HLA genotyping in the international Type 1 Diabetes Genetics Consortium

Background Although human leukocyte antigen (HLA) DQ and DR loci appear to confer the strongest genetic risk for type 1 diabetes, more detailed information is required for other loci within the HLA region to understand causality and stratify additional risk factors. The Type 1 Diabetes Genetics Consortium (T1DGC) study design included high-resolution genotyping of HLA-A, B, C, DRB1, DQ, and DP loci in all affected sibling pair and trio families, and cases and controls, recruited from four networks worldwide, for analysis with clinical phenotypes and immunological markers

HLA DR-DQ Genotyping by Capillary Electrophoresis for Risk Assessment for Celiac Disease.

The risk for celiac disease (CD) is clearly related to specific HLA DQA1 and DQB1 alleles, but HLA -typing is often considered too costly for frequent use.Here we present a method using sequence-specific primed PCR (PCR-SSP) for HLA-DR-DQ genotyping optimized for capillary electrophoresis on Applied Biosystems 3130xl Genetic Analyzer. Requiring a total of three PCR reactions and a single electrophoretic step, this method reduces the reagent expenses and technical time for directed HLA typing to distinguish risk alleles for CD, with a sufficient throughput for large-scale screening projects

A new automated human leukocyte antigen genotyping strategy to identify DR-DQ risk alleles for celiac disease and type 1 diabetes mellitus

Background: The risk for type 1 diabetes mellitus (T1DM) and celiac disease (CD) is related to human leukocyte antigen (HLA) DQA1, DQB1 and DRB1 loci. Unfortunately, HLA typing has been too difficult and costly for frequent use. Automated genotyping focused on risk alleles could provide access to HLA typing in diagnostic evaluations, epidemiological screening and contribute to preventive strategies. Methods: A sequence specific primer amplification method requiring a total of four PCR reactions, one restriction enzyme digestion and a single electrophoretic step provides low to medium resolution typing of DQA1, DQB1 and DRB1 using Applied Biosystems 3730 DNA analyzer. The method was validated using 261 samples with genotypes determined using a reference method. Results: Specific fluorescent DQA1, DQB1 and DRB1 amplicons were of expected size. Concordance with the reference method was 100% for DQA1 and DQB1 alleles and 99.8% for DRB1 alleles. Conclusions: We have developed a high throughput HLA typing method that accurately distinguishes risk alleles for T1DM and CD. This method allows screening of several thousand samples per week, consuming 32 ng of DNA template, low reagent volumes and minimal time for data review. Clin Chem Lab Med 2009;47:1489–95.Peer Reviewe

A new PCR-SSP method for HLA DR-DQ risk assessment for celiac disease.

BACKGROUND: Susceptibility to celiac disease is essentially restricted to carriers of specific HLA DQA1 and DQB1 alleles. We have developed a semi-automated sequence specific primer (SSP) PCR method for clinical HLA typing and compared the test results with those from a commercial method. METHODS: Primers for each DQA1 and DQB1 allele group were included in our PCR-SSP reaction to allow differentiation of homozygous from heterozygous carriers of risk alleles. Primers detecting the tightly linked DRB1*04, *03, *07 and *09 alleles were included to resolve potentially ambiguous results. Fluorescently labeled PCR products of 119 clinical samples were analyzed by capillary electrophoresis, and results were compared to those previously obtained from the DELFIA® Type 1 Diabetes Genetic Predisposition assay. RESULTS: The risk assessment derived from the two methods was 100% concordant. One previously unreported haplotype was detected and haplotype assignments in two of the 119 samples were improved from previous reports. CONCLUSIONS: The use of three PCR reactions and a single electrophoretic step for DQA1, DQB1 and DRB1 typing provides distinction of celiac disease associated alleles and their homo- or heterozygous status. This multiplex analysis reduces reagent costs, personnel and instrument time, while enabling improved allelic assignment through HLA-DR-DQ haplotype association

Weak associations between human leucocyte antigen genotype and acute myocardial infarction.

