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 Katte, Dana Dabelea, Catherine Pihoker, Jasmin Divers, Eugène Sobngwi, Moffat J. Nyirenda, Raymond J. Kreienkamp, Angela D Liese, Amy S Shah, Lawrence Dolan, Kristi Reynolds
+8 more Maria J. Redondo, William Hagopian, Segun Fatumo, Mesmin Yefou Dehayem, Andrew T. Hattersley, Michael N. Weedon, Angus Jones, Richard A. Oram
Cited by: 1

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

Genetic Associations and Epidemiology BRCA gene mutations in cancer Diabetes and associated disorders

Publication details

Publisher
American Diabetes Association
Publication date
16 January 2026