Genetic analysis of IDDM: summary of GAW5 IDDM results

Population Stratification in Genetic Association Studies

Population stratification (PS) is a primary consideration in studies of genetic determinants of human traits. Failure to control for PS may lead to confounding, causing a study to fail for lack of significant results, or resources to be wasted following false-positive signals. Here, historical and current approaches for addressing PS when performing genetic association studies in human populations are reviewed. Methods for detecting the presence of PS, including global and local ancestry methods, are described. Also described are approaches for accounting for PS when calculating association statistics, such that measures of association are not confounded. Many traits are being examined for the first time in minority populations, which may inherently feature PS. © 2017 by John Wiley & Sons, Inc.

Genome-wide linkage analysis of inguinal hernia in pigs using affected sib pairs

BACKGROUND

Inguinal and scrotal hernias are of great concern to pig producers, and lead to poor animal welfare and severe economic loss. Selection against these conditions is highly preferable, but at this time no gene, Quantitative Trait Loci (QTL), or mode of inheritance has been identified in pigs or in any other species. Therefore, a complete genome scan was performed in order to identify genomic regions affecting inguinal and scrotal hernias in pigs. Records from seedstock breeding farms were collected. No clinical examinations were executed on the pigs and there was therefore no distinction between inguinal and scrotal hernias. The genome scan utilised affected sib pairs (ASP), and the data was analysed using both an ASP test based on Non-parametric Linkage (NPL) analysis, and a Transmission Disequilibrium Test (TDT).

RESULTS

Significant QTLs (p < 0.01) were detected on 8 out of 19 porcine chromosomes. The most promising QTLs, however, were detected in SSC1, SSC2, SSC5, SSC6, SSC15, SSC17 and SSCX; all of these regions showed either statistical significance with both statistical methods, or convincing significance with one of the methods. Haplotypes from these suggestive QTL regions were constructed and analysed with TDT. Of these, six different haplotypes were found to be differently transmitted (p < 0.01) to healthy and affected pigs. The most interesting result was one haplotype on SSC5 that was found to be transmitted to hernia pigs with four times higher frequency than to healthy pigs (p < 0.00005).

CONCLUSION

For the first time in any species, a genome scan has revealed suggestive QTLs for inguinal and scrotal hernias. While this study permitted the detection of chromosomal regions only, it is interesting to note that several promising candidate genes, including INSL3, MIS, and CGRP, are located within the highly significant QTL regions. Further studies are required in order to narrow down the suggestive QTL regions, investigate the candidate genes, and to confirm the suggestive QTLs in other populations. The haplotype associated with inguinal and scrotal hernias may help in achieving selection against the disorder.

What is the significance of a significant TDT?

This note summarizes the development of the transmission/disequilibrium test (TDT). The initial purpose of the TDT procedure was to test for linkage between a genetic marker and a disease susceptibility locus when an association had been found between the two. An association between disease and marker had sometimes been taken to imply linkage. An association could, however, be due to population stratification even in the absence of linkage. In contrast, the outcome of the TDT is not affected by such stratification. Furthermore, when linkage is not in doubt, the TDT can, in some cases, also provide a test of association between marker and disease. We discuss these various matters in this paper.

The relationship between immune-mediated Type 1 diabetes mellitus and ethnicity

OBJECTIVE

To determine the proportion of adults with newly diagnosed Type 1 diabetes that had immune-mediated disease (IMD).

SUBJECTS AND METHODS

Two hundred fifteen patients with hyperglycemia and symptoms of insulin deficiency were screened for antibodies [islet cell antibodies (ICA), insulin autoantibodies (IAA), and glutamatic acid decarboxylase antibodies (GADA(65))] and HLA DR/DQ markers of IMD.

RESULTS

The mean age was 34 years and the mean BMI was 30.0 kg/m(2); 21.8% were non-Hispanic white (NHW), 27% were Latin American (LA), 47.9% were African American (AA), and 3.3% of other (OT) ethnic origins. Sixty individuals (28%) had one or more autoantibodies [Ab(+)]: 62% of NHW, 19% of AA, and 19% of LA. BMI was significantly lower (P<.01) in Ab(+). At least one HLA-DQ allele for susceptibility for IMD was identified in 52% of Ab(+).

