14th International HLA and Immunogenetics Workshop: report on the HLA component of type 1 diabetes

Collection and storage of HLA NGS genotyping data for the 17th International HLA and Immunogenetics Workshop

For over 50 years, the International HLA and Immunogenetics Workshops (IHIW) have advanced the fields of histocompatibility and immunogenetics (H&I) via community sharing of technology, experience and reagents, and the establishment of ongoing collaborative projects. Held in the fall of 2017, the 17th IHIW focused on the application of next generation sequencing (NGS) technologies for clinical and research goals in the H&I fields. NGS technologies have the potential to allow dramatic insights and advances in these fields, but the scope and sheer quantity of data associated with NGS raise challenges for their analysis, collection, exchange and storage. The 17th IHIW adopted a centralized approach to these issues, and we developed the tools, services and systems to create an effective system for capturing and managing these NGS data. We worked with NGS platform and software developers to define a set of distinct but equivalent NGS typing reports that record NGS data in a uniform fashion. The 17th IHIW database applied our standards, tools and services to collect, validate and store those structured, multi-platform data in an automated fashion. We have created community resources to enable exploration of the vast store of curated sequence and allele-name data in the IPD-IMGT/HLA Database, with the goal of creating a long-term community resource that integrates these curated data with new NGS sequence and polymorphism data, for advanced analyses and applications.

HLA-DR*0401 expression in the NOD mice prevents the development of autoimmune diabetes by multiple alterations in the T-cell compartment

Several human HLA alleles have been found associated with type 1 diabetes (T1D), but their precise role is not clearly defined. Herein, we report that a human MHC class II (HLA-DR*0401) allele transgene that has been expressed into NOD (H-2(g7)I-E(null)) mice prone to T1D rendered the mice resistant to the disease. T1D resistance occurred in the context of multi-point T-cell alterations such as: (i) skewed CD4/CD8 T-cell ratio, (ii) decreased size of CD4(+)CD44(high) T memory pool, (iii) aberrant TCR Vβ repertoire, (iv) increased neonatal number of Foxp3(+) and TR-1(+) regulatory cells, and (v) reduced IFN-γ inflammatory response vs. enhanced IL-10 suppressogenic response of T-cells upon polyclonal and antigen-specific stimulation. The T-cells from NOD/DR4 Tg mice were unable to induce or suppress diabetes in NOD/RAG deficient mice. This study describes a multifaceted regulatory function of the HLA-DR*0401 allele strongly associated with the lack of T1D development in NOD mice.

Associations of human leukocyte antigens with autoimmune diseases: challenges in identifying the mechanism

The mechanism of genetic associations between human leukocyte antigen (HLA) and susceptibility to autoimmune disorders has remained elusive for most of the diseases, including rheumatoid arthritis (RA) and type 1 diabetes (T1D), for which both the genetic associations and pathogenic mechanisms have been extensively analyzed. In this review, we summarize what are currently known about the mechanisms of HLA associations with RA and T1D, and elucidate the potential mechanistic basis of the HLA-autoimmunity associations. In RA, the established association between the shared epitope (SE) and RA risk has been explained, at least in part, by the involvement of SE in the presentation of citrullinated peptides, as confirmed by the structural analysis of DR4-citrullinated peptide complex. Self-peptide(s) that might explain the predispositions of variants at 11β and 13β in DRB1 to RA risk have not currently been identified. Regarding the mechanism of T1D, pancreatic self-peptides that are presented weakly on the susceptible HLA allele products are recognized by self-reactive T cells. Other studies have revealed that DQ proteins encoded by the T1D susceptible DQ haplotypes are intrinsically unstable. These findings indicate that the T1D susceptible DQ haplotypes might confer risk for T1D by facilitating the formation of unstable HLA-self-peptide complex. The studies of RA and T1D reveal the two distinct mechanistic basis that might operate in the HLA-autoimmunity associations. Combination of these mechanisms, together with other functional variations among the DR and DQ alleles, may generate the complex patterns of DR-DQ haplotype associations with autoimmunity.

Cell-surface MHC density profiling reveals instability of autoimmunity-associated HLA

Polymorphisms within HLA gene loci are strongly associated with susceptibility to autoimmune disorders; however, it is not clear how genetic variations in these loci confer a disease risk. Here, we devised a cell-surface MHC expression assay to detect allelic differences in the intrinsic stability of HLA-DQ proteins. We found extreme variation in cell-surface MHC density among HLA-DQ alleles, indicating a dynamic allelic hierarchy in the intrinsic stability of HLA-DQ proteins. Using the case-control data for type 1 diabetes (T1D) for the Swedish and Japanese populations, we determined that T1D risk-associated HLA-DQ haplotypes, which also increase risk for autoimmune endocrinopathies and other autoimmune disorders, encode unstable proteins, whereas the T1D-protective haplotypes encode the most stable HLA-DQ proteins. Among the amino acid variants of HLA-DQ, alterations in 47α, the residue that is located on the outside of the peptide-binding groove and acts as a key stability regulator, showed strong association with T1D. Evolutionary analysis suggested that 47α variants have been the target of positive diversifying selection. Our study demonstrates a steep allelic hierarchy in the intrinsic stability of HLA-DQ that is associated with T1D risk and protection, suggesting that HLA instability mediates the development of autoimmune disorders.

Risk factors and primary prevention trials for type 1 diabetes

Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease resulting in the designated immune destruction of insulin producing β-cells, usually diagnosed in youth, and associated with important psychological, familial, and social disorders. Once diagnosed, patients need lifelong insulin treatment and will experience multiple disease-associated complications. There is no cure for T1DM currently. The last decade has witnessed great progress in elucidating the causes and treatment of the disease based on numerous researches both in rodent models of spontaneous diabetes and in humans. This article summarises our current understanding of the pathogenesis of T1DM, the roles of the immune system, genes, environment and other factors in the continuing and rapid increase in T1DM incidence at younger ages in humans. In addition, we discuss the strategies for primary and secondary prevention trials of T1DM. The purpose of this review is to provide an overview of this disorder's pathogenesis, risk factors that cause the disease, as well as to bring forward an ideal approach to prevent and cure the disorder.

Immune therapy in type 1 diabetes mellitus

Type 1 diabetes mellitus (T1DM) is an autoimmune disorder directed against the β cells of the pancreatic islets. The genetic risk of the disease is linked to HLA-DQ risk alleles and unknown environmental triggers. In most countries, only 10-15% of children or young adults newly diagnosed with T1DM have a first-degree relative with the disease. Autoantibodies against insulin, GAD65, IA-2 or the ZnT8 transporter mark islet autoimmunity. These islet autoantibodies may already have developed in children of 1-3 years of age. Immune therapy in T1DM is approached at three different stages. Primary prevention is treatment of individuals at increased genetic risk. For example, one trial is testing if hydrolyzed casein milk formula reduces T1DM incidence in genetically predisposed infants. Secondary prevention is targeted at individuals with persistent islet autoantibodies. Ongoing trials involve nonautoantigen-specific therapies, such as Bacillus Calmette-Guérin vaccine or anti-CD3 monoclonal antibodies, or autoantigen-specific therapies, including oral and nasal insulin or alum-formulated recombinant human GAD65. Trial interventions at onset of T1DM have also included nonautoantigen-specific approaches, and autoantigen-specific therapies, such as proinsulin peptides. Although long-term preservation of β-cell function has been difficult to achieve in many studies, considerable progress is being made through controlled clinical trials and animal investigations towards uncovering mechanisms of β-cell destruction. Novel therapies that prevent islet autoimmunity or halt progressive β-cell destruction are needed.

