DNA methylation clocks for estimating biological age in Chinese cohorts

• DOI: 10.1093/procel/pwae011
• Publication Date: 2024-03-14T08:39:46Z
• Authors: 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
• Keywords: Human genetics; Developmental Biology

Epigenetic clocks are accurate predictors of human chronological age based on the analysis DNA methylation (DNAm) at specific CpG sites. However, a systematic comparison between data and other omics datasets has not yet been performed. Moreover, available DNAm with limited ethnic representation. To address these knowledge gaps, we generated analyzed from two independent Chinese cohorts, revealing age-related changes. Additionally, aging clock (iCAS-DNAmAge) group DNAm-based multi-modal for individuals were developed, most them demonstrating strong predictive capabilities age. The further employed to predict factors influencing rates. clock, derived features (compositeAge-DNAmAge), exhibited close association multi-omics changes, lifestyles, disease status, underscoring its robust potential precise biological assessment. Our findings offer novel insights into regulatory mechanism changes extend application measuring pace, providing basis evaluating intervention strategies.