Analysis of antibody markers, DRB1, DRB5, DQA1 and DQB1 genes and modeling of DR2 molecules in DR2-positive patients with insulin-dependent diabetes mellitus

Non-HLA type 1 diabetes genes modulate disease risk together with HLA-DQ and islet autoantibodies

The possible interrelations between HLA-DQ, non-HLA single nucleotide polymorphisms (SNPs) and islet autoantibodies were investigated at clinical onset in 1-34 year old type 1 diabetes (T1D) patients (n=305) and controls (n=203). Among the non-HLA SNPs reported by the Type 1 Diabetes Genetics Consortium, 24% were supported in this Swedish replication set including that the increased risk of minor PTPN22 allele and high risk HLA was modified by GAD65 autoantibodies. The association between T1D and the minor AA+AC genotype in ERBB3 gene was stronger among IA-2 autoantibody-positive patients (comparison p=0.047). The association between T1D and the common insulin (AA) genotype was stronger among insulin autoantibody (IAA)-positive patients (comparison p=0.008). In contrast, the association between T1D and unidentified 26471 gene was stronger among IAA-negative (comparison p=0.049) and IA-2 autoantibody-negative (comparison p=0.052) patients. Finally, the association between IL2RA and T1D was stronger among IAA-positive than among IAA-negative patients (comparison p=0.028). These results suggest that the increased risk of T1D by non-HLA genes is often modified by both islet autoantibodies and HLA-DQ. The interactions between non-HLA genes, islet autoantibodies and HLA-DQ should be taken into account in T1D prediction studies as well as in prevention trials aimed at inducing immunological tolerance to islet autoantigens.

Prevention of beta-cell destruction in autoimmune diabetes: current approaches and future prospects

Type 1 diabetes (T1D) is an autoimmune disease resulting from the destruction of pancreatic beta-cells. The main aim of treatment should be to prevent beta-cell destruction and preserve existing beta-cells in individuals with progressive autoimmunity. This can be achieved in several ways and in this chapter the authors have reviewed recent approaches that are currently being tested in animal models and human T1D patients under the following categories: i) antigen based therapy, ii) antibody-based therapy iii) other forms of therapy and iv) failed therapies.

Immunogenetic susceptibility to diabetes mellitus in patients with liver disease

BACKGROUND/AIM

Genetic, environmental, metabolic and infectious influences, such as hepatitis C virus (HCV) infection, are thought to impact on the development of diabetes in patients with liver disease. As specific human leucocyte antigen (HLA) alleles provide the major genetic risk factors for type 1 diabetes, our aim was to investigate whether HLA class I and II alleles constitute additional risk factors for diabetes in patients with liver disease.

METHODS

We evaluated two independent databases of 193 and 728 adult patients with chronic liver disease for the diagnosis of diabetes and the presence of specific HLA subtypes.

RESULTS

In each database, 24 and 19% of patients met criteria for diabetes. In the first database, specific class I and II alleles were observed more frequently in diabetics compared with non-diabetics: Cw7 (50 vs. 32%, P=0.04), DR51 (17 vs. 3%P=0.003) and DQ6 (37 vs. 18%, P=0.02). In the second database, DQ6 was observed in 16% of diabetics vs. 8% of non-diabetics (P=0.04). The DR2-DR51-DQ6 haplotype was higher in patients with diabetes in both databases (22 vs.7%, P=0.02 and 12 vs. 5%, P=0.02). In a subgroup analysis of patients with HCV infection, increased frequencies of Cw7, DR2/DR51, DQ6 and DR2-DR51-DQ6 were also observed to be higher in subjects with diabetes compared with those without diabetes.

CONCLUSIONS

Patients with chronic liver disease, especially those with HCV infection, have an immunogenetic risk for diabetes characterized by the presence of Cw7, DR51, DQ6 and DR2-DR51-DQ6.