The influence of the HLA-DRB, HLA-DQB and polymorphic positions of the HLA-DRβ1 and HLA-DQβ1 molecules on risk of Iranian type 1 diabetes mellitus patients

Type 1 Diabetes mellitus (T1D) is an autoimmune and multifactorial disease. HLA-DRB1 and DQB1 loci have the strongest association with T1D. This study aimed at investigating (i) susceptibility or protection of alleles, genotypes and haplotypes of HLA-DRB1 and DQB1 loci; and (ii) highly polymorphic amino acid residues of HLA-DRβ1 and DQβ1 in 105 Iranian T1D patients and 100 controls. The results indicated that DRB1*04:01, 03:01, DQB1*03:02, 02:01 alleles, DRB1*03:01/04:01, 03:01/13:03, DQB1*02:01/03:02 genotypes, DRB1*04:01-DQB1*03:02, DRB1*03:01-DQB1*02:01, DRB1*07:01-DQB1*03:03 haplotypes had positive association with T1D. In contrast, HLA-DRB1*15:01, 13:01, DQB1*03:01, 06:01 alleles, DRB1*11:01/15:01, DQB1*03:01/06:01, 03:01/05:01 genotypes and DRB1*15:01-DQB1*06:01, DRB1*11:01-DQB1*03:01 haplotypes had negative association with T1D. Analysis of amino acid sequence of HLA-DRβ1 and DQβ1 revealed that DRβ1(Lys71+) and DQβ1(Asp57-) were significantly more frequent in patients than in controls and had a positive effect in the development of T1D. Haplotype analysis demonstrated that HLA-DRB1(Lys71+) allele provided major susceptibility for T1D, and DQβ1(Asp57-) had an additive effect. We designed an allele-specific primer to develop an easy, quick and cost-benefit method to detect the DRβ1(Lys71+) . This method can identify all 114 DRB1 alleles encoding DRβ1(Lys71+) by three PCR reactions. The PcPPV and PcNPV were also calculated to determine the impact of HLA genotype testing at amino acid positions. It showed that the DRβ1(Lys71+/+) genotype carrier had 1% absolute risk of developing T1D.

BLOCK-BASED BAYESIAN EPISTASIS ASSOCIATION MAPPING WITH APPLICATION TO WTCCC TYPE 1 DIABETES DATA

Interactions among multiple genes across the genome may contribute to the risks of many complex human diseases. Whole-genome single nucleotide polymorphisms (SNPs) data collected for many thousands of SNP markers from thousands of individuals under the case-control design promise to shed light on our understanding of such interactions. However, nearby SNPs are highly correlated due to linkage disequilibrium (LD) and the number of possible interactions is too large for exhaustive evaluation. We propose a novel Bayesian method for simultaneously partitioning SNPs into LD-blocks and selecting SNPs within blocks that are associated with the disease, either individually or interactively with other SNPs. When applied to homogeneous population data, the method gives posterior probabilities for LD-block boundaries, which not only result in accurate block partitions of SNPs, but also provide measures of partition uncertainty. When applied to case-control data for association mapping, the method implicitly filters out SNP associations created merely by LD with disease loci within the same blocks. Simulation study showed that this approach is more powerful in detecting multi-locus associations than other methods we tested, including one of ours. When applied to the WTCCC type 1 diabetes data, the method identified many previously known T1D associated genes, including PTPN22, CTLA4, MHC, and IL2RA. The method also revealed some interesting two-way associations that are undetected by single SNP methods. Most of the significant associations are located within the MHC region. Our analysis showed that the MHC SNPs form long-distance joint associations over several known recombination hotspots. By controlling the haplotypes of the MHC class II region, we identified additional associations in both MHC class I (HLA-A, HLA-B) and class III regions (BAT1). We also observed significant interactions between genes PRSS16, ZNF184 in the extended MHC region and the MHC class II genes. The proposed method can be broadly applied to the classification problem with correlated discrete covariates.

