Development of Tissue-Specific Age Predictors Using DNA Methylation Data.

ABSTRACT: DNA methylation patterns have been shown to change throughout the normal aging process. Several studies have found epigenetic aging markers using age predictors, but these studies only focused on blood-specific or tissue-common methylation patterns. Here, we constructed nine tissue-specific age prediction models using methylation array data from normal samples. The constructed models predict the chronological age with good performance (mean absolute error of 5.11 years on average) and show better performance in the independent test than previous multi-tissue age predictors. We also compared tissue-common and tissue-specific aging markers and found that they had different characteristics. Firstly, the tissue-common group tended to contain more positive aging markers with methylation values

SUBMITTER: Choi H 

PROVIDER: S-EPMC6896025 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature