Associations of DNA methylation algorithm measures of aging with type 2 diabetes and mortality risk among US older adults.

Xuetong Zhao, Chongyu Ding, Hui Zhang, Yaqian Xu, Yulu Gong, Darong Hao, Zhaojun Wang, Xiangwei Li

School of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.School of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. · pubmed

Paper

Abstract

DNA methylation algorithm values show promise as biomarkers for aging and adverse health outcomes, However, their comparative predictive utility for type 2 diabetes mellitus and its related mortality remains inadequately characterized. This study systematically evaluated twelve established epigenetic algorithms to address this knowledge gap.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The study evaluates the predictive utility of DNA methylation algorithms for type 2 diabetes and mortality risk in older adults. This research is relevant as it explores biomarkers associated with aging and their potential implications for age-related diseases.

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