Risk conferred by HLA-DR and DQ for type 1 diabetes in 0-35-year age group in Sweden

HLA DR4-DQ8 and DR3-DQ2 haplotypes account for 89% of newly diagnosed cases of type 1 diabetes (T1D) in Sweden. The presence of a single copy of DQ6 confers protection. The aim of the present study is to evaluate whether the risk conferred by high risk HLA DR and DQ to T1D is similar in all regions of Sweden and see whether there are any significant regional differences. The subjects comprised 799 consecutively diagnosed T1D patients and 585 age-, sex-, and geography-matched healthy controls in the age group 0-35 years. HLA typing for high-risk haplotypes was previously performed using PCR-SSOP and RFLP. The results showed that HLA DR3-DR4 gave an odds ratio of 8.14 for the whole of Sweden. However, when the study group was divided into six geographical regions, subjects from Stockholm had the highest OR, followed by those from Lund, Linköping, Gothenburg, Umeå, and Uppsala. Absolute protection was conferred by the presence of DQ6 in subjects from the Linköping region, but varied in the other regions. The frequency of DR3 and DQ2, DR4 and DQ8, DR15, and DQ6 in patients showed high linkage for each region, but were different between regions.

IN CONCLUSION

The risk conferred by high-risk HLA varies in different regions for a homogenous population in Sweden. The results highlight the important role played by the various environmental factors in the precipitation of T1D.

Autoimmune diabetes mellitus with adult onset and type 1 diabetes mellitus in children have different genetic predispositions

Type 1 diabetes with manifestation after 35 years of age is defined by CP <200 pmol/L and institution of insulin therapy within 6 months after diagnosis. Latent autoimmune diabetes mellitus in adults (LADA) manifesting after 35 years of age is defined by minimum 6 months after diagnosis without insulin therapy and C peptide (CP) >200 pmol/L and antiGAD > 50 ng/mL. We aimed to find a possible genetic discrimination among different types of autoimmune diabetes. To accomplish this goal, we analyzed DNA samples from 31 LADA patients, 75 patients with adult-onset type 1 diabetes mellitus, 188 type 1 diabetic children, and 153 healthy adult individuals. We studied five genetic loci on chromosomes 6, 11, 4, and 14: HLA DRB1 and DQB1 alleles, major histocompatibility complex (MHC) class I-related gene-A (MIC-A) microsatellite polymorphism, interleukin (IL)-18 single nucleotide polymorphism, the microsatellite polymorphism of nuclear factor kappa B gene (NF-kappaB1), and the single nucleotide polymorphism of a gene for its inhibitor (NF-kappaBIA). HLA-DR3 was detected as the predisposition allele for LADA (OR = 4.94, P < 0.0001). Further we found a statistically significant increase of NF-kappaBIA AA genotype (OR = 2.68, P < 0.01). On the other hand, DRB1*04, which is linked with DQB1*0302, was observed as a risk factor in patients with type 1 diabetes mellitus (T1DM) onset after 35 years of age (OR = 10.47, P < 0.0001 and OR = 9.49, P < 0.0001, respectively). There was also an association with MIC-A5.1 (OR = 2.14, P < 0.01). Statistically significant difference was found in the distribution of IL-18 promoter -607 (C/A) polymorphism between LADA and T1DM in adults (P < 0.01). We conclude that all subgroups of autoimmune diabetes have partly different immunogenetic predisposition.

Genes Influencing Innate and Acquired Immunity in Type 1 Diabetes and Latent Autoimmune Diabetes in Adults

DQ8 and DQ2 are associated with susceptibility to and DQ6 with protection from type 1 diabetes mellitus (T1DM). A set of polymorphic genes, called MHC class I chain-related genes (MIC-A) in HLA class I region interact with NK cells. In Italians, MICA allele 5 increases T1DM risk by 6.1. Together with HLA-DQ8 and DQ2 the risk increases severalfold. HLA class I genes, also identified as susceptibility genes for T1DM, interact with polymorphic killer immunoglobulin-like receptors (KIR) on NK cells. HLA-DQ8 and DQ2 and MICA-5 in Swedish and other populations also show positive association with disease. Studies on KIR in Latvian patients with T1DM also suggest a role for KIR in the etiology of T1DM. The results from MICA and KIR studies suggest that polymorphism of these genes of the innate immune system identify possible defects in the first line of antiviral defense in the etiology of T1DM. Screening for these genes could be important in the prediction strategies for T1DM.

