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. PURPOSE: In this article, we present the operational strategy of training, classification, reporting, and quality control of HLA genotyping in four laboratories on three continents over nearly 5 years. METHODS: Methods to standardize HLA genotyping at eight loci included: central training and initial certification testing; the use of uniform reagents, protocols, instrumentation, and software versions; an automated data transfer; and the use of standardized nomenclature and allele databases. We implemented a rigorous and consistent quality control process, reinforced by repeated workshops, yearly meetings, and telephone conferences. RESULTS: A total of 15,246 samples have been HLA genotyped at eight loci to four-digit resolution; an additional 6797 samples have been HLA genotyped at two loci. The genotyping repeat rate decreased significantly over time, with an estimated unresolved Mendelian inconsistency rate of 0.21%. Annual quality control exercises tested 2192 genotypes (4384 alleles) and achieved 99.82% intra-laboratory and 99.68% inter-laboratory concordances. LIMITATIONS: The chosen genotyping platform was unable to distinguish many allele combinations, which would require further multiple stepwise testing to resolve. For these combinations, a standard allele assignment was agreed upon, allowing further analysis if required. CONCLUSIONS: High-resolution HLA genotyping can be performed in multiple laboratories using standard equipment, reagents, protocols, software, and communication to produce consistent and reproducible data with minimal systematic error. Many of the strategies used in this study are generally applicable to other large multi-center studies.

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.

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.

Multiple loci in the HLA complex are associated with Addison's disease.

CONTEXT: A strong association between autoimmune Addison's disease (AAD) and major histocompatibility complex class II-encoded HLA-DRB1-DQA1-DQB1 haplotypes is well known. Recent evidence from other autoimmune diseases has suggested that class I-encoded HLA-A and HLA-B gene variants confer HLA-DRB1-DQA1-DQB1-independent effects on disease. OBJECTIVE: We aimed to explore AAD predisposing effects of HLA-A and -B and further investigate the role of MICA and HLA-DRB1-DQA1-DQB1 in a much larger material than has previously been studied. DESIGN: HLA-A, -B, -DRB1, and -DQB1 and a microsatellite in MICA were genotyped in 414 AAD patients and 684 controls of Norwegian origin. RESULTS: The strongest association was observed for the DRB1 locus, in which the DRB1*03:01 and DRB1*04:04 conferred increased risk of AAD, particularly in a heterozygous combination [odds ratio 22.13; 95% confidence interval (11.39-43.98); P = 6 × 10(-20)]. After conditioning on DRB1, association with AAD was still present for HLA-B and MICA, suggesting the presence of additional risk factors. CONCLUSIONS: The major histocompatibility complex harbors multiple risk loci for AAD, in which DRB1 appears to represent the main risk factor.

HLA class I and genetic susceptibility to type 1 diabetes: results from the Type 1 Diabetes Genetics Consortium.

OBJECTIVE: We report here genotyping data and type 1 diabetes association analyses for HLA class I loci (A, B, and C) on 1,753 multiplex pedigrees from the Type 1 Diabetes Genetics Consortium (T1DGC), a large international collaborative study. RESEARCH DESIGN AND METHODS: Complete eight-locus HLA genotyping data were generated. Expected patient class I (HLA-A, -B, and -C) allele frequencies were calculated, based on linkage disequilibrium (LD) patterns with observed HLA class II DRB1-DQA1-DQB1 haplotype frequencies. Expected frequencies were compared to observed allele frequencies in patients. RESULTS: Significant type 1 diabetes associations were observed at all class I HLA loci. After accounting for LD with HLA class II, the most significantly type 1 diabetes-associated alleles were B*5701 (odds ratio 0.19; P = 4 × 10(-11)) and B*3906 (10.31; P = 4 × 10(-10)). Other significantly type 1 diabetes-associated alleles included A*2402, A*0201, B*1801, and C*0501 (predisposing) and A*1101, A*3201, A*6601, B*0702, B*4403, B*3502, C*1601, and C*0401 (protective). Some alleles, notably B*3906, appear to modulate the risk of all DRB1-DQA1-DQB1 haplotypes on which they reside, suggesting a class I effect that is independent of class II. Other class I type 1 diabetes associations appear to be specific to individual class II haplotypes. Some apparent associations (e.g., C*1601) could be attributed to strong LD to another class I susceptibility locus (B*4403). CONCLUSIONS: These data indicate that HLA class I alleles, in addition to and independently from HLA class II alleles, are associated with type 1 diabetes.

HLA DPA1, DPB1 alleles and haplotypes contribute to the risk associated with type 1 diabetes: analysis of the type 1 diabetes genetics consortium families.

