Vitamin D receptor-targeted treatment to prevent pathological dedifferentiation of pancreatic ß cells under hyperglycaemic stress.

Dedifferentiation has been identified as one of the causes of ß-cell failure resulting in type 2 diabetes (T2D). This study tested whether increasing vitamin D receptor (VDR) expression prevents dedifferentiation of ß cells in a high-glucose state in vitro. Culturing a mouse insulinoma cell line (MIN6) in a high-glucose environment decreased VDR expression. However, increased VDR following vitamin D3 (VD3) treatment improved insulin release of early-passage MIN6 and insulin index of db/- (heterozygous) islets to levels seen in normal functional islets. Treatment with VD3, its analogues and derivatives also increased the expression of essential transcription factors, such as Pdx1, MafA and VDR itself, ultimately increasing expression of Ins1 and Ins2, which might protect ß cells against dedifferentiation. VD3 agonist lithocholic acid (LCA) propionate was the most potent candidate molecule for protecting against dedifferentiation, and an e-pharmacophore mapping model confirmed that LCA propionate exhibits a stabilizing conformation within the VDR binding site. This study concluded that treating db/+ islets with a VD3 analogue and/or derivatives can increase VDR activity, preventing the pathological dedifferentiation of ß cells and the onset of T2D.

A common variant association study in ethnic Saudi Arabs reveals novel susceptibility loci for hypertriglyceridemia.

Hypertriglyceridemia (hTG) is a lipid disorder, resulting from an elevation in triglyceride levels, with a strong genetic component. It constitutes a significant risk factor for coronary artery disease (CAD), a leading cause of death worldwide. In this study, we performed a common variant association study for hTG in ethnic Saudi Arabs. We genotyped 5501 individuals in a two-phase experiment using Affymetrix Axiom® Genome-Wide CEU 1 Array (Affymetrix, Santa Cruz, CA) that contains a total of 587,352 single nucleotide polymorphisms (SNPs). The lead variant was the rs1558861 [1.99 (1.73-2.30); p = 7.37 × 10-22 ], residing on chromosome (chr) 11 at the apolipoprotein A-I/A-5 (APOA1/APOA5) locus. The rs780094 [1.34 (1.21-1.49); p = 8.57 × 10-8 ] on chr 2 at the glucokinase regulatory protein (GCKR) locus was similarly significantly associated, while the rs10911205 [1.29 (1.16-1.44); p = 3.52 × 10-6 ] on chr1 at the laminin subunit gamma-1 (LAMC1) locus showed suggestive association with disease. Furthermore, the rs17145738 [0.68 (0.60-0.77); p = 6.69 × 10-9 ] on chr7 at the carbohydrate-responsive element-binding protein-encoding (MLXIPL) gene locus displayed significant protective characteristics, while another variant rs6982502 [0.76 (0.68-0.84); p = 5.31 × 10-7 ] on chr8 showed similar but weaker properties. These findings were replicated in 317 cases vs 1415 controls from the same ethnic Arab population. Our study identified several variants across the human genome that are associated with hTG in ethnic Arabs.

Incomplete Re-Expression of Neuroendocrine Progenitor/Stem Cell Markers is a Key Feature of ß-Cell Dedifferentiation.

There is increasing evidence to suggest that type 2 diabetes mellitus (T2D), a pandemic metabolic disease, may be caused by ß-cell dedifferentiation (ßCD). However, there is currently no universal definition of ßCD, and the underlying mechanism is poorly understood. We hypothesise that a high-glucose in vitro environment mimics hyperglycaemia in vivo and that ß cells grown in this milieu over a long period will undergo dedifferentiation. In the present study, we report that the pancreatic ß cell line mouse insulinoma 6 (MIN6) grown under a high-glucose condition did not undergo massive cell death but exhibited a glucose-stimulated insulin-secreting profile similar to that of immature ß cells. The expression of insulin and the glucose-sensing molecule glucose transporter 2 (Glut2) in late passage MIN6 cells was significantly lower than the early passage at both the RNA and protein levels. Mechanistically, these cells also expressed significantly less of the 'pancreatic and duodenal homebox1' (Pdx1) ß-cell transcription factor. Finally, passaged MIN6 cells dedifferentiated to demonstrate some features of ß-cell precursors, as well as neuroendocrine markers, in addition to expressing both glucagon and insulin. Thus, we concluded that high-glucose passaged MIN6 cells passaged MIN6 cells. provide a cellular model of ß-cell dedifferentiation that can help researchers develop a better understanding of this process. These findings provide new insights that may enhance knowledge of the pathophysiology of T2D and facilitate the establishment of a novel strategy by which this disease can be treated.