The combination of several polymorphic amino acid residues in the DQalpha and DQbeta chains forms a domain structure pattern and is associated with insulin-dependent diabetes mellitus

IDDM is positively associated with HLA-DQA1*0301-DQB1*0302 (DQ8) and DQA1*0501-DQB1*0201 (DQ2) and negatively associated with DQA1*0102-DQB1*0602 (DQ6). The aim of the present study was to analyze the importance of several polymorphic residues and domains of DQalpha and DQbeta, in addition to residue 52 DQalpha and residue 57 DQbeta, with regard to susceptibility or resistance in new-onset 0- to 15-year-old Swedish children with IDDM (n = 425) and matched controls (n = 367). HLA genotyping identified several polymorphic residues of the DQalpha and DQbeta to be either positively or negatively associated with IDDM, including Arg 52 DQalpha and Asp 57 DQbeta. Leu 69 DQalpha was positively (OR 7.02, P < 0.0001), Ala 69 DQalpha was negatively (OR 0.22, P < 0.0001), Gln 47 DQalpha was positively (OR 5.8, P < 0.0001), Cys 47 DQalpha was positively (OR 2.2, P < 0.0001), Lys 47 DQalpha was negatively (OR 0.47, P < 0.005), and Arg 47 DQalpha was negatively (OR 0.22, P < 0.005) associated with IDDM. Similarly, residues at 11, 18, 45, 48, 50, 53, 55, 61, 64, 66, 76, and 80 were either positively or negatively associated with IDDM. Likewise, for DQbeta, Leu 53 DQbeta was positively (OR 11.01, P < 0.0001), Gln 53 DQbeta was negatively (OR 0.22, P < 0.0005), Arg 70 DQbeta was positively (OR 11.01, P < 0.0001), and Gly 70 DQbeta was negatively (OR 0.19, P < 0.0001) associated like other residues at 71, 74, 84, 85, 86, 89, and 90 DQbeta with IDDM. Certain domains in the DQalpha, RFTIL (at DQalpha positions 52, 61, 64, 66, and 69), were present in 95% of patients compared to 69% of controls (OR 9.01, P(c) < 0.0001), and DQbeta domain GR (at DQbeta positions 45 and 70) was present in 95% of patients and 68% of controls (OR 8.68, P < 0.0001), which correlated better than the individual amino acid residues with IDDM. A combination of the DQalpha and DQbeta chain domains was present in 94% of patients compared to 60% of controls (OR 10.6, P < 0.001). In conclusion, domains in the DQalpha, DQbeta, or both in the DQ molecule explain susceptibility or resistance to IDDM better than individual amino acid residues of DQA1 and DQB1.

Genetics of latent autoimmune diabetes in adults

Slowly progressive insulin-dependent diabetes mellitus (IDDM), like classical IDDM, is also associated with genetic markers. HLA-DR3 but not DR4 is associated with latent autoimmune diabetes in adults (LADA). In GAD65 antibody-positive Finnish LADA patients, DQB1*0302 is positively associated with the disease. Alleles of the MHC class I chain-related A (MICA) gene located centromeric to the HLA-B gene is associated with LADA. Allele 5.1 of MICA was associated with both LADA and adult-onset Italian IDDM patients when compared to controls. This finding was also observed in Indian and Latvian patients with LADA. These findings suggest that certain genetic markers distinguish LADA better.

Immunogenetic studies on malnutrition-modulated diabetes mellitus

Genetic studies of malnutrition-related diabetes are few. We have analyzed the HLA class II gene polymorphism in malnutrition-modulated diabetes mellitus (MMDM), which was previously referred to as protein-deficient diabetes mellitus (PDDM) in the 1985 WHO classification. Insulin-dependent diabetes mellitus (IDDM) is a polygenic disorder with an autoimmune basis for disease development. In addition to HLA, a second susceptibility locus for IDDM has been identified to lie in the major histocompatibility class III region. Both IDDM and MMDM in eastern Indians are associated with DR3-DQ2 but not DR4-DQ8. The presence of autoantibodies to IDDM autoantigens in clinical MMDM either identifies the slow-onset form of IDDM or suggests autoimmunity different from that in IDDM. Our study demonstrates that the presence of GAD65 antibody and DR3-DQ2 positivity in MMDM patients identifies the underlying autoimmune mechanism in the etiology in eastern India. In autoantibody-negative MMDM patients an association with DR7-DQ2 is identified. The date obtained also indicate the possibility that MMDM can coexist with IDDM in these patients and that malnutrition could be one of the reasons for the slower onset in IDDM-prone individuals. The association of DR7-DQ2 suggests that there is a different immunogenetic background to MMDM than to IDDM. MICA is located in the MHC class I region and is expressed by monocytes, keratinocytes, and endothelial cells. Sequence determination of MICA gene identifies trinucleotide repeat (GCT) microsatellite polymorphism in exon 5. Five alleles with 4, 5, 6, and 9 repetitions of GCT or 5 repetitions of GCT with 1 additional nucleotide insertion (GGCT) are identified. The alleles are A4, A5, A5.1, A6, and A9. We studied the association of MICA alleles with IDDM (n = 52) and MMDM (n = 41) patients and healthy controls (n = 73) from Cuttack, eastern India. MICA was typed by PCR amplification, and fragment sizes were determined in an ABI prism DNA sequencer. Allele 9 of MICA is positively and allele 4 negatively associated with MMDM patients compared to controls. Allele 5 is positively associated with IDDM (OR 2.64, P < 0.05) when compared to controls. Our findings suggest that MMDM is immunogenetically different from IDDM in eastern India and that MIC-A is important in the pathogenesis of MMDM patients from Cuttack in eastern India.

