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.

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.

https://doi.org/10.7554/elife.73420