A common variant association study reveals novel susceptibility loci for low HDL-cholesterol levels in ethnic Arabs.

The genetic susceptibility to acquiring low high density lipoprotein-cholesterol (LHDLC) levels is not completely elucidated yet. In this study, we performed a common variant association study for harboring this trait in ethnic Arabs. We employed the Affymetrix high-density Axiom Genome-Wide ASI Array (Asian population) providing a coverage of 598,000 single nucleotide variations (SNPs) to genotype 5495 individuals in a two-phase study involving discovery and validation sets of experiments. The rs1800775 [1.31 (1.22-1.42); p = 3.41E-12] in the CETP gene and rs359027 [1.26 (1.16-1.36); p = 2.55E-08] in the LMCD1 gene were significantly associated with LHDLC levels. Furthermore, rs3104435 [1.26 (1.15-1.38); p = 1.19E-06] at the MATN1 locus, rs9835344 [1.16 (1.08-1.26); p = 8.75E-06] in the CNTN6 gene, rs1559997 [1.3 (1.14-1.47); p = 9.48E-06] in the SDS gene and rs1670273 [1.2 (1.1-1.31); p = 4.81E-06] in the DMN/SYNM gene exhibited suggestive association with the disorder. Seven other variants including rs1147169 in the PLCL1 gene, rs10248618 in the DNAH11, rs476155 in the GLIS3, rs7024300 in the ABCA1, intergenic rs10836699, rs11603691 in P2RX3 and rs750134 in CORO1C gene exhibited borderline protective properties. Validation and joint meta-analysis resulted in rs1800775, rs3104435 and rs359027 retaining their predisposing properties, while rs10836699 and rs11603691 showed protective properties. Our data show several predisposing variants across the genome for LHDLC levels in ethnic Arabs.

Melanoma susceptibility as a complex trait: genetic variation controls all stages of tumor progression.

Susceptibility to most common cancers is likely to involve interaction between multiple low risk genetic variants. Although there has been great progress in identifying such variants, their effect on phenotype and the mechanisms by which they contribute to disease remain largely unknown. We have developed a mouse melanoma model harboring two mutant oncogenes implicated in human melanoma, CDK4(R24C) and NRAS(Q61K). In these mice, tumors arise from benign precursor lesions that are a recognized strong risk factor for this neoplasm in humans. To define molecular events involved in the pathway to melanoma, we have for the first time applied the Collaborative Cross (CC) to cancer research. The CC is a powerful resource designed to expedite discovery of genes for complex traits. We characterized melanoma genesis in more than 50 CC strains and observed tremendous variation in all traits, including nevus and melanoma age of onset and multiplicity, anatomical site predilection, time for conversion of nevi to melanoma and metastases. Intriguingly, neonatal ultraviolet radiation exposure exacerbated nevus and melanoma formation in most, but not all CC strain backgrounds, suggesting that genetic variation within the CC will help explain individual sensitivity to sun exposure, the major environmental skin carcinogen. As genetic variation brings about dramatic phenotypic diversity in a single mouse model, melanoma-related endophenotype comparisons provide us with information about mechanisms of carcinogenesis, such as whether melanoma incidence is dependent upon the density of pre-existing nevus cells. Mouse models have been used to examine the functional role of gene mutations in tumorigenesis. This work represents their next phase of development to study how biological variation greatly influences lesion onset and aggressiveness even in the setting of known somatic driver mutations.

