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

A key element of improving diabetes 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 socioeconomic statussociety, ancestry and geographic location. Profound demographic shifts such as Increased migration due to climate change and, warfare and increasing or globalization necessitate s 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 here, access to clinical risk stratification tools for research purposes and for individuals with prediabetes according to geographic ancestry.