CONCLUSIONS

These results suggest that islet cell autoantibodies and HLA markers of susceptibility for IMD are frequent in individuals of varying ethnic backgrounds, older age at onset, and higher body weight. Since early insulin therapy could delay what may otherwise be rapid progression to complete insulinopenia in patients with IMD, screening of adult diabetic patients for IMD at diagnosis may be of benefit to long-term management.

An overview of the genetic analysis of complex diseases, with reference to type 1 diabetes

Despite extensive efforts by many groups, progress in the mapping of complex diseases has been exceedingly slow, only a few genes and some genetic regions having been identified. The general picture is one of difficulty in locating disease genes and in the replication of linkages. This results from the role in disease of a large number of genes, many with a relatively minor effect and many involving common genetic variation. A multi-strategy approach to the mapping of complex diseases is required: no single method is sufficient or optimal. The role of human leukocyte antigens in type 1 diabetes has been known for nearly 30 years, and the associations, linkage and genetic contribution to disease are all strong, but all the human leukocyte antigen region genes involved in the disease process have not yet been identified. The methods used in study of this component to type 1 diabetes are a model for all complex diseases.

Design of gene characterization studies: an overview

This collection of papers from the Gene Characterization Panel addresses design issues in studies aimed at assessing the population characteristics of cloned genes, such as their allele frequencies, penetrance, variation in these parameters across subpopulations, and gene-environment and gene-gene interactions. This paper provides an overview of the various designs that have been suggested, including cohort and case-control designs using independent and related individuals as well as optimal multistage sampling and hybrid designs. Various statistical (bias and efficiency) and practical considerations are suggested for evaluation of the alternative designs, with the aim of posing the question, "What is the optimal design for a particular situation"? The answer to this question clearly depends on such contextual issues as nature of the outcome variable, the gene frequency and genetic relative risk, and the importance of gene-environment and gene-gene interactions. Further methodologic work might be usefully directed toward assessment of the seriousness of the population stratification problem in general as well as methods of dealing with it, the utility of registries of high-risk families, and the merits of various hybrid designs for gene discovery and gene characterization.

Novel experimental strategies to prevent the development of type 1 diabetes mellitus

Type 1 diabetes is an autoimmune disease leading to extensive destruction of the pancreatic beta-cells. Our research focusses on the role of beta-cells during the course of the disease, aiming at finding novel strategies to enhance beta-cell resistance against the cytotoxic damage inflicted by the immune system. Special attention has been paid to the possibility that cytokines released by the immune cells infiltrating the pancreatic islets can directly suppress and kill beta-cells. Certain cytokines (interleukin-1beta, tumor necrosis factor-alpha and interferon-gamma) either alone or in combination, are able to activate signal transduction pathways in beta-cells leading to transcription factor activation and de novo gene expression. In this context, it has been found that induction of inducible nitric oxide synthase mediates an elevated production of nitric oxide, which impairs mitochondrial function and causes DNA damage eventually leading to apoptosis and necrosis. However, other induced proteins SUCH AS heat shock protein 70 and superoxide dismutase may reflect a defense reaction elicited in the beta-cells by the cytokines. Our strategy is to further seek for proteins involved in both destruction and protection of beta-cells. Based on this knowledge, we plan to apply gene therapeutic approaches to increase expression of protective genes in beta-cells. If this is feasible we will then evaluate the function and survival of such modified beta-cells in animal models of type 1 diabetes such as the NOD mouse. The long-term goal for this research line is to find novel approaches to influence beta-cell resistance in humans at risk of developing type 1 diabetes.

