skinandblood

Multi-tissue 391-CpG elastic-net chronological-age clock optimized with training data from buccal cells, whole blood, epithelium, fibroblasts, skin and cord blood; it is particularly accurate for skin-derived and cultured cells.

Predicts	chronological age
Species	Homo sapiens
Tissue	buccal epithelium, whole blood, epithelium, cultured fibroblasts, skin, cord blood
Data type	DNA methylation
Model type	elastic net regression
Year	2018

Use with pyaging

import pyaging as pya

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

Browse every clock in the pyaging Clock Catalogue.

Citation

Horvath, S., et al. “Epigenetic clock for skin and blood cells applied to Hutchinson Gilford Progeria Syndrome and ex vivo studies.” Aging 10(7), 1758–1775 (2018).

https://doi.org/10.18632/aging.101508