Associations of DNA Methylation Algorithms of Aging With Cardiovascular Disease and Mortality Risk Among US Older Adults.

Xian Cui, Shiqun Sun, Hui Zhang, Yulu Gong, Darong Hao, Yaqian Xu, Chongyu Ding, Jing Wang, Tongyan An, Jinlong Liu, Jun Du, Xiangwei Li

Diagnostic Imaging Center, Shanghai Children's Medical Center School of Medicine, Shanghai Jiao Tong University Shanghai 200127 China.Diagnostic Imaging Center, Shanghai Children's Medical Center School of Medicine, Shanghai Jiao Tong University Shanghai 200127 China. · pubmed

Paper

Abstract

Several DNA methylation (DNAm) algorithms have recently emerged as robust predictors of aging and adverse health outcomes in older adults, offering valuable insights into cardiovascular disease (CVD) risk stratification. However, their predictive performance for CVD varies significantly. This study aimed to systematically investigate the associations of 12 widely used DNAm algorithms with CVD and mortality risk.

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Research summary

The paper investigates the associations of DNA methylation algorithms with cardiovascular disease and mortality risk in older adults. This research is relevant as it explores potential biomarkers of aging that could inform strategies for longevity and age-related health outcomes.

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