Linkage and association study of the CTLA-4 region in coeliac disease for Italian and Tunisian populations

Coeliac disease (CD) is a multifactorial disease for which there is an intensive search for genetic risk factors. Some authors found an association between the CTLA-4 region and CD. In the present work, we investigate the possible implication of the CTLA-4 region as a genetic risk factor for CD, through two statistical approaches: the maximum likelihood score (MLS) test in a large Italian sample of affected sib-pairs using polymorphic genetic markers on chromosome 2, and the transmission disequilibrium test (TDT) in continental Italian and Tunisian families using the CTLA-4 exon 1 49 A/G polymorphism. None of these approaches provides evidence for linkage or association between the CTLA-4 region and CD. This might result from a difference in the CTLA-4 region from population to population, either in its involvement as a risk factor or in the strength of linkage disequilibrium.

Variable age at onset in insulin-dependent diabetes mellitus, by the marker-association-segregation-chi 2 method

The marker-association-segregation-chi 2 (MASC) method with consideration of age, for nonaffected persons, and of age at onset, for affected persons, was applied to a sample of 308 HLA-typed families. Hazard rates modeling the instantaneous risk of catching the disease were estimated under the exponential distribution and with satisfactory goodness of fit. This class of models shows that the hypothesis of the absence of parental imprinting cannot be rejected for insulin-dependent diabetes mellitus.

Molecular genetics of diabetes mellitus

As a result of advances in technology, genome searches have been carried out for susceptibility genes for type 1 diabetes in humans and in the NOD mouse. These have shown that, in the NOD mouse, diabetes susceptibility is under the control of at least ten separate chromosomal loci. In the human, in addition to HLA and INS, two new susceptibility genes have been localized, IDDM4 on chromosome 11q and IDDM5 on 6q, demonstrating the polygenic nature of type 1 diabetes and the role of HLA as the major locus. Candidate genes at these loci are the subject of current investigation. Genetic and immunological markers of disease may be of value in screening the general population for individuals at risk of developing type 1 diabetes. The predictive power of different screening strategies should be tested in order to work out the potential value to the general population of preventive therapies that are now undergoing clinical trials in high risk 'pre-diabetics'. Type 2 diabetes is genetically heterogeneous, and, since 1992, two distinct genetic subtypes have been identified. The first is defined by mutations in the GCK gene, which cause up to 60% of cases of MODY. The second, designated MIDD (maternally inherited diabetes and deafness), is defined by mutation in the mitochondrial gene for tRNA(Leu(UUR)). MIDD patients are less obese than is usual for typical type 2 diabetes, may present in early adult life or occasionally in childhood and may have been diagnosed as having autoimmune type 1 diabetes, type 2 diabetes or MODY. Typically, patients with MIDD require insulin earlier than do type 2 diabetics without mitochondrial mutations. Genetically complex diseases, such as diabetes, hypertension, cancer and coronary heart disease, are common in most populations. The approaches to the genetic analysis of diabetes outlined in this review are likely to be useful to the genetic analysis of many of these disorders. Progress in this area will have important implications for public health strategies in the next decade and beyond.

HLA disease associations: models for the study of complex human genetic disorders

The genes of the human leukocyte antigen (HLA) region, the major histocompatibility complex (MHC) of humans, control a variety of functions involved in immune response and influence susceptibility to over 40 diseases. Theoretical studies in the development of models to determine the modes of inheritance of the HLA-associated diseases have led to a better understanding of the inheritance patterns in insulin-dependent diabetes mellitus (IDDM), rheumatoid arthritis, multiple sclerosis, ankylosing spondylitis, hemochromatosis, celiac disease, and others. It is now clear that many of the HLA-associated diseases involve heterogeneity in their HLA components, as well as non-HLA genetic factors. This review is presented using HLA-associated diseases, and in particular IDDM, as the example of interest, but the observations and techniques presented have direct relevance to the study of all human diseases with a complex genetic component. Three methods for localizing disease-predisposing genes are presented: (1) association studies, including population, family, and relative predispositional effects, (2) affected sib pair and other affected-relative methods, and (3) lod score analysis. A variety of complementary methods for studying the mode(s) of inheritance of the alleles at the disease-predisposing locus and for identifying the alleles and amino acids directly involved in the disease process also are presented.

