epitoc3

Code-defined 170-CpG extension of the dynamic mitotic model. Official EpiMitClocks data show that all 170 sites are a subset of the 371 stemTOC vivo-mitCpGs derived from fetal/neonatal references, six normal proliferating cell lines, and three adult whole-blood cohorts. The assigned 2020 dynamic-model paper does not name or define epiTOC3.

Predicts	mitotic age
Species	Homo sapiens
Tissue	cultured primary human cells, whole blood, multi-tissue, cord blood
Data type	DNA methylation
Model type	dynamic methylation transmission model
Year	2020

Use with pyaging

import pyaging as pya

pya.pred.predict_age(adata, ["epitoc3"])

Browse every clock in the pyaging Clock Catalogue.

Citation

Teschendorff, Andrew E. "A comparison of epigenetic mitotic-like clocks for cancer risk prediction." Genome Medicine 12 (2020): 56.

https://doi.org/10.1186/s13073-020-00752-3