pcbrainage

Brain chronological-age clock trained in dorsolateral prefrontal cortex. The original PCA and regression are composed algebraically without retraining; missing CpGs use the authors’ GSE74193 adult brain means. No age-acceleration residualization is performed.

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

Predicts	chronological age
Species	Homo sapiens
Tissue	brain cortex
Data type	DNA methylation
Model type	PCA + elastic net regression
Year	2022

Use with pyaging

import pyaging as pya

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

Browse every clock in the pyaging Clock Catalogue.

Citation

Thrush, K. L., Bennett, D. A., Gaiteri, C., Horvath, S., van Dyck, C. H., Higgins-Chen, A. T., and Levine, M. E. (2022). Aging the brain: multi-region methylation principal component based clock in the context of Alzheimer’s disease. Aging 14(14), 5641–5668.

https://doi.org/10.18632/aging.204196