| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - dna-methylation | |
| # grimage2b2m | |
| B2M is linked to kidney function, cardiovascular disease and inflammation; DNAm B2M is a GrimAge component. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. These weights are restricted to research use under the authors' terms. | |
| | | | | |
| |---|---| | |
| | **Predicts** | beta-2-microglobulin | | |
| | **Species** | Homo sapiens | | |
| | **Tissue** | whole blood | | |
| | **Data type** | DNA methylation | | |
| | **Model type** | elastic net regression | | |
| | **Year** | 2022 | | |
| ## Use with pyaging | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["grimage2b2m"]) | |
| ``` | |
| 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 | |