Immune intervention in type 1 diabetes

Type 1 diabetes (T1D) is a chronic autoimmune disease that results in the specific immune destruction of insulin producing beta cells. Currently there is no cure for T1D and treatment for the disease consists of lifelong administration of insulin. Immunotherapies aimed at preventing beta cell destruction in T1D patients with residual c-peptide or in individuals developing T1D are being evaluated. Networks of researchers such as TrialNet and the Immune Tolerance Network in the U.S. and similar networks in Europe have been established to evaluate such immunotherapies. This review focuses on immune intervention for the prevention and amelioration of human T1D with a focus on potential immune suppressive, antigen specific and environmental therapies.

Selective IgA deficiency in autoimmune diseases

Selective immunoglobulin A deficiency (IgAD) is the most common primary immunodeficiency in Caucasians. It has previously been suggested to be associated with a variety of concomitant autoimmune diseases. In this review, we present data on the prevalence of IgAD in patients with Graves disease (GD), systemic lupus erythematosus (SLE), type 1 diabetes (T1D), celiac disease (CD), myasthenia gravis (MG) and rheumatoid arthritis (RA) on the basis of both our own recent large-scale screening results and literature data. Genetic factors are important for the development of both IgAD and various autoimmune disorders, including GD, SLE, T1D, CD, MG and RA, and a strong association with the major histocompatibility complex (MHC) region has been reported. In addition, non-MHC genes, such as interferon-induced helicase 1 (IFIH1) and c-type lectin domain family 16, member A (CLEC16A), are also associated with the development of IgAD and some of the above diseases. This indicates a possible common genetic background. In this review, we present suggestive evidence for a shared genetic predisposition between these disorders.

Modifying effects of HLA-DRB1 allele interactions on age at onset of multiple sclerosis in Western Australia

The contribution of genetic factors to the age at onset in multiple sclerosis is poorly understood. Our objective was to investigate the disease modifying effects of HLA-DRB1 alleles and allele interactions on age at onset of multiple sclerosis. High-resolution four-digit HLA-DRB1 genotyping was performed in a cohort of 461 multiple sclerosis patients from the Perth Demyelinating Diseases Database. Carriage of the HLA-DRB1*1501 risk allele was not significantly associated with age at onset but HLA-DRB1*0801 was associated with a later onset of the disease. The HLA-DRB1*0401 allele was associated with a reduced age at onset when combined with DRB1*1501 but may delay age at onset when combined with DRB1*0801. These findings indicate that epistatic interactions at the HLA-DRB1 locus have significant modifying effects on age at onset of multiple sclerosis and demonstrate the value of high-resolution genotyping in detecting such associations.

Autoimmune type 1 diabetes genetic susceptibility encoded by human leukocyte antigen DRB1 and DQB1 genes in Tunisia

Human leukocyte antigen (HLA) class II genes contribute to the genetic susceptibility to type 1 diabetes (T1D), and susceptible alleles and haplotypes were implicated in the pathogenesis of T1D. This study investigated the heterogeneity in HLA class II haplotype distribution among Tunisian patients with T1D. This was a retrospective case control study done in Monastir in central Tunisia. The subjects comprised 88 T1D patients and 112 healthy controls. HLA-DRB1 and -DQB1 genotyping was done by PCR-sequence-specific priming. Significant DRB1 and DQB1 allelic differences were seen between T1D patients and controls; these differences comprised DRB1*030101 and DQB1*0302, which were higher in T1D patients than in control subjects, and DRB1*070101, DRB1*110101, DQB1*030101, and DQB1*060101, which were lower in T1D patients than in control subjects. In addition, the frequencies of DRB1*030101-DQB1*0201 and DRB1*040101-DQB1*0302 were higher in T1D patients than in control subjects, and the frequencies of DRB1*070101-DQB1*0201 and DRB1*110101-DQB1*030101 haplotypes were lower in T1D patients than in control subjects. Multiple logistic regression analysis revealed the positive association of DRB1*030101-DQB1*0201 and DRB1*040101-DQB1*0302 and the negative association of only DRB1*070101-DQB1*0201 haplotypes with T1D. Furthermore, a significantly increased prevalence of DRB1*030101-DQB1*0201 homozygotes was seen for T1D subjects than for control subjects. Our results confirm the association of specific HLA-DR and -DQ alleles and haplotypes with T1D in Tunisians. The identification of similar and unique haplotypes in Tunisians compared to other Caucasians highlights the need for evaluating the contribution of HLA class II to the genetic susceptibility to T1D with regard to haplotype usage and also to ethnic origin and racial background.

