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HLA class I and II alleles are associated with microvascular complications of type 1 diabetes

E M Lipner1, Y Tomer, J A Noble

  • 1Department of Epidemiology, Columbia University, Mailman School of Public Health, New York, NY, USA.

Human Immunology
|February 5, 2013
PubMed

Insights

Specific human leukocyte antigen (HLA) alleles influence type 1 diabetes microvascular complications. Some HLA alleles offer protection, while others increase risk, impacting retinopathy, neuropathy, and nephropathy.

Area of Science:

  • Immunogenetics
  • Endocrinology
  • Diabetology

Background:

  • Type 1 diabetes (T1D) is an autoimmune disease.
  • Human leukocyte antigen (HLA) alleles are known T1D risk factors.
  • The role of HLA alleles in T1D microvascular complications is debated.

Purpose of the Study:

  • To investigate the association between specific HLA alleles and microvascular complications in T1D.
  • To identify HLA alleles that may confer protection against or susceptibility to T1D complications.

Main Methods:

  • Analysis of HLA allele frequencies in 425 multiplex T1D families from the Human Biological Data Interchange (HBDI) collection.
  • Comparison of allele frequencies between T1D patients with and without microvascular complications (retinopathy, neuropathy, nephropathy).
  • Logistic regression models with covariates were used to estimate odds ratios (ORs).

Main Results:

  • The HLA allele DRB1*03:01 was identified as a protective factor (OR=0.58, p=0.03).
  • The DQA1*05:01-DQB1*02:01 haplotype, in linkage disequilibrium with DRB1*03:01, also showed protection (OR=0.59, p=0.031).
  • The HLA class I allele B*39:06 was strongly associated with an increased risk of complications (OR=3.27, p=0.008).

Conclusions:

  • Specific HLA alleles are associated with the development of microvascular complications in type 1 diabetes.
  • HLA alleles like DRB1*03:01 may offer protection, while others like B*39:06 may increase susceptibility.
  • These findings highlight the potential role of immunogenetics in predicting and understanding T1D microvascular disease.

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