Maturity-onset diabetes of the young type 5 in a family with diabetes and mild kidney disease diagnosed by whole exome sequencing.

Exome sequencing is being increasingly used to identify disease-associated gene mutations. We used whole exome sequencing to determine the genetic basis of a syndrome of diabetes and renal disease affecting a mother and her son. We identified a mutation in the hepatocyte nuclear factor 1-b (HNF1B) gene that encoded a methionine to valine amino acid change (M160V) in the HNF1B protein. This leads us to the previously unappreciated diagnosis of maturity-onset diabetes of the young type 5 and provided a basis for genetic counselling of other family members.

A novel mechanism regulating insulin secretion involving Herpud1 in mice.

AIMS/HYPOTHESIS: Type 2 diabetes results from beta cell dysfunction after prolonged physiological stress, which causes oversecretion of insulin. We recently found that insulin hypersecretion is mediated by at least two genes. Among mouse models of type 2 diabetes, the DBA/2 mouse strain is more susceptible to diabetes than is the C57BL/6J (B6J) strain. One distinctive feature of the DBA/2 mouse is that it hypersecretes insulin, independent of changes in insulin sensitivity; we identified Nnt as a gene responsible for this trait. METHODS: To identify the other gene(s) affecting insulin hypersecretion, we tested a panel of recombinant inbred BXD strains, which have different combinations of B6 and DBA/2 alleles. RESULTS: We found that 25% of the BXD strains hypersecreted insulin in response to glucose. Microarray profiling of islets from high- and low-secretor strains showed that at least four genes were differentially expressed. One gene was consistently underexpressed in islets from both DBA/2 and the high-secretor BXD strains. This gene (Herpud1 or Herp) encodes the 54 kDa endoplasmic reticulum stress-inducible protein (HERP) that resides in the integral endoplasmic reticulum membrane. To test directly whether Herpud1 can interact with Nnt, Herpud1 was either knocked down or overexpressed in MIN6 cells. These results showed that when Herpud1 was suppressed, Nnt expression was reduced, while overexpression of Herpud1 led to increased Nnt expression. Furthermore, Herpud1 suppression resulted in significantly decreased glucose-stimulated insulin secretion in the DBA/2 islets but not B6J islets. CONCLUSIONS/INTERPRETATION: We conclude that Herpud1 regulates insulin secretion via control of Nnt expression.

Confirmation of novel type 1 diabetes risk loci in families.

AIMS/HYPOTHESIS: Over 50 regions of the genome have been associated with type 1 diabetes risk, mainly using large case/control collections. In a recent genome-wide association (GWA) study, 18 novel susceptibility loci were identified and replicated, including replication evidence from 2,319 families. Here, we, the Type 1 Diabetes Genetics Consortium (T1DGC), aimed to exclude the possibility that any of the 18 loci were false-positives due to population stratification by significantly increasing the statistical power of our family study. METHODS: We genotyped the most disease-predicting single-nucleotide polymorphisms at the 18 susceptibility loci in 3,108 families and used existing genotype data for 2,319 families from the original study, providing 7,013 parent-child trios for analysis. We tested for association using the transmission disequilibrium test. RESULTS: Seventeen of the 18 susceptibility loci reached nominal levels of significance (p < 0.05) in the expanded family collection, with 14q24.1 just falling short (p = 0.055). When we allowed for multiple testing, ten of the 17 nominally significant loci reached the required level of significance (p < 2.8 × 10(-3)). All susceptibility loci had consistent direction of effects with the original study. CONCLUSIONS/INTERPRETATION: The results for the novel GWA study-identified loci are genuine and not due to population stratification. The next step, namely correlation of the most disease-associated genotypes with phenotypes, such as RNA and protein expression analyses for the candidate genes within or near each of the susceptibility regions, can now proceed.

Overview of the Type I Diabetes Genetics Consortium.