HLA-DQ6-mediated protection in IDDM

Insulin-dependent diabetes mellitus is positively associated with DQ8, DQ2, and DQ6 (DQB1*0604), and negatively associated with DQ6 (DQB1*0602), DQ6 (DQB1*0603), and DQ7 in Swedish caucasians. The protection conferred by DQ6 (DQB1*0602) is stronger in younger individuals and there is decrease in the effect of protection with increasing age. Three-dimensional modeling of the susceptible DQ6 (DQB1*0604) and protective DQ6 (DQB1*0602), which share the same DQA chain (DQA1*0102) but differ in the DQB chain at 6 residues, identifies residue 57 and 70 to be important for protection. Three-dimensional models of the DQ8 molecules were constructed from the coordinates of the DR1 crystal structure and other susceptibility and resistance molecules were made by homology modeling. The positively associated DQ molecules had weakly negative to significantly positive surface electrostatic potentials over the peptide binding and T cell recognition areas, whereas the negatively associated molecules had distinctly more negative areas over the relevant surface. This suggests that the variation in the physicochemical properties such as molecular electrostatic potentials among different DQ molecules are important.

Association of HLA class II alleles with different subgroups of diabetes mellitus in Eastern India identify different associations with IDDM and malnutrition-related diabetes

Genetic studies of Malnutrition related diabetes are few. We have analyzed HLA class II gene polymorphism in different types of diabetes mellitus patients from Cuttack in Eastern India. Patients with insulin-dependent diabetes mellitus (IDDM), non-insulin-dependent diabetes mellitus (NIDDM) and malnutrition-related diabetes mellitus (MRDM), which is subdivided into protein-deficient diabetes mellitus (PDDM) and fibrocalculous pancreatic diabetes (FCPD), were studied and their associations with autoantibody markers. IDDM and PDDM were associated with DR3 and DQ2 but not DR4 and DQ8. FCPD was positively associated with DQ9 (A*0201-B*0303). The association of DQ9 with FCPD suggests differences in the genetic background for susceptibility between IDDM and MRDM in the Cuttack population. There is no association seen between HLA-DR-DQ and NIDDM patients from Eastern India. Clinical classification of diabetes into IDDM, NIDDM and MRDM does not identify the underlying pathological mechanisms. Presence of autoantibodies to IDDM autoantigens in clinical MRDM and NIDDM identifies the slow-onset form of IDDM. Due to the absence of autoantibody assays for diagnosis of IDDM in India, slow onset IDDM is not diagnosed and the patients are classified as NIDDM or MRDM. Our study demonstrates that the presence of GAD65 antibody and DR3-DQ2 positivity in MRDM and NIDDM patients in Eastern India would suggest the presence of slow-onset IDDM. Our data would indicate alternatively that MRDM can coexist with IDDM in these patients and malnutrition could be one of the reasons for the slower onset in IDDM-prone individuals.

HLA-DR and -DQ gene polymorphism in Latvian patients with insulin-dependent diabetes mellitus

Latvian insulin-dependent diabetes mellitus (IDDM) patients (n=101) and healthy controls (n=111) were analyzed for HLA-DR and DQ polymorphism. DR3-DQ2 and DR4-DQ8 were positively associated and DR15-DQ6, DR13-DQ6, DR1-DQ5 and DQ7 negatively associated with the disease. The incidence of IDDM in Latvia is very low (6.5 per 100,000) compared to Sweden (24.4 per 100,000), even though Latvia is close to Sweden. The reasons for the decreased incidence are not clear. When the negatively associated DQ were taken together in the healthy controls, more than 75% of the healthy controls were positive for one of the four negatively associated DQ molecules. The excess frequency of the negatively associated DQ molecules in the general population could explain the lower incidence of IDDM in Latvia. Association of HLA-DR and DQ genes with autoantibody markers shows DR3, but not DQ2, to be increased in GAD65 antibody-positive compared to antibody-negative patients. This association was not observed with ICA512 antibodies.