Genetic dissection of complex traits

Medical genetics was revolutionized during the 1980s by the application of genetic mapping to locate the genes responsible for simple Mendelian diseases. Most diseases and traits, however, do not follow simple inheritance patterns. Genetics have thus begun taking up the even greater challenge of the genetic dissection of complex traits. Four major approaches have been developed: linkage analysis, allele-sharing methods, association studies, and polygenic analysis of experimental crosses. This article synthesizes the current state of the genetic dissection of complex traits--describing the methods, limitations, and recent applications to biological problems.

Genetic susceptibility markers in Danish patients with type 1 (insulin-dependent) diabetes--evidence for polygenicity in man. Danish Study Group of Diabetes in Childhood

Fifty-five Danish families with two offspring concordant for type 1 diabetes--identified through a nationwide population-based survey, and 57 "true sporadic" cases--matched with familial cases for age at onset, but with no IDDM-affected first-degree relatives and long disease duration, and 110 control subjects were typed for putative genetic susceptibility markers for type 1 diabetes identified from a pathogenetic model. The markers included MHC class I, II and III loci, the manganese superoxide dismutase (MnSOD) locus (chr. 6q), interleukin-1 beta (IL1B), the IL-1 receptor antagonist (IL1RN), and the IL-1 type 1 receptor (IL1RI) loci (each chr. 2q). No significant differences between familial and sporadic cases were found within the MHC region (including the following loci: HLA-DQ, -DR, heat shock protein (HSP) 70, tumour necrosis factor (TNF), HLA-B and -A). In both groups of patients 11% were negative for both DQA1*0301-DQB1*0302 and DQA1*0501-DQB1*0201 genotypes, and 7% of the type 1 diabetics had genotypes unable to encode a susceptibility DQ alpha beta heterodimer. Disease association was found for the IL1RN (p = 0.04) and for the IL1RI (p = 0.03). When comparing controls and only familial cases with type 1 diabetes for the IL1RN polymorphism a difference was observed (p = 0.003). For the IL1B RFLP a trend for difference was observed between familial cases and control subjects (p = 0.046), whereas no differences between sporadic cases and control subjects could be demonstrated neither at the IL1B nor at the IL1RN loci. A difference in the MnSOD pattern was observed between sporadic cases and controls (p = 0.04).

T cell receptor haplotypes in families of patients with insulin-dependent diabetes mellitus

The frequencies of Bgl 11 and BamH1 restriction fragment length polymorphisms (RFLP) of C beta, V beta 8, V beta 11 and V beta 7.2 have been defined in a healthy Australian population. Linkage disequilibrium between alleles of the T cell receptor (TCR) V beta 8 and V beta 11 gene segments has been confirmed. We have also confirmed the lack of linkage disequilibrium between either of these loci and alleles at C beta or V beta 7.2. Using RFLPs at V beta 11 and V beta 8 loci TCR beta haplotypes have been identified in five families in which the probands have insulin-dependent diabetes mellitus (IDDM). An extremely rare haplotype, marked by the higher molecular weight BamH1 allele (H, H) at each of V beta 11 and V beta 8, was found in the DR4+ DR3- probands of two families (P = 0.004). In three families in which the probands had DR3, the more common TCR haplotype LH (V beta 11, V beta 8) was found. Taken together, these data confirm that linkage disequilibrium does exist in the TCR beta locus, at least in some regions, and suggest that detailed analysis of the relationship between TCR V beta haplotypes and HLA is warranted since these RFLPs may be markers for important allelic V gene sequence variations.