The Type I Diabetes Genetics Consortium (T1DGC) is an international, multicenter research program with two primary goals. The first goal is to identify genomic regions and candidate genes whose variants modify an individual's risk of type I diabetes (T1D) and help explain the clustering of the disease in families. The second goal is to make research data available to the research community and to establish resources that can be used by, and that are fully accessible to, the research community. To facilitate the access to these resources, the T1DGC has developed a Consortium Agreement (http://www.t1dgc.org) that specifies the rights and responsibilities of investigators who participate in Consortium activities. The T1DGC has assembled a resource of affected sib-pair families, parent-child trios, and case-control collections with banks of DNA, serum, plasma, and EBV-transformed cell lines. In addition, both candidate gene and genome-wide (linkage and association) studies have been performed and displayed in T1DBase (http://www.t1dbase.org) for all researchers to use in their own investigations. In this supplement, a subset of the T1DGC collection has been used to investigate earlier published candidate genes for T1D, to confirm the results from a genome-wide association scan for T1D, and to determine associations with candidate genes for other autoimmune diseases or with type II diabetes that may be involved with beta-cell function.

Current status and the future for the genetics of type I diabetes.

The Type I Diabetes Genetics Consortium (T1DGC) is an international collaboration whose primary goal is to identify genes whose variants modify an individual's risk of type I diabetes (T1D). An integral part of the T1DGC's mission is the establishment of clinical and data resources that can be used by, and that are fully accessible to, the T1D research community (http://www.t1dgc.org). The T1DGC has organized the collection and analyses of study samples and conducted several major research projects focused on T1D gene discovery: a genome-wide linkage scan, an intensive evaluation of the human major histocompatibility complex, a detailed examination of published candidate genes, and a genome-wide association scan. These studies have provided important information to the scientific community regarding the function of specific genes or chromosomal regions on T1D risk. The results are continually being updated and displayed (http://www.t1dbase.org). The T1DGC welcomes all investigators interested in using these data for scientific endeavors on T1D. The T1DGC resources provide a framework for future research projects, including examination of structural variation, re-sequencing of candidate regions in a search for T1D-associated genes and causal variants, correlation of T1D risk genotypes with biomarkers obtained from T1DGC serum and plasma samples, and in-depth bioinformatics analyses.

rs2476601 T allele (R620W) defines high-risk PTPN22 type I diabetes-associated haplotypes with preliminary evidence for an additional protective haplotype.

Protein tyrosine phosphatase non-receptor type 22 (PTPN22) is the third major locus affecting risk of type I diabetes (T1D), after HLA-DR/DQ and INS. The most associated single-nucleotide polymorphism (SNP), rs2476601, has a C->T variant and results in an arginine (R) to tryptophan (W) amino acid change at position 620. To assess whether this, or other specific variants, are responsible for T1D risk, the Type I Diabetes Genetics Consortium analyzed 28 PTPN22 SNPs in 2295 affected sib-pair (ASP) families. Transmission Disequilibrium Test analyses of haplotypes revealed that all three haplotypes with a T allele at rs2476601 were overtransmitted to affected children, and two of these three haplotypes showed statistically significant overtransmission (P=0.003 to P=5.9E-12). Another haplotype had decreased transmission to affected children (P=3.5E-05). All haplotypes containing the rs2476601 T allele were identical for all SNPs across PTPN22 and only varied at centromeric SNPs. When considering rs2476601 'C' founder chromosomes, a second haplotype (AGGGGC) centromeric of PTPN22 in the C1orf178 region was associated with protection from T1D (odds ratio=0.81, P=0.0005). This novel finding requires replication in independent populations. We conclude the major association of PTPN22 with T1D is likely due to the recognized non-synonymous SNP rs2476601 (R620W).

Association analysis of SNPs in the IL4R locus with type I diabetes.

