replitalinorm

Upstream starting-PD normalization model used during RepliTali construction. It was trained only in the chronologically youngest fetal skin fibroblast line (AG06561) to estimate the unobserved pre-culture replicative-history offset; it is not the final 87-CpG RepliTali model.

Predicts replicative history
Species Homo sapiens
Tissue cultured fibroblasts
Data type DNA methylation
Model type elastic net regression
Year 2022

Use with pyaging

import pyaging as pya

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

Browse every clock in the pyaging Clock Catalogue.

Citation

Endicott, J.L., Nolte, P.A., Shen, H. & Laird, P.W. Cell division drives DNA methylation loss in late-replicating domains in primary human cells. Nature Communications 13, 6659 (2022).

https://doi.org/10.1038/s41467-022-34268-8

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