Type 1 Diabetes Risk in African-Ancestry Participants and Utility of an Ancestry-Specific Genetic Risk Score
Overview
Authors
Affiliations
Objective: Genetic risk scores (GRS) have been developed that differentiate individuals with type 1 diabetes from those with other forms of diabetes and are starting to be used for population screening; however, most studies were conducted in European-ancestry populations. This study identifies novel genetic variants associated with type 1 diabetes risk in African-ancestry participants and develops an African-specific GRS.
Research Design And Methods: We generated single nucleotide polymorphism (SNP) data with the ImmunoChip on 1,021 African-ancestry participants with type 1 diabetes and 2,928 control participants. HLA class I and class II alleles were imputed using SNP2HLA. Logistic regression models were used to identify genome-wide significant ( < 5.0 × 10) SNPs associated with type 1 diabetes in the African-ancestry samples and validate SNPs associated with risk in known European-ancestry loci ( < 2.79 × 10).
Results: African-specific (HLA-*03:01-HLA-*02:01) and known European-ancestry HLA haplotypes (HLA-*03:01-HLA-*05:01-HLA-*02:01, HLA-*04:01-HLA-*03:01-HLA-*03:02) were significantly associated with type 1 diabetes risk. Among European-ancestry defined non-HLA risk loci, six risk loci were significantly associated with type 1 diabetes in subjects of African ancestry. An African-specific GRS provided strong prediction of type 1 diabetes risk (area under the curve 0.871), performing significantly better than a European-based GRS and two polygenic risk scores in independent discovery and validation cohorts.
Conclusions: Genetic risk of type 1 diabetes includes ancestry-specific, disease-associated variants. The GRS developed here provides improved prediction of type 1 diabetes in African-ancestry subjects and a means to identify groups of individuals who would benefit from immune monitoring for early detection of islet autoimmunity.
Type 1 Diabetes Genetic Risk Scores: History, Application and Future Directions.
Tosur M, Onengut-Gumuscu S, Redondo M Curr Diab Rep. 2025; 25(1):22.
PMID: 39920466 DOI: 10.1007/s11892-025-01575-5.
Human immune system: Exploring diversity across individuals and populations.
Hoang Nguyen K, Le N, Nguyen P, Nguyen H, Hoang D, Huynh C Heliyon. 2025; 11(2):e41836.
PMID: 39911431 PMC: 11795082. DOI: 10.1016/j.heliyon.2025.e41836.
Carver K, Clark C, Zhong Y, Yang G, Mishra M, Alarcon C bioRxiv. 2025; .
PMID: 39896509 PMC: 11785176. DOI: 10.1101/2025.01.23.634506.
Arni A, Fraser D, Sharp S, Oram R, Johnson M, Weedon M Sci Rep. 2024; 14(1):31044.
PMID: 39730838 PMC: 11680773. DOI: 10.1038/s41598-024-82278-x.
Yi G, Li Z, Sun Y, Ma X, Wang Z, Chen J J Transl Med. 2024; 22(1):1146.
PMID: 39719581 PMC: 11667901. DOI: 10.1186/s12967-024-05856-7.