Characterization of data-driven clusters in diabetes-free adults and their utility for risk stratification of type 2 diabetes.
Diego Yacaman-MendezMinhao ZhouYlva Trolle LagerrosDonaji V Gómez VelascoPer TyneliusHrafnhildur GudjonsdottirAntonio Ponce de LeonKatarina Eeg-OlofssonClaes-Göran ÖstensonBoel BrynedalCarlos A Aguilar SalinasDavid EbbeviAnton LagerPublished in: BMC medicine (2022)
Phenotypes derived using cluster analysis were useful in stratifying the risk of type 2 diabetes among diabetes-free adults in two independent cohorts. These results could be used to develop more precise public health interventions.