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
Year: 2026
Type: other
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).
Authors: Steven Squires, Jean Claude Katte, Dana Dabelea, Catherine Pihoker, Jasmin Divers, Eugene Sobngwi, Moffat J. Nyirenda, Raymond J. Kreienkamp, Angela D Liese, Amy S Shah, Lawrence Dolan, Kristi Reynolds, Maria J. Redondo, William Hagopian, Segun Fatumo, Mesmin Y. Dehayem, Andrew T. Hattersley, Michael N. Weedon, Angus Jones, Richard A. Oram
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W7124431714