CancerClock: A DNA Methylation Age Predictor to Identify and Characterize Aging Clock in Pan-Cancer.

ABSTRACT: Many biological indicators related to chronological age have been proposed. Recent studies found that epigenetic clock or DNA methylation age is highly correlated with chronological age. In particular, a significant difference between DNA methylation age (m-age) and chronological age was observed in cancers. However, the prediction and characterization of m-age in pan-cancer remains an explored area. In this study, 1,631 age-related methylation sites in normal tissues were discovered and analyzed. A comprehensive computational model named CancerClock was constructed to predict the m-age for normal samples based on methylation levels of the extracted methylation sites. LASSO linear regression model was used to screen and train the CancerClock model in normal tissues. The accuracy of CancerC

SUBMITTER: Zhu T 

PROVIDER: S-EPMC6905170 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature