methylation | |
| | **Model type** | elastic net Cox regression | |
| | **Year** | 2022 | |
|
|
| ## Use with pyaging |
|
|
| ```python |
| import pyaging as pya |
| |
| pya.pred.predict_age(adata, ["grimage2"]) |
| ``` |
|
|
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). |
|
|
| ## Citation |
|
|
| Lu, A. T., et al. “DNA methylation GrimAge version 2.” Aging 14(23): 9484–9549 (2022). |
|
|
| https://doi.org/10.18632/aging.204434 |
|
|