Objectives. Human leucocyte antigens (HLAs) are polymorphic molecules involved in antigen presentation. Associations between HLA type and autoimmune diseases, such as type 1 diabetes and rheumatoid arthritis, are well established but the potential association of genetic variation affecting antigen presentation with cardiovascular disease has not been systematically investigated in large cohorts. The importance of such studies is stressed by recent experimental findings of an involvement of autoimmunity in the atherosclerotic disease process. Results. An SSP-PCR method was used for HLA genotyping to determine associations of HLA-DRB1, -DQA1 and -DQB1 with cardiovascular disease in a population-based cohort of 1188 acute myocardial infarction (AMI) patients and 1191 matched healthy controls. The HLA-DRB1*0101 allele, as well as the HLA-DRB1*0101-DQA1*01-DQB1*05 haplotype, was found to be associated with increased risk for AMI (OR 1.24; 95% CI 1.00-1.54 for both). In contrast, the DRB1*07 and DQA*02 alleles (OR 0.78; 95% CI 0.65-0.95 for both), as well as the DRB1*07-DQA*02-DQB*02 haplotype, conferred protection (OR 0.79; 95% CI 0.63-0.98). An HLA risk score taking each individual's both haplotypes into account was higher amongst cases (2.43 +/- 0.92 vs. 2.29 +/- 0.95, P = 0.001). The association between HLA risk score and AMI was independent of other cardiovascular risk factors assessed. Conclusions. This study demonstrates that the associations between HLA-DRB1 and DQA1 loci and cardiovascular disease exists but that they are considerably weaker than those previously reported for other diseases with an established autoimmune aetiology such as type 1 diabetes, systemic lupus erythematosus and rheumatoid arthritis

HLA DR-DQ haplotypes and genotypes and type 1 diabetes risk: Analysis of the Type 1 Diabetes Genetics Consortium families

OBJECTIVE-The Type 1 Diabetes Genetics Consortium has collected type 1 diabetic families worldwide for genetic analysis. The major genetic determinants of type 1 diabetes are alleles at the HLA-DRB1 and DQB1 loci, with both susceptible and protective DR-DQ haplotypes present in all human populations. The aim of this study is to estimate the risk conferred by specific DR-DQ haplotypes and genotypes. RESEARCH DESIGN AND METHODS:-Six hundred and seven Caucasian families and 38 Asian families were typed at high resolution for the DRB1, DQA1, and DQB1 loci. The association analysis was performed by comparing the frequency of DR-DQ haplotypes among the chromosomes transmitted to an affected child with the frequency of chromosomes not transmitted to any affected child. RESULTS-A number of susceptible, neutral, and protective DR-DQ haplotypes have been identified, and a statistically significant hierarchy of type 1 diabetes risk has been established. The most susceptible haplotypes are the DRB1*0301-DQA1*0501-DQB1*0201 (odds ratio [OR] 3.64) and the DRB1*0405-DQA1*0301-DQB1*0302, DRB1*0401-DQA1*0301-DQB*0302, and DRB1*0402-DQA1*0301-DQB1*0302 haplotypes (ORs 11.37, 8.39, and 3.63), followed by the DRB1*0404-DQA1*0301-DQB1*0302 (OR 1.59) and the DRB1*0801-DQB1*0401-DQB1*0402 (OR 1.25) haplotypes. The most protective haplotypes are DRB1*1501-DQA1*0102-DQB1*0602 (OR 0.03), DRB1*1401-DQA1*0101-DQB1*0503 (OR 0.02), and DRB1*0701-DQA1*0201-DQB1*0303 (OR 0.02). CONCLUSIONS-Specific combinations of alleles at the DRB1, DQA1, and DQB1 loci determine the extent of haplotypic risk. The comparison of closely related DR-DQ haplotype pairs with different type I diabetes risks allowed identification of specific amino acid positions critical in determining disease susceptibility. These data also indicate that the risk associated with specific HLA haplotypes can be influenced by the genotype context and that the trans-complementing heterodimer encoded by DQA1*0501 and DQB1*0302 confers very high risk