Type 1 Diabetes Risk in African-Ancestry Participants and Utility of an Ancestry-Specific Genetic Risk Score
- PMID: 30659077
- PMCID: PMC6385701
- DOI: 10.2337/dc18-1727
Type 1 Diabetes Risk in African-Ancestry Participants and Utility of an Ancestry-Specific Genetic Risk Score
Abstract
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 (P < 5.0 × 10-8) SNPs associated with type 1 diabetes in the African-ancestry samples and validate SNPs associated with risk in known European-ancestry loci (P < 2.79 × 10-5).
Results: African-specific (HLA-DQA1*03:01-HLA-DQB1*02:01) and known European-ancestry HLA haplotypes (HLA-DRB1*03:01-HLA-DQA1*05:01-HLA-DQB1*02:01, HLA-DRB1*04:01-HLA-DQA1*03:01-HLA-DQB1*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.
© 2019 by the American Diabetes Association.
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References
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- Genuth S, Alberti KG, Bennett P, et al.; Expert Committee on the Diagnosis and Classification of Diabetes Mellitus . Follow-up report on the diagnosis of diabetes mellitus. Diabetes Care 2003;26:3160–3167 - PubMed
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- P01 AI042288/AI/NIAID NIH HHS/United States
- DP3 DK085678/DK/NIDDK NIH HHS/United States
- U01 DP000248/DP/NCCDPHP CDC HHS/United States
- U01 DK062418/DK/NIDDK NIH HHS/United States
- UL1 TR000062/TR/NCATS NIH HHS/United States
- U18 DP002709/DP/NCCDPHP CDC HHS/United States
- UL1 TR002319/TR/NCATS NIH HHS/United States
- UL1 TR000077/TR/NCATS NIH HHS/United States
- U01 DP000250/DP/NCCDPHP CDC HHS/United States
- P30 DK057516/DK/NIDDK NIH HHS/United States
- HIR 10-001/HX/HSRD VA/United States
- U01 DP000247/DP/NCCDPHP CDC HHS/United States
- R01 DK046635/DK/NIDDK NIH HHS/United States
- R01 HG008965/HG/NHGRI NIH HHS/United States
- U18 DP002710/DP/NCCDPHP CDC HHS/United States
- R01 DK096926/DK/NIDDK NIH HHS/United States
- UL1 TR000154/TR/NCATS NIH HHS/United States
- U18 DP002714/DP/NCCDPHP CDC HHS/United States
- P30 DK079626/DK/NIDDK NIH HHS/United States
- T32 LM012416/LM/NLM NIH HHS/United States
- U01 DP000244/DP/NCCDPHP CDC HHS/United States
- UL1 TR001417/TR/NCATS NIH HHS/United States
- UL1 TR000423/TR/NCATS NIH HHS/United States
- P01 AR049084/AR/NIAMS NIH HHS/United States
- U01 DP000246/DP/NCCDPHP CDC HHS/United States
- U01 DP000254/DP/NCCDPHP CDC HHS/United States
- U18 DP002708/DP/NCCDPHP CDC HHS/United States
- U01 DK062431/DK/NIDDK NIH HHS/United States
- R01 DK106718/DK/NIDDK NIH HHS/United States
- P30 DK017047/DK/NIDDK NIH HHS/United States
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