The Type I Diabetes Genetics Consortium (T1DGC) has collected thousands of multiplex and simplex families with type I diabetes (T1D) with the goal of identifying genes involved in T1D susceptibility. These families have all been genotyped for the HLA class I and class II loci and a subset of samples has been typed for an major histocompatibility complex (MHC) single-nucleotide polymorphism (SNP) panel. In addition, the T1DGC has genotyped SNPs in candidate genes to evaluate earlier reported T1D associations. Individual SNPs and SNP haplotypes in IL4R, which encodes the alpha-chain of the IL4 and IL13 receptors, have been associated with T1D in some reports, but not in others. In this study, 38 SNPs in IL4R were genotyped using the Sequenom iPLEX Gold MassARRAY technology in 2042 multiplex families from nine cohorts. Association analyses (transmission-disequilibrium test and parental-disequilibrium test) were performed on individual SNPs and on three-SNP haplotypes. Analyses were also stratified on the high-risk HLA DR3/DR4-DQB1*0302 genotype. A modest T1D association in HBDI families (n=282) was confirmed in this larger collection of HBDI families (n=424). The variant alleles at the non-synonymous SNPs (rs1805011 (E400A), rs1805012 (C431R), and rs1801275 (Q576R)), which are in strong linkage disequilibrium, were negatively associated with T1D risk. These SNPs were more associated with T1D among non-DR3/DR4-DQB1*0302 genotypes than DR3/DR4-DQB1*0302 genotypes. This association was stronger, both in terms of odds ratio and P-values, than the initial report of the smaller collection of HBDI families. However, the IL4R SNPs and the three-SNP haplotype containing the variant alleles were not associated with T1D in the total data. Thus, in the overall families, these results do not show evidence for an association of SNPs in IL4R with T1D.

No association of the IRS1 and PAX4 genes with type I diabetes.

To reassess earlier suggested type I diabetes (T1D) associations of the insulin receptor substrate 1 (IRS1) and the paired domain 4 gene (PAX4) genes, the Type I Diabetes Genetics Consortium (T1DGC) evaluated single-nucleotide polymorphisms (SNPs) covering the two genomic regions. Sixteen SNPs were evaluated for IRS1 and 10 for PAX4. Both genes are biological candidate genes for T1D. Genotyping was performed in 2300 T1D families on both Illumina and Sequenom genotyping platforms. Data quality and concordance between the platforms were assessed for each SNP. Transmission disequilibrium testing neither show T1D association of SNPs in the two genes, nor did haplotype analysis. In conclusion, the earlier suggested associations of IRS1 and PAX4 to T1D were not supported, suggesting that they may have been false positive results. This highlights the importance of thorough quality control, selection of tagging SNPs, more than one genotyping platform in high throughput studies, and sufficient power to draw solid conclusions in genetic studies of human complex diseases.

Association analyses of the vitamin D receptor gene in 1654 families with type I diabetes.

Type I diabetes (T1D) results from interactions between environmental exposures and genetic susceptibility leading to immune dysfunction and destruction of the insulin-producing beta cells of the pancreas. Vitamin D deficiency is likely to be one of the many environmental factors influencing T1D development and diagnosis, and, hence, the hormone receptor gene, VDR, was examined for association with T1D risk. The Type I Diabetes Genetics Consortium genotyped 38 single nucleotide polymorphisms (SNPs) in 1654 T1D nuclear families (6707 individuals, 3399 affected). Genotypes for 38 SNPs were assigned using the Illumina (ILMN) and Sequenom (SQN) technology. The analysis of data release as of July 2008 is reported for both platforms. No evidence of association of VDR SNPs with T1D at P<0.01 was obtained in the overall sample set, nor in subgroups analyses of the parent-of-origin, sex of offspring and HLA risk once adjusted for multiple testing.

Evaluation of IL12B as a candidate type I diabetes susceptibility gene using data from the Type I Diabetes Genetics Consortium.

