More than 850 million adults live with diabetes making it one of the leading causes of death globally. Thus, improving prevention of diabetes belongs to the most important and challenging health care objectives of human kind.

A key element of improving prevention is understanding the phenotypic heterogeneity of individuals with prediabetes. At a global scale, the individual risk for diabetes and/or complications varies largely with regard to society, ancestry and location. Increased migration due to climate change, warfare or globalization necessitates common global diabetes risk registries and streamlined data-driven sub-phenotyping tools to assess individual commonalities and differences in diabetes and complication risks according to geographic ancestry to guide clinical decision making and improve diabetes prevention. We here provide access to clinical risk stratification tools for research purposes and for individuals with prediabetes according to geographic ancestry.