Precision medicine in diabetes prediction: Exploring a subgroup‐specific biomarker strategy for risk stratification

ABSTRACT Introduction The early detection of high‐risk individuals is crucial to delay and reduce the incidence of type 2 diabetes. In this study, we aimed to explore the performance of a novel subgroup‐specific biomarker strategy in the prediction of incident diabetes. Materials and Methods In the Taiwan Lifestyle Cohort Study, adult subjects without diabetes were included and followed for the incidence of diabetes in 2006–2019. The biomarkers measured included blood secretogranin III (SCG3), vascular adhesion protein‐1 (VAP‐1), fibrinogen‐like protein 1 (FGL1), angiopoietin‐like protein 6 (ANGPTL6), and angiopoietin‐like protein 4 (ANGPTL4). Results Among the 1,287 subjects, 12.2% developed diabetes during a 6 year follow‐up. Blood VAP‐1 was significantly associated with incident diabetes in the overall population (HR = 0.724, P