Several loci in the HLA class III region are associated with T1D risk after adjusting for DRB1-DQB1

AIM

Several studies have indicated that genes in the human leucocyte antigen (HLA) region additional to the HLA class II DRB1-DQB1 contribute to type 1 diabetes (T1D) susceptibility. The aim of this study was to assess if markers in the class III Major Histocompatibility Complex (MHC) region are associated with T1D after accounting for linkage disequilibrium (LD) with DRB1-DQB1.

METHODS

We investigated 356 single nucleotide polymorphisms (SNPs) in the class III region covering 1.1 megabases in two subsets of data: 289 Human Biological Data Interchange (HBDI) Caucasian families and 597 additional Caucasian families collected by the Type 1 Diabetes Genetics Consortium (T1DGC). Analysis conditioning on DRB1-DQB1 was performed using the overall conditional genotype method.

RESULTS

Thirteen SNPs replicated in both subsets of the data and showed evidence of an additional effect on disease risk. Although some of the SNPs are in tight LD with each other, at least six of the associations were not because of LD with other class III markers. The strongest association within class III markers was with rs2395106 that maps 5' to the NOTCH4 gene, which has also been implicated in susceptibility to rheumatoid arthritis. The second association was with rs707915 mapping to the MSH5 gene, in a block of six markers significantly associated with T1D after adjusting for LD with DR-DQ. In total, six-independent associations within class III were observed although results were not adjusted for LD with class I.

CONCLUSIONS

Our data confirm that the class III region is involved in T1D susceptibility and suggest that more than one gene in the region is involved.

Influence of common and specific HLA-DRB1/DQB1 haplotypes on genetic susceptibilities of three distinct Arab populations to type 1 diabetes

The contribution of HLA DRB-DQB to type 1 diabetes (T1D) in Bahrainis, Lebanese, and Tunisians was investigated. DRB1*030101-DQB1*0201 was a locus that conferred susceptibility in three populations, while DRB1*040101-DQB1*0302 was a locus that conferred susceptibility only in Tunisians and Bahrainis. The DRB1*100101-DQB1*050101 (Bahrainis) and DRB1*150101-DQB1*060101 (Lebanese) loci were largely protective. The contribution of HLA to T1D must be evaluated with regard to ethnic background.

Infectious diseases and Type 1 diabetes in children

Type 1 diabetes (T1D) is an autoimmune disease triggered by environmental factors. Among those of infectious origin, viruses mostly associated to T1D are rubella virus, enteroviruses (Rotavirus, Coxackie B), Cytomegalovirus and mumps virus. The role of bacterial infections is still controversial, acting either as modulators or precipitating factors of an already started autoimmune process. Polymorphic genes of innate immunity, such as Toll-like receptors, nucleotide-binding oligomerization domain (NOD) 1 and NOD2 and mannose-binding lectin (MBL) genes, did not show a strict association with T1D onset, while protein tyrosine phosphatase (PTPN22), cytotoxic T-lymphocyte antigen (CTLA)4 and natural killer cells immunoglobulin-like receptor (KIR) genes appear to play an important role. However, the adaptive immune response genes (HLA) still provide the major contribution to T1D susceptibility. Here, we review the mechanism by which microorganisms might induce autoimmunity.