Homozygous parent affected sib pair method for detecting disease predisposing variants: application to insulin dependent diabetes mellitus

For complex genetic diseases involving incomplete penetrance, genetic heterogeneity, and multiple disease genes, it is often difficult to determine the molecular variant(s) responsible for the disease pathogenesis. Linkage and association studies may help identify genetic regions and molecular variants suspected of being directly responsible for disease predisposition or protection, but, especially for complex diseases, they are less useful for determining when a predisposing molecular variant has been identified. In this paper, we expand upon the simple concept that if a genetic factor predisposing to disease has been fully identified, then a parent homozygous for this factor should transmit either of his/her copies at random to any affected children. Closely linked markers are used to determine identity by descent values in affected sib pairs from a parent homozygous for a putative disease predisposing factor. The expected deviation of haplotype sharing from 50%, when not all haplotypes carrying this factor are in fact equally predisposing, has been algebraically determined for a single locus general disease model. Equations to determine expected sharing for multiple disease alleles or multiple disease locus models have been formulated. The recessive case is in practice limiting and therefore can be used to estimate the maximum proportion of putative susceptibility haplotypes which are in fact predisposing to disease when the mode of inheritance of a disease is unknown. This method has been applied to 27 DR3/DR3 parents and 50 DR4/DR4 parents who have at least 2 children affected with insulin dependent diabetes mellitus (IDDM). The transmission of both DR3 and DR4 haplotypes is statistically different from 50% (P < 0.05 and P < 0.001, respectively). An upper estimate for the proportion of DR3 haplotypes associated with a high IDDM susceptibility is 49%, and for DR4 haplotypes 38%. Our results show that the joint presence of non-Asp at DQ beta position 57 and Arg at DQ alpha position 52, which has been proposed as a strong IDDM predisposing factor, is insufficient to explain the HLA component of IDDM predisposition.

The HLA DQB1*0502 allele is neutrally associated with insulin-dependent diabetes mellitus in the Sardinian population

In the Sardinian population a very high incidence of insulin-dependent diabetes mellitus (IDDM) and the lack of HLA-DR2 protective effect due to the high frequency of the A2, Cw7, B17, 3F31, DR2, DQw1 extended haplotype has been reported. This haplotype, carrying a Serine at position 57 of the DQB1*0502 allele, has been previously reported to be underrepresented in patients when compared to controls. In order to provide an explanation for this finding, we defined by RFLP analysis the HLA haplotype of 45 Sardinian IDDM patients and 49 controls. All DR-2DQw1 subjects were molecularly characterized at the HLA DQA and DQB loci. All DR2-positive patients and the vast majority of the DR2-positive controls had the DQB1*0502 allele at the DR2-linked DQB1 locus, with no statistically significant difference between the two groups. All DQA1 genes were the ones expected, with only two exceptions. Nine out of 10 of the DR2-positive patients were compound heterozygotes for DQB1*0201/DQB1*0502 alleles; only this allele combination was significantly increased (p less than 0.0003). Our data suggests that a) the DQB1*0502 allele is neutral for IDDM development and b) the susceptibility to IDDM in our DR2-positive patients is related to the compound heterozygous state between the neutral DQA1*0102/DQB1*0502 and the susceptibility DQA1*0501/DQB1*0201 alleles.

HLA-DR and the 5' insulin gene polymorphism in insulin-dependent diabetes

While the human leukocyte antigen (HLA) region provides the major susceptibility for insulin-dependent (type I) diabetes mellitus (IDDM), other (non-HLA) genes must also play a role. Population studies have shown an increased frequency of small insertions (class I alleles) 5' to the insulin gene in individuals with IDDM, suggesting that this region may account for part, if not all, of the non-HLA genetic predisposition. However, no data are available as to whether the relation of the insulin gene polymorphism is to a DR-defined subset of IDDM or with all of IDDM. To test the hypothesis that specific combinations of HLA and insulin gene polymorphism alleles may interact in providing susceptibility for IDDM, HLA-DR and 5' insulin gene insertion size have been determined in 300 individuals with IDDM. The frequency of class 1 insulin gene alleles in the entire sample is 0.79 and the frequency of class 3 alleles (large inserts) is 0.20. The frequencies of class 1 alleles were equal across all DR classes: 0.79 in the DR3/X IDDM subjects, 0.80 in the DR4/X, 0.79 in the DR3/4, and 0.78 in those with DRX/X. Additionally, the frequencies of class 1/1 homozygotes and 1/3 heterozygotes were similar between HLA-DR types. These results suggest that the HLA region and the region 5' to the insulin gene provide independent and nonsynergistic genetic risks for IDDM.

