Zikai Zheng, Jiaming Li, Tianzi Liu, Yanling Fan, Qiao-Cheng Zhai, Muzhao Xiong, Qiao-Ran Wang, Xiaoyan Sun, Qi-Wen Zheng, Shanshan Che, Beier Jiang, Quan Zheng, Cui Wang, Lixiao Liu, Jiale Ping, Si Wang, Dan-Dan Gao, Jinlin Ye, Kuan Yang, Yuesheng Zuo, Shuai Ma, Yun-Gui Yang, Jing Qu, Feng Zhang, Peilin Jia, Guang-Hui Liu, Weiqi Zhang
Epigenetic clocks are accurate predictors of human chronological age based on the analysis of DNA methylation at specific CpG sites. However, available DNA methylation (DNAm) age predictors are based on datasets with limited ethnic representation. Moreover, a systematic comparison between DNAm data and other omics datasets has not yet been performed. To address these knowledge gaps, we generated and analyzed DNA methylation datasets from two independent Chinese cohorts, revealing age-related DNAm changes. Additionally, a DNA methylation (DNAm) aging clock (iCAS-DNAmAge) and a group of DNAm-based multi-modal clocks for Chinese individuals were developed, with most of them demonstrating strong predictive capabilities for chronological age...
March 14, 2024: Protein & Cell