The impact of ancestry on performance of type 1 diabetes genetic risk scores: high discrimination performance is maintained in African ancestry populations, but population specific thresholds may improve risk prediction

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Authors: Steven Squires, Jean-Claude Njabou Katte, Dana Dabelea, Catherine Pihoker, Jasmin Divers, Eugène Sobngwi, Moffat J. Nyirenda, Raymond J. Kreienkamp, Angela D. Liese, Amy S Shah, Lawrence M. Dolan, Kristi Reynolds
+8 more MARIA JOSE REDONDO, William Hagopian, Segun Fatumo, Mesmin Yefou Dehayem, Andrew Tym Hattersley, Michael N. Weedon, Angus Jones, Richard A. Oram
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Abstract

Genetic risk scores (GRSs) for type 1 diabetes (T1D) may assist T1D classification and prediction but are often developed from European populations. To improve health outcomes, it is important to understand the performance and utility of GRSs in diverse ancestry populations; we therefore assessed the capacity of three previously published T1D GRSs at differentiating people with and without type 1 diabetes in African (with/without T1D=194/235), European (n=1109/125), and Hispanic (266/170) ancestry populations in the USA, and from Cameroon and Uganda (n=144/5001).

Fields of Study & Subjects

Diabetes and associated disorders Genetic Associations and Epidemiology Diabetes Management and Research

Publication details

Publication date
16 January 2026