Insulin-IGF2 region on chromosome 11p encodes a gene implicated in HLA-DR4-dependent diabetes susceptibility

A class of alleles at the VNTR (variable number of tandem repeat) locus in the 5' region of the insulin gene (INS) on chromosome 11p is associated with increased risk of insulin-dependent diabetes mellitus (IDDM), but family studies have failed to demonstrate linkage. INS is thought to contribute to IDDM susceptibility but this view has been difficult to reconcile with the lack of linkage evidence. We thus investigated polymorphisms of INS and neighbouring loci in random diabetics, IDDM multiplex families and controls. HLA-DR4-positive diabetics showed an increased risk associated with common variants at polymorphic sites in a 19-kilobase segment spanned by the 5' INS VNTR and the third intron of the gene for insulin-like growth factor II (IGF2). As INS is the major candidate gene from this region, diabetic and control sequence were compared to identify all INS polymorphisms that could contribute to disease susceptibility. In multiplex families the IDDM-associated alleles were transmitted preferentially to HLA-DR4-positive diabetic offspring from heterozygous parents. The effect was strongest in paternal meioses, suggesting a possible role for maternal imprinting. Our results strongly support the existence of a gene or genes affecting HLA-DR4 IDDM susceptibility which is located in a 19-kilobase region of INS-IGF2. Our results also suggest new ways to map susceptibility loci in other common diseases.

Use of DNA polymorphisms for genetic analysis of non-insulin dependent diabetes mellitus

Polymorphisms occur on the average of one out of every 500 base pairs of DNA, and these polymorphisms provide useful markers for genetic analysis. Hundreds of RFLP markers have been mapped at regular intervals throughout the human genome. Diabetes genes have not been mapped with these markers, however, only one MODY family has been partially evaluated. This type of analysis is further complicated if NIDDM is multigenic and/or polygenic. RFLPs have been used to evaluate specific candidate loci for NIDDM, e.g. the insulin, insulin receptor and glucose transporter genes. For these analyses, population and family studies (limited in number) have suggested that none of these loci are major contributors to the genetic susceptibility to NIDDM. In no case, however, could a contribution of 10% or less of these loci be confidently excluded, because of variable penetrance, different degrees of linkage disequilibrium between RFLPs and putative mutations, the frequencies of the RFLPs in non-diabetic populations, and inadequate sample size. The conclusions are clear: either (1) the correct candidate gene(s) has not been found, or (2) sample sizes need to be increased by at least an order of magnitude, or (3) newer methods of analysis must be adopted (e.g. use of extended haplotypes and associations with subphenotypes, or screening with allele specific oligonucleotide probes, denaturing gradient gel electrophoresis or direct genomic sequencing of polymerase chain reaction amplified DNA).

The contribution of non-MHC genes to susceptibility to autoimmune diseases

Genetic studies of experimental models of autoimmune diseases, including systemic lupus-like syndromes and organ-specific autoimmunity, provide major information on genetic control of autoimmune diseases. In addition to genes known to be linked to the major histocompatibility complex (MHC), these studies point to multiple genes located outside the MHC that influence the onset and the progression of autoimmune diseases. Identification of these genes and of their interrelationships is now a major task that will be facilitated by recent progress in molecular biology and gene mapping. Among candidate genes, antigen-receptor genes (i.e., immunoglobulin- and T-cell receptor genes) most likely contribute an important part of the autoimmune susceptibility in several of these animal models. Available linkage data suggest a similar involvement of these antigen-receptor genes in several human autoimmune diseases. In addition to a better understanding of pathogenic mechanisms associated with autoimmunity, the knowledge of these disease-predisposing genes is expected to permit a better classification of often complex syndromes as well as the design of new treatments.

