Association of genetic variation with age at diagnosis in type 1 diabetes
- PMID: 41545229
- PMCID: PMC12815190
- DOI: 10.1136/bmjdrc-2023-003877
Association of genetic variation with age at diagnosis in type 1 diabetes
Abstract
Introduction: Type 1 diabetes is an autoimmune disease with a strong genetic basis. The aim of this study was to identify additional single-nucleotide polymorphisms (SNPs) for type 1 diabetes age at diagnosis and to replicate previously identified loci.
Research design and methods: Meta genome-wide association studies of age at diagnosis from eight cohorts (n=5910 in total) were performed in three models. Model 1 was age at diagnosis with no covariates. Model 2 was age at diagnosis adjusted for DR3/DR4 genotype categories. Model 3 was similar to model 2, including the most significant SNP from model 2 (coded additively). Models 1 and 2 were also performed for major histocompatibility complex (MHC) imputed data. In addition, we tested previously identified loci for age at diagnosis and type 1 diabetes risk for association with age at diagnosis in model 1.
Results: In model 1, we identified a genome-wide significant locus (rs2856721, p=3.3×10-11) in the MHC region whose effect was attenuated in model 2 (p=0.03). In model 2, we identified another locus in the MHC region, rs76730244, p=4.9×10-9, which was associated with age at diagnosis adjusted for DR3/DR4 genotypes. Model 3 and analysis of the MHC region did not reveal novel loci. Among 14 previously identified SNPs for age at diagnosis, 6 were confirmed; in addition, 11 out of 78 non-HLA loci for type 1 diabetes risk were associated with age at diagnosis.
Conclusions: We identified rs76730244 in the MHC region for age at diagnosis of type 1 diabetes, which was independent of the HLA-DR3/DR4 genotype categories. We also confirmed 6 previously identified SNPs and showed that 11 non-HLA loci for type 1 diabetes risk are associated with age at diagnosis.
Keywords: Diabetes Mellitus, Type 1; Genetic Markers; Histocompatibility Antigens Class II; Meta-Analysis.
© Author(s) (or their employer(s)) 2026. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ Group.
Conflict of interest statement
Competing interests: None declared.
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