metadata
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
dunedinpace
Whole-blood elastic-net pace-of-aging biomarker trained at age 45 against a 20-year longitudinal slope composite of 19 organ-system biomarkers. PyAging follows the official 20,000-probe quantile-normalization panel: 173 scoring CpGs plus 19,827 background probes.
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 | pace of aging |
| Species | Homo sapiens |
| Tissue | whole blood |
| Data type | DNA methylation |
| Model type | elastic net regression |
| Year | 2022 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["dunedinpace"])
Browse every clock in the pyaging Clock Catalogue.
Citation
Belsky, D. W., Caspi, A., Corcoran, D. L., et al. (2022). DunedinPACE, a DNA methylation biomarker of the pace of aging. eLife, 11, e73420.