Diversity of HLA-DR2 in North Indians: the changed scenario after the discovery of DRB1*1506

DRB1*1506, a new allele of DR2, differs from DRB1*1501 only at codon 50 in the second exon, where the nucleotide sequence has changed from GTG to GCG resulting in an amino acid substitution from valine to alanine in DRB1*1506. Since codon 50 was considered non-polymorphic until the discovery of this new allele by sequence-based typing, it became necessary to study what fraction of subjects thought to have DRB1*1501 actually had DRB1*1506. For this purpose, 116 DNA samples with DR2 coming from normal healthy individuals, leprosy patients and childhood tuberculosis patients were amplified using PCR and hybridized with 32P-labeled probes specific for DRB1*1501, DRB1*1502, DRB1*1503, DRB1*1506, DRB1*1601 and DRB1*1602. The oligonucleotide probe for DRB1*1506 was designed to span codons 47-52 based on the published nucleotide sequence. DRB5, DQA1 and DQB1-specific amplifications and hybridizations were also carried out to study the diversity of DR2 haplotypes. It was found that 21% of the samples identified previously as DRB1*1501 were actually DRB1*1506. DRB1*1506 was found to be associated with DQB1*0502 and DQB1*0601. Haplotypes of DRB1*1501, DRB1*1502, DRB1*1506 and DRB1*1602 showed a marked heterogeneity. Besides the rare haplotypes which have not yet been reported in any other populations, haplotypes characteristic of different ethnic groups, such as Croatians, South Chinese and Gypsies, were also found in the North Indians, suggesting the extent of racial admixture and migrations to and from India.

Association between autoantibody markers and subtypes of DR4 and DR4-DQ in Swedish children with insulin-dependent diabetes reveals closer association of tyrosine pyrophosphatase autoimmunity with DR4 than DQ8

HLA DQA1*0301-DQB1*0302 (DQ8) and DQA1*0501-DQB1*0201 (DQ2) are positively and DQA1*0102-DQB1*0602 (DQ6) negatively associated with IDDM. In DQA1*0301-DQB1*0302 (DQ8)-positive patients, susceptibility is also mediated by DRB1*0401. The aim of the study was to determine the association between HLA-DR4 and DQ and the presence of GAD65, ICA512, and insulin autoantibodies as well as ICA in 425 Swedish children with IDDM and 367 controls in the age group of 0-15 years. We found that ICA512 autoantibodies were associated primarily with DRB1*0401 and not with DQA1*0301-DQB1*0302 (DQ8). No such hierarchy could be demonstrated for insulin autoantibodies, which were associated with both DQA1*0301-DQB1*0302 (DQ8) and DRB1*0401. GAD65 autoantibodies, known to be closely associated with DQA1*0501-DQB1*0201 (DQ2)-DRB1*0301 haplotype, also showed no preferential association with DQA1*0301-DQB1*0302 (DQ8) versus DRB1*04. These results suggest that the immune response to different beta-cell autoantigens may be mediated via HLA class II molecules from different loci. Design of the antigen-specific immuno-intervention trials should take into account these HLA-DR and DQ subtype associations.

A Peptide Binding Motif for HLA-DQA1*0102/DQB1*0602, the Class II MHC Molecule Associated with Dominant Protection in Insulin-Dependent Diabetes Mellitus