OBJECTIVE: To determine the relative risk associated with DPA1 and DPB1 alleles and haplotypes in type 1 diabetes. RESEARCH DESIGN AND METHODS: The frequency of DPA1 and DPB1 alleles and haplotypes in type 1 diabetic patients was compared to the family based control frequency in 1,771 families directly and conditional on HLA (B)-DRB1-DQA1-DQB1 linkage disequilibrium. A relative predispositional analysis (RPA) was performed in the presence or absence of the primary HLA DR-DQ associations and the contribution of DP haplotype to individual DR-DQ haplotype risks examined. RESULTS: Eight DPA1 and thirty-eight DPB1 alleles forming seventy-four DPA1-DPB1 haplotypes were observed; nineteen DPB1 alleles were associated with multiple DPA1 alleles. Following both analyses, type 1 diabetes susceptibility was significantly associated with DPB1*0301 (DPA1*0103-DPB1*0301) and protection with DPB1*0402 (DPA1*0103-DPB1*0402) and DPA1*0103-DPB1*0101 but not DPA1*0201-DPB1*0101. In addition, DPB1*0202 (DPA1*0103-DPB1*0202) and DPB1*0201 (DPA1*0103-DPB1*0201) were significantly associated with susceptibility in the presence of the high risk and protective DR-DQ haplotypes. Three associations (DPB1*0301, *0402, and *0202) remained statistically significant when only the extended HLA-A1-B8-DR3 haplotype was considered, suggesting that DPB1 alone may delineate the risk associated with this otherwise conserved haplotype. CONCLUSIONS: HLA DP allelic and haplotypic diversity contributes significantly to the risk for type 1 diabetes; DPB1*0301 (DPA1*0103-DPB1*0301) is associated with susceptibility and DPB1*0402 (DPA1*0103-DPB1*0402) and DPA1*0103-DPB1*0101 with protection. Additional evidence is presented for the susceptibility association of DPB1*0202 (DPA1*0103-DPB1*0202) and for a contributory role of individual amino acids and DPA1 or a gene in linkage disequilibrium in DR3-DPB1*0101 positive haplotypes.

Clinical, immunological, and genetic features of autoimmune primary adrenal insufficiency: observations from a Norwegian registry.

OBJECTIVE: Primary adrenal insufficiency [Addison's disease (AD)] is rare, and systematic studies are few, mostly conducted on small patient samples. We aimed to determine the clinical, immunological, and genetic features of a national registry-based cohort. DESIGN: Patients with AD identified through a nationwide search of diagnosis registries were invited to participate in a survey of clinical features, health-related quality of life (HRQoL), autoantibody assays, and human leukocyte antigen (HLA) class II typing. RESULTS: Of 664 registered patients, 64% participated in the study. The prevalence of autoimmune or idiopathic AD in Norway was 144 per million, and the incidence was 0.44 per 100,000 per year (1993-2007). Familial disease was reported by 10% and autoimmune comorbidity by 66%. Thyroid disease was most common (47%), followed by type 1 diabetes (12%), vitiligo (11%), vitamin B12 deficiency (10%), and premature ovarian insufficiency (6.6% of women). The mean daily treatment for AD was 40.5 mg cortisone acetate and 0.1 mg fludrocortisone. The mean Short Form 36 vitality scores were significantly diminished from the norm (51 vs. 60), especially among those with diabetes. Concomitant thyroid autoimmunity did not lower scores. Anti-21-hydroxylase antibodies were found in 86%. Particularly strong susceptibility for AD was found for the DR3-DQ2/ DRB1*0404-DQ8 genotype (odds ratio, 32; P = 4 x 10(-17)), which predicted early onset. CONCLUSIONS: AD is almost exclusively autoimmune, with high autoimmune comorbidity. Both anti-21-hydroxylase antibodies and HLA class II can be clinically relevant predictors of AD. HRQoL is reduced, especially among diabetes patients, whereas thyroid disease did not have an impact on HRQoL. Treatment modalities that improve HRQoL are needed.

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 1 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.

Should donors be allowed to give broad consent to future biobank research?

Large international biobank studies can make substantial contributions to scientific research by validation of the biological importance of previous research and by identification of previously unknown causes of disease. However, regulations for patient consent that are too strict and discrepancies in national policies on informed consent might hinder progress. Therefore, establishment of common ground for ethical review of biobank research is essential. In this essay, broad consent is defined on a scale between strictly specified (eg, for a specific study) and blanket consent (ie, with no restrictions regarding the purpose of the research). Future research includes that which might not be planned or even conceptualised when consent is obtained. In conclusion, broad consent and consent for future research are valid ethically and should be recommended for biobank research provided that: personal information related to research is handled safely; donors of biological samples are granted the right to withdraw consent; and new research studies or changes to the legal or ethical authority of a biobank are approved by an ethics-review board.