The research groups of Professors Xiangwei Li and Tianlang Tong have assessed DNA methylation age for mortality prediction
Peer-Reviewed Publication
Updates every hour. Last Updated: 5-Oct-2025 10:11 ET (5-Oct-2025 14:11 GMT/UTC)
In the context of global aging, aging has become a key risk factor for chronic diseases and death. It remains uncertain which of the several promising DNA methylation (DNAm)-based algorithms best captures the true state of biological aging. Recently, the team led by Li Xiangwei from Shanghai Jiao Tong University School of Medicine, in collaboration with the team led by Tong Tianlang from Hainan International Medical Center published an article titled "Associations of twelve DNA methylation signatures of aging with mortality" on hLife, bringing new breakthroughs to the field of aging and mortality risk assessment. Based on long-term and population-based cohorts, the team found that GrimAge2 has significant advantages over other DNAm signatures of aging in predicting mortality risk and is expected to become a powerful tool for mortality risk assessment.
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