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However, the absence of an identifiable unique triggering factor complicates the identification of risk groups. Advances in bioinformatics and epigenetic research are opening new opportunities for early diagnosis, prevention, and novel therapies for the condition. A comprehensive analysis of complex molecular pathways will make it possible to develop algorithms for the early diagnosis, disease course prediction, and therapy personalization based on a patient\u2019s genetic profile. This review systematizes current data on the genetic and epigenetic heterogeneity of autoimmune diabetes and its potential triggers. 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