intrinclock

Multi-tissue chronological-age clock designed by excluding CpGs associated with CD8+ T-cell differentiation, then fitting two sequential elastic-net models so predictions remain stable across immune-cell composition. The article reports 381 CpGs; the official lambda.min model and this implementation both use the same 380 non-zero CpG inputs.

Predicts	chronological age
Species	Homo sapiens
Tissue	multi-tissue
Data type	DNA methylation
Model type	two-stage elastic net regression
Year	2024

Use with pyaging

import pyaging as pya

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

Browse every clock in the pyaging Clock Catalogue.

Citation

Tomusiak, A., et al. “Development of an epigenetic clock resistant to changes in immune cell composition.” Communications Biology 7, 934 (2024).

https://doi.org/10.1038/s42003-024-06609-4