Data-Driven Phenotyping of Presymptomatic Type 1 Diabetes Using Longitudinal Autoantibody Profiles.
Mohamed GhalwashVibha AnandKenney NgJessica L DunneOlivia LouMarkus LundgrenWilliam A HagopianMarian RewersAnette-Gabriele ZieglerRiitta Veijolanull nullPublished in: Diabetes care (2024)
The novel clustering algorithm identified children with distinct islet autoantibody profiles and progression rates to diabetes. These results are useful for prediction, selection of individuals for prevention trials, and studies investigating various pathways to type 1 diabetes.