dunedinpoam38

Whole-blood elastic-net estimator of the rate of biological aging, trained at age 38 against a longitudinal 18-biomarker Pace-of-Aging composite measured over ages 26–38.

Model weights retain the original authors' terms; the pyaging software license does not relicense them.

Predicts	pace of aging
Species	Homo sapiens
Tissue	whole blood
Data type	DNA methylation
Model type	elastic net regression
Year	2020

Use with pyaging

import pyaging as pya

pya.pred.predict_age(adata, ["dunedinpoam38"])

Browse every clock in the pyaging Clock Catalogue.

Citation

Belsky, D.W., Caspi, A., Arseneault, L. et al. Quantification of the pace of biological aging in humans through a blood test, the DunedinPoAm DNA methylation algorithm. eLife 9, e54870 (2020).

https://doi.org/10.7554/elife.54870