As part of its efforts to identify genes affecting the risk of type I diabetes (T1D), the Type I Diabetes Genetics Consortium commissioned an extensive survey of variants associated with genes reported earlier to have an association with disease susceptibility. In this report, we present the analysis of a set of single-nucleotide polymorphisms (SNPs) within and flanking the IL12B gene, which encodes the p40 subunit of the cytokines interleukin (IL)-12 and IL-23. No SNP showed individually significant association in the population as a whole. Nevertheless, subjects stratified according to genotype at the earlier reported SNP in the IL12B 3'UTR, rs3212227, confirmed small, but significant, differences in age of disease onset with a relative hazard=0.88 (P=0.005). The protective effect of rs3212227 allele 2 was gender specific (P=0.004 overall and P=0.0003 when unaffected siblings were considered). Among females, the 2.2 genotype was more protective, with relative hazard=0.75. We conclude that while there was no major effect of IL12B polymorphisms on T1D susceptibility in the entire study group, they have an impact on a subset of at-risk individuals.

The Type I Diabetes Genetics Consortium 'Rapid Response' family-based candidate gene study: strategy, genes selection, and main outcome.

Candidate gene studies have long been the principal method for identification of susceptibility genes for type I diabetes (T1D), resulting in the discovery of HLA, INS, PTPN22, CTLA4, and IL2RA. However, many of the initial studies that relied on this strategy were largely underpowered, because of the limitations in genomic information and genotyping technology, as well as the limited size of available cohorts. The Type I Diabetes Genetic Consortium (T1DGC) has established resources to re-evaluate earlier reported genes associated with T1D, using its collection of 2298 Caucasian affected sib-pair families (with 11 159 individuals). A total of 382 single-nucleotide polymorphisms (SNPs) located in 21 T1D candidate genes were selected for this study and genotyped in duplicate on two platforms, Illumina and Sequenom. The genes were chosen based on published literature as having been either 'confirmed' (replicated) or not (candidates). This study showed several important features of genetic association studies. First, it showed the major impact of small rates of genotyping errors on association statistics. Second, it confirmed associations at INS, PTPN22, IL2RA, IFIH1 (earlier confirmed genes), and CTLA4 (earlier confirmed, with distinct SNPs) loci. Third, it did not find evidence for an association with T1D at SUMO4, despite confirmed association in Asian populations, suggesting the potential for population-specific gene effects. Fourth, at PTPN22, there was evidence for a novel contribution to T1D risk, independent of the replicated effect of the R620W variant. Fifth, among the candidate genes selected for replication, the association of TCF7-P19T with T1D was newly replicated in this study. In summary, this study was able to replicate some genetic effects, reject others, and provide suggestions of association with several of the other candidate genes in stratified analyses (age at onset, HLA status, population of origin). These results have generated additional interesting functional hypotheses that will require further replication in independent cohorts.

Effect of linkage status of affected sib-pairs on the search for novel type 1 diabetes susceptibility genes in the HLA complex.

AIM: Type 1 diabetes susceptibility is influenced by a number of genes, of which those with the strongest effects map to the human leucocyte antigen (HLA) complex. Evidence for linkage of non-HLA genes in several affected sib-pair analyses was increased if the HLA or gender status of the sibs was considered independently. We investigated whether linkage status at the HLA complex differentially affected transmission of alleles to sibs depending on their HLA or gender linkage status. METHODS: Genotypes of 2437 markers typed on 11 279 individuals from 2363 families, stratified according to HLA and gender, were examined using the transmission disequilibrium test. RESULTS: Several significant single nucleotide polymorphisms (SNPs) loci were found near the class II genes; no significant SNPs were found by these analyses near the class I or class II genes. Other significant effects were found when the gender of the sibs or the parents was considered. There was not a significant difference in HLA-DRB genotypes between the stratified sets. CONCLUSIONS: These results suggest the presence of novel recessive susceptibility gene(s) within the HLA complex.

Association of MHC SNP genotype with susceptibility to type 1 diabetes: a modified survival approach.