Viral antibody titers, immunogenetic markers, and their interrelations in multiple sclerosis patients and controls

Our purpose was to investigate possible interrelations between antibody titers against seven viruses (measles, rubella, herpes simplex, mumps, varicella-zoster, coronavirus, cytomegalovirus), HLA-class II antigens, and immunoglobulin Gm allotypes in multiple sclerosis (MS). We studied 57 MS patients and 59 controls with similar age and sex distributions. In MS patients, we found the classical increased frequency of HLA-DR2, HLA-DQw1 and also an excess of Gm (3; +/- 23; 5*). Mumps antibody levels were higher in MS patients than in controls; elevation was not significant for measles antibodies. Analysis suggests that an association between HLA-DQw1 and antibody titers against various viruses exists in controls but is absent in MS patients. In particular, we found that mumps antibody titers were higher in DQw1-positive than in DQw1-negative controls, while there was no significant difference among MS cases. Accordingly, we found that the overall difference between patients and controls was due to the fact that DQw1-positive patients had higher titers than controls, while DQw1-negative cases had similar titers as controls. These findings suggest that biological and molecular characteristics of DQw1 might differ in MS patients.

HLA 1990

The HLA system encompasses approximately one thousandth of the human genome and contains a series of closely linked loci coding for molecules which provide the context for the recognition of antigens by T lymphocytes. Within the HLA system, several phenotypically expressed and genomic polymorphisms can be distinguished. These polymorphisms are described and the main objectives for the future research are discussed.

Genetic control of autoimmunity in type 1 diabetes

DNA sequence analysis of major histocompatibility complex (MHC) class II genes from humans and rodents with type 1 (insulin-dependent) diabetes indicates that a portion of MHC-linked genetic susceptibility in humans is determined by the HLA-DQA1 and -DQB1 loci. In this article John Todd summarizes recent advances in these studies. The conformation of DQ molecules and their levels of expression may influence the efficiency of autoantigen presentation and the degree of pancreatic beta cells destruction during disease development. Certain DAQ1 and DQB1 alleles correlate with decreased susceptibility to disease. The penetrance of class II alleles that are correlated with positive susceptibility may be influenced by environmental factors such as bacterial and viral infections.

Restriction fragment length polymorphism analysis of HLA haplotypes in families with type I diabetes mellitus

HLA Class II polymorphisms were analysed in 27 families with at least one Type I diabetic proband using Southern blotting technique according to 10th Histocompatibility Workshop Standards. The probes used were DRB, DQA1, DQB1 and DOB. We have studied 108 haplotypes and performed segregation analysis with HLA serology and restriction fragment length polymorphism (RFLP) data and compared "affected" with "non-affected" haplotypes (not inherited by IDDM patients). RFLPs correlated well with DR and DQ serology and detected additional polymorphisms. In particular, DQB polymorphism analysis showed segregation of the DQw3 splits with 88.5% of the DR4 affected haplotypes bearing the DQw3.2 split (now DQw8) and 11.5% the DQw3.1 split (now DQw7) while in the non-affected DR4 haplotypes 33.3% were DQw3.2 and 66.6% were DQw3.1. Haplotype analysis showed that DR4-DQw3.2 was in strong linkage with the U fragment (2.1 kb Taq I) of DQA2 (DX alpha) and with the L fragment (5.4 kb BamH I) of DOB. This study confirms previous observations of DQB polymorphisms in heterozygous IDDM patients, supports the protective effect of DQw3.1 (DQw7) against the development of the disease and demonstrates the importance of DQw3.2 (DQw8) for susceptibility to Type I diabetes.

Restriction fragment polymorphisms of the HLA-DR, HLA-DQ, and insulin gene regions in IDDM: the GAW5 data

The primary aim of the insulin-dependent diabetes mellitus (IDDM) component of Genetic Analysis Workshop 5 (GAW5) was to collect and analyze new data on DNA polymorphisms closely linked to the HLA-D region and the insulin gene. The probes and restriction enzymes described here were used by all ten participating labs, and the data from Southern blotting were interpreted and reported according to conventions developed for the Workshop. These DNA data on members of 94 families with two or more IDDM sibs constitute the largest such sample available. The data were used in most of the analyses presented at the Workshop meeting, and are available on request.