Joint genetic susceptibility to type 1 diabetes and autoimmune thyroiditis: from epidemiology to mechanisms

Type 1 diabetes (T1D) and autoimmune thyroid diseases (AITD) frequently occur together within families and in the same individual. The co-occurrence of T1D and AITD in the same patient is one of the variants of the autoimmune polyglandular syndrome type 3 [APS3 variant (APS3v)]. Epidemiological data point to a strong genetic influence on the shared susceptibility to T1D and AITD. Recently, significant progress has been made in our understanding of the genetic association between T1D and AITD. At least three genes have been confirmed as major joint susceptibility genes for T1D and AITD: human leukocyte antigen class II, cytotoxic T-lymphocyte antigen 4 (CTLA-4), and protein tyrosine phosphatase non-receptor type 22. Moreover, the first whole genome linkage study has been recently completed, and additional genes will soon be identified. Not unexpectedly, all the joint genes for T1D and AITD identified so far are involved in immune regulation, specifically in the presentation of antigenic peptides to T cells. One of the lessons learned from the analysis of the joint susceptibility genes for T1D and AITD is that subset analysis is a key to dissecting the etiology of complex diseases. One of the best demonstrations of the power of subset analysis is the CTLA-4 gene in T1D. Although CTLA-4 showed very weak association with T1D, when analyzed in the subset of patients with both T1D and AITD, the genetic effect of CTLA-4 was significantly stronger. Gene-gene and genetic-epigenetic interactions most likely play a role in the shared genetic susceptibility to T1D and AITD. Dissecting these mechanisms will lead to a better understanding of the etiology of T1D and AITD, as well as autoimmunity in general.

Searching for additional disease loci in a genomic region

Our aim is to review methods to optimize detection of all disease genes in a genetic region. As a starting point, we assume there is sufficient evidence from linkage and/or association studies, based on significance levels or replication studies, for the involvement in disease risk of the genetic region under study. For closely linked markers, there will often be multiple associations with disease, and linkage analyses identify a region rather than the specific disease-predisposing gene. Hence, the first task is to identify the primary (major) disease-predisposing gene or genes in a genetic region, and single nucleotide polymorphisms thereof, that is, how to distinguish true associations from those that are just due to linkage disequilibrium with the actual disease-predisposing variants. Then, how do we detect additional disease genes in this genetic region? These two issues are of course very closely interrelated. No existing programs, either individually or in aggregate, can handle the magnitude and complexity of the analyses needed using currently available methods. Further, even with modern computers, one cannot study every possible combination of genetic markers and their haplotypes across the genome, or even within a genetic region. Although we must rely heavily on computers, in the final analysis of multiple effects in a genetic region and/or interaction or independent effects between unlinked genes, manipulation of the data by the individual investigator will play a crucial role. We recommend a multistrategy approach using a variety of complementary methods described below.

Relative predispositional effects of HLA class II DRB1-DQB1 haplotypes and genotypes on type 1 diabetes: a meta-analysis

The direct involvement of the human leukocyte antigen class II DR-DQ genes in type 1 diabetes (T1D) is well established, and these genes display a complex hierarchy of risk effects at the genotype and haplotype levels. We investigated, using data from 38 studies, whether the DR-DQ haplotypes and genotypes show the same relative predispositional effects across populations and ethnic groups. Significant differences in risk within a population were considered, as well as comparisons across populations using the patient/control (P/C) ratio. Within a population, the ratio of the P/C ratios for two different genotypes or haplotypes is a function only of the absolute penetrance values, allowing ranking of risk effects. Categories of consistent predisposing, intermediate ('neutral'), and protective haplotypes were identified and found to correlate with disease prevalence and the marked ethnic differences in DRB1-DQB1 frequencies. Specific effects were identified, for example for predisposing haplotypes, there was a statistically significant and consistent hierarchy for DR4 DQB1*0302s: DRB1*0405 =*0401 =*0402 > *0404 > *0403, with DRB1*0301 DQB1*0200 (DR3) being significantly less predisposing than DRB1*0402 and more than DRB1*0404. The predisposing DRB1*0401 DQB1*0302 haplotype was relatively increased compared with the protective haplotype DRB1*0401 DQB1*0301 in heterozygotes with DR3 compared with heterozygotes with DRB1*0101 DQB1*0501 (DR1). Our results show that meta-analyses and use of the P/C ratio and rankings thereof can be valuable in determining T1D risk factors at the haplotype and amino acid residue levels.