Genetic Discovery and Risk Prediction for Type 1 Diabetes in Individuals Without High-Risk HLA-DR3/DR4 Haplotypes

IF 14.8 1区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Diabetes Care Pub Date : 2024-12-03 DOI:10.2337/dc24-1251
Carolyn McGrail, Joshua Chiou, Ruth Egamal, Amber M. Luckett, Richard A. Oram, Paola Benaglio, Kyle J. Gaulton
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引用次数: 0

Abstract

OBJECTIVE More than 10% of patients with type 1 diabetes (T1D) do not have high-risk HLA-DR3 or -DR4 haplotypes with distinct clinical features, such as later onset and reduced insulin dependence. We aimed to identify genetic drivers of T1D in the absence of DR3/DR4 and improve prediction of T1D risk in these individuals. RESEARCH DESIGN AND METHODS We performed T1D association and fine-mapping analyses in 12,316 non-DR3/DR4 samples. Next, we performed heterogeneity tests to examine differences in T1D risk variants in individuals without versus those with DR3/DR4 haplotypes. We further assessed genome-wide differences in gene regulatory element and biological pathway enrichments between the non-DR3/DR4 and DR3/DR4 cohorts. Finally, we developed a genetic risk score (GRS) to predict T1D in individuals without DR3/DR4 and compared with an existing T1D GRS. RESULTS A total of 18 T1D risk variants in non-DR3/DR4 samples were identified. Risk variants at the MHC and multiple other loci genome wide had heterogeneity in effects on T1D dependent on DR3/DR4 status, and non-DR3/DR4 T1D had evidence for a greater polygenic burden. T1D-assocated variants in non-DR3/DR4 were more enriched for regulatory elements and pathways involved in antigen presentation, innate immunity, and β-cells and depleted in T cells compared with DR3/DR4. A non-DR3/DR4 GRS outperformed an existing risk score GRS2 in discriminating non-DR3/DR4 T1D from no diabetes (area under the curve 0.867; P = 7.48 × 10−32) and type 2 diabetes (0.907; P = 4.94 × 10−44). CONCLUSIONS In total, we identified heterogeneity in T1D genetic risk dependent on high-risk HLA-DR3/DR4 haplotype, which uncovers disease mechanisms and enables more accurate prediction of T1D across the HLA background.
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来源期刊
Diabetes Care
Diabetes Care 医学-内分泌学与代谢
CiteScore
27.80
自引率
4.90%
发文量
449
审稿时长
1 months
期刊介绍: The journal's overarching mission can be captured by the simple word "Care," reflecting its commitment to enhancing patient well-being. Diabetes Care aims to support better patient care by addressing the comprehensive needs of healthcare professionals dedicated to managing diabetes. Diabetes Care serves as a valuable resource for healthcare practitioners, aiming to advance knowledge, foster research, and improve diabetes management. The journal publishes original research across various categories, including Clinical Care, Education, Nutrition, Psychosocial Research, Epidemiology, Health Services Research, Emerging Treatments and Technologies, Pathophysiology, Complications, and Cardiovascular and Metabolic Risk. Additionally, Diabetes Care features ADA statements, consensus reports, review articles, letters to the editor, and health/medical news, appealing to a diverse audience of physicians, researchers, psychologists, educators, and other healthcare professionals.
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