thompson

Full-lifespan multi-tissue mouse DNA-methylation clock fit by elastic net to RRBS CpG methylation across 1,147 samples from ten tissues and multiple strains; the 582-site all-CpG model estimates chronological age and detects intervention- and genotype-associated age acceleration.

Predicts	chronological age
Species	Mus musculus
Tissue	adipose tissue, blood, cerebellum, brain cortex, heart, kidney, liver, lung, skeletal muscle, spleen
Data type	DNA methylation
Model type	elastic net regression
Year	2018

Use with pyaging

import pyaging as pya

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

Browse every clock in the pyaging Clock Catalogue.

Citation

Thompson, M. J., Chwiałkowska, K., Rubbi, L. et al. A multi-tissue full lifespan epigenetic clock for mice. Aging (Albany NY) 10, 2832–2854 (2018).

https://doi.org/10.18632/aging.101590