Interaction between gene A-positive Helicobacter pylori and human leukocyte antigen II alleles increase the risk of Graves disease in Chinese Han population: An association study

Objective

The current study explored the correlation of Helicobacter pylori and the polymorphisms of human leukocyte antigen II (HLA-II) alleles with Graves disease (GD).

Methods

A total of 216 patients with GD were recruited. 102 healthy volunteers constituted the control group. Levels of H. pylori immunoglobulin G (IgG) antibodies and H. pylori cytotoxin-associated gene A (CagA) IgG antibodies were detected using enzyme-linked immunosorbent assays. Molecular typing of the HLA-II alleles was conducted using polymerase chain reaction with sequence specific primers.

Results

H. pylori, particularly CagA-positive strains