HLA-DQA1*0102/DQB1*0602 (DQ0602) is observed at a decreased frequency in insulin-dependent diabetes mellitus in different ethnic groups, suggesting a protective role for DQ0602. Analysis of overlapping peptides from human insulin found that insulin B(1–15) bound well to DQ0602 and exhibited a high degree of allelic specificity. Truncation analysis of insulin B(1–15) identified insulin B(5–15) as the minimal peptide for DQ0602 binding. Insulin B(5–15) bound to DQ0602 with an apparent KD of 0.7 to 1.0 μM and peptide binding reached equilibrium at 96 h. Single arginine substitutions at each position of the insulin B(5–15) peptide identified amino acids 6, 8, 9, 11, and 14 (relative positions P1, P3, P4, P6, and P9) as important for binding. Extensive substitutions for each of these amino acids revealed that amino acids 11 and 14 (P6 and P9) exhibited the highest specificity. Amino acid 11 (P6) preferred large aliphatic amino acids, while amino acid 14 (P9) preferred smaller aliphatic and hydroxyl amino acids. Binding of an overlapping series of peptides from a randomly chosen protein, the herpes simplex virus-2 tegument protein UL49, correlated completely with the presence or absence of the DQ0602 peptide binding motif. Peptides 11 amino acids long were selected from GAD65, IA-2, and proinsulin, that contained the DQ0602 peptide binding motif. Of these, 79% (19 of 24) were able to bind DQ0602. This study identifies a peptide binding motif for DQ0602 and peptides from insulin-dependent diabetes mellitus autoantigens that bind DQ0602 in vitro.

Analysis of critical residues of HLA-DQ6 molecules in insulin-dependent diabetes mellitus

Among DQ6 molecules, DQA1*0102-DQB1*0602 is negatively associated with insulin-dependent diabetes mellitus (IDDM), but DQA1*0102-DQB1*0604 shows a neutral to positive association in Swedish children with IDDM. The aim of this study was to identify critical DQB1 residues that may account for the differences in IDDM association observed for these two DQ6 molecules. HLA-DQ genotyping in 425 IDDM patients and 367 matched controls showed DQ6 (B1*0602) in 1% of patients and 25% of controls (odds ratio (OR) 0.02). DQ6 (B1*0604) alone was neutral (9% of patients and 10% of controls) but in combination with DQ8, was positively associated (5% of patients, 1% of controls, OR 9.49). In both these DQ6 molecules the alpha-chain is the same but the beta-chain differs at positions 9, 30, 57, 70, 86 and 87. DQB1*0602 has F9, Y30, D57, G70, A86 and F87, whereas DQB1*0604 has Y9, H30, V57, R70, G86 and Y87. Three-dimensional models of the two DQ6 molecules, based on crystal coordinates of the homologous DR1 molecule, suggest that residue 57 beta will likely play a critical role in peptide-binding selectivity, whereas residue 70 beta is probably is major contact site for the T-cell receptor. The effects of these specific polymorphic substitutions in DQ molecules on peptide binding and T-cell receptor recognition may be significant in IDDM susceptibility.

The HLA-DQ(alpha 1*0102, beta 1*0602) heterodimer may confer susceptibility to multiple sclerosis in the absence of the HLA-DR(alpha 1*01, beta 1*1501) heterodimer

The frequencies of DR2, DQ6-related DRB1, DQA1, DQB1 haplotypes were compared in 181 multiple sclerosis patients and 294 controls in Norway. All individuals carried either DR2 or DQ6, i.e., the DQ(alpha 1*0102, beta 1*0602) heterodimer. The DR(alpha 1*01, beta 1*1501) and the DQ(alpha 1*0102, beta 1*0602) heterodimers were carried by 171 of the patients (94%) and 289 (98%) of the controls. Seven of the patients and one of the controls carried the DQ(alpha 1*0102, beta 1*0603) heterodimer together with the DR(alpha 1*01, beta 1*1501) heterodimer. Two patients carried the DQ(alpha 1*0102, beta 1*0602) heterodimer in the absence of the DR( alpha 1*01, beta 1*1501) heterodimer. The DR(alpha 1*01, beta 1*1501) heterodimer was not observed in the absence of the DQ(alpha 1*0102, beta 1*0602) heterodimer or the DQ(alpha 1*0102, beta 1*0603) heterodimer, neither in the patients nor in the controls. Our findings indicate that the genes encoding the DQ(alpha 1*0102, beta 1*0602) heterodimer may confer susceptibility to developing multiple sclerosis in the absence of the DRB1*1501 allele.

