Extended Data Fig. 5: Hierarchical clustering for the nominally significant prospective associations between ageing-related proteins and risk of 14 chronic diseases. | Nature Metabolism

Extended Data Fig. 5: Hierarchical clustering for the nominally significant prospective associations between ageing-related proteins and risk of 14 chronic diseases.

From: Longitudinal serum proteome mapping reveals biomarkers for healthy ageing and related cardiometabolic diseases

Extended Data Fig. 5: Hierarchical clustering for the nominally significant prospective associations between ageing-related proteins and risk of 14 chronic diseases.

The prospective associations were investigated using a Cox proportional hazards model adjusted for age, sex, BMI, subcohort, and presence of chronic diseases at baseline. Hierarchical clustering identified a total of eight protein clusters based on their nominally significant associations with the 14 chronic diseases. T2D: type 2 diabetes; CHD: coronary heart disease; RA: rheumatoid arthritis; HR: hazard ratio.

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