AIM: The Major Histocompatibility Complex (MHC) is a highly polymorphic region on chromosome 6 encompassing the human leucocyte antigen (HLA)-DQ/DR loci most predictive of susceptibility to type 1 diabetes (T1D). To assess the contribution of other MHC genes, in this exploratory analysis of Type 1 Diabetes Genetics Consortium (T1DGC) family data we characterize association between susceptibility and MHC single nucleotide polymorphism (SNP) genotype, with an emphasis on effects of genetic variation additional to carriage of predisposing or protective MHC haplotypes. METHODS: We use Cox regression analyses of age of onset, stratified by family, to jointly test both linkage and association. Analysis is restricted to children from families having both affected and unaffected siblings and is conducted with and without adjustment for known HLA class I and II effects. Model fits provide scores for each individual that are based on estimates of the probability of being affected by the age of 35, given the individual's SNP genotype. The mean within-family variation in these scores provides a measure that closely reflects the relative size of the likelihood ratio test statistics, and their covariation provides a means of mapping patterns of association that incorporate both effect size and commonality of effect that is attributable to the strong linkage disequilibrium (LD) extending across the region. RESULTS: Univariate analyses yielded strong associations with T1D susceptibility that are dominated by SNPs in the class II HLA-DR/DQ region but extend across the MHC. Similar effects are frequently observed across SNPs within multiple genes, sometimes spanning hundreds of kilobases. SNPs within a region at the telomeric end of the class II gene HLA-DRA yielded significant associations with and without adjustment for carriage of the predictive DR3, DR4, DR2 and DR7 HLA haplotypes, and remained highly prominent in a secondary analysis that was restricted to 66 families in whom at least one of the affected siblings carried neither the DR3 nor DR4 haplotype. CONCLUSIONS: While many of the associations can be attributed to LD between the SNPs and the dominant HLA-DRB/DQA/DQB loci, there is also evidence of additional modifying effects.

Missingness in the T1DGC MHC fine-mapping SNP data: association with HLA genotype and potential influence on genetic association studies.

AIM: The absence or 'missingness' of single nucleotide polymorphism (SNP) assay values because of genotype or related factors of interest may bias association and other studies. Missingness was determined for the Type 1 Diabetes Genetics Consortium (T1DGC) Major Histocompatibility Complex (MHC) data and was found to vary across the region, ranging up to 11.1% of the non-null proband SNPs, with a median of 0.3%. We consider factors related to missingness in the T1DGC data and briefly assess its possible influence on association studies. METHODS: We assessed associations of missingness in the SNP assay data with human leucocyte antigen (HLA) genotype of the individual and with SNP genotypes of the parents. Within-cohort analyses were combined (over all cohorts) using (i) Mantel-Haenszel tests for two-by-two tables or (ii) by combining test statistics for larger tables and regression models. Mixed effect regression models were used to assess association of the SNP genotypes with affected status of the offspring after adjustment for parental SNP genotypes, cohort membership and HLA genotypes. Log-linear models were used to assess association of missingness in the unaffected sib assays with SNP genotypes of the probands. RESULTS: Missingness of SNP values near the HLA class I (A, B and C) and class II (DR, DQ and DP) loci is strongly associated with carriage of corresponding HLA genotypes within these groups. Similar associations pertain to missing values among the microsatellite data. In at least some of these cases, regions of missingness coincided with known deletion regions corresponding to the associated HLA haplotype. We conjecture that other regions of associated missingness may point to similar haplotypic deletions. Analysis of association patterns of SNP genotypes with affected status of offspring does not indicate strong informative missingness. However, association of missingness in proband data with parental SNP genotypes may impact transmission disequilibrium test (TDT)-type analyses. Comparisons of affected and unaffected siblings point to possible susceptibility regions additional to the classical HLA-DR3/4 alleles near BAT4-LY6G5B-BAT5 and NOTCH4. CONCLUSIONS: Potentially informative missingness in SNP assay values in the MHC region may impact on association and related analyses based on the T1DGC data. These results suggest that it would be prudent to assess the degree to which missingness may abrogate assessed SNP disease markers in such studies. Initial analyses based on comparison of affected and unaffected status in offspring suggest that at least these may be little affected.