A comparison of three statistical models for IDDM associations with HLA

The association between HLA-DQ haplotypes and insulin-dependent diabetes mellitus (IDDM) was studied in 48 children from 44 families ascertained from the high incidence area around Umeå, Sweden. Numerous hypotheses have been proposed to explain associations between HLA and IDDM, but comparisons of statistical models based on these hypotheses have not been attempted. The aim of the present study was to compare the goodness-of-fit and predictive abilities among different statistical models. A likelihood-based analysis rather than a conventional analysis based on contingency tables was therefore adopted. We first used parental haplotype information in a conditional likelihood analysis (1) and then compared this analysis with that of an unaffected control group which used information on geographically matched controls. Under the analysis conditional on parental haplotype, a statistical model motivated by the hypothesis that the entire DQ heterodimer is involved in IDDM pathogenesis fit the data significantly better and had greater predictive ability than either a model motivated by the explanation that an IDDM gene is linked to DQB1 or that the DQB1 chain itself is involved in IDDM pathogenesis, or a model arising from the hypothesis that single amino acids at codon 57 of DQB1 and codon 52 of DQA1, respectively, confer susceptibility. Under the case-control analysis, the identity of the best-fitting or more predictive statistical model was not as clear, although both approaches to analyzing risk suggested that the single-amino-acids model had significantly poorer fit compared to the remaining two models.

DR4 subtypes and their molecular properties in a population-based study of Swedish childhood diabetes

The aim of this study was to determine the association between childhood insulin-dependent diabetes mellitus (IDDM) and HLA-DR4 subtypes and to test in a population-based investigation whether the DR4 association has an effect independent to that of DQ. First, HLA genotyping identified DR4 in 337/425 (79%) patients and 148/367 (40%) controls (Odds Ratio 5.67; p < 0.01). Second, a total of 14 DR4 subtypes were detected by PCR and sequence specific oligo probes. Only two DR4 subtypes, DRB1*0401 (62% patients and 25% controls; OR 4.95, p < 0.01) and *0404 (16% patients and 10% controls; OR 1.67, p < 0.05) were however positively associated with the disease. These two subtypes were positively associated only when linked to DQB1*0302-DQA1*0301 (DQ8) (56% patients and 14% controls; OR 7.69, p < 0.01; 15% patients and 10% controls; OR 1.55, p < 0.05, respectively). When DRB1*0401 was linked to DQB1*0301-DQA1*0301 (DQ7) (6% patients and 11% controls; OR 0.52, p < 0.05), this DR4 subtypes was negatively associated with IDDM. Third, tests of strongest association allowed the following ranking of alleles or haplotypes DQB1*0302-DQA1*0301 (DQ8) > DQB1*0302 > DRB1*0401 > DRB1*0404 and the association of DRB1*0401 has a significant effect in DQ8 positive IDDM patients. We conclude that the DR4 association with IDDM is secondary to DQ by linkage disequilibrium, which support the role of HLA-DQ as a primary genetic risk factor for IDDM.

Population analysis of protection by HLA-DR and DQ genes from insulin-dependent diabetes mellitus in Swedish children with insulin-dependent diabetes and controls

A negative association between insulin-dependent diabetes mellitus (IDDM) and HLA-DR, DQA1 or DQB1 was found in a large population-based investigation of childhood-onset patients (more than 420 patients) and controls (more than 340 controls) from Sweden. The relative risk was decreased for several haplotypes that were negatively associated with IDDM: DR15-DQA1*0102-DQB1*0602, DR7-DQA1*0201-DQB1*0303, DR14-DQA1*0101-DQB1*0503, DR11-DQA1*0501-DQB1*0301, DR13-DQA1*0103-DQB1*0603 and DR4-DQA1*0301-DQB1*0301. In a relative predispositional effect (RPE) analysis, however, only the DR15-DQA1*0102-DQB1*0602 haplotype was significantly decreased, which suggests that the major protective effect for IDDM is carried by this haplotype. This was supported by the observation that all genotypes which were negatively associated with IDDM, except DR7/13, included at least one allele from the DR15-DQA1*0102-DQB1*0602 haplotype. Relative predispositional effect (RPE) analysis of genotypes showed further that the DR15-DQA1*0102-DQB1*0602 haplotype was also negatively associated with IDDM when combined with any other haplotype, whether negatively or positively associated with IDDM. This supports previous suggestions that DR15-DQA1*0102-DQB1*0602 acts dominantly. However, both the stratification and the predispositional allele test failed to distinguish the negative association between IDDM and DR15 from that of DQB1*0602. On the other hand, these tests indicated that DQA1*0102 was not likely to explain the negative association between IDDM and the DR15-DQA1*0102-DQB1*0602 haplotype. We conclude that the major protective effect for IDDM in the population of Swedish children is conferred by the DR15-DQA1*0102-DQB1*0602 haplotype in a dominant fashion, the DQB1*0602 allele being the allele most likely to be responsible for the protective effect of this haplotype, although an effect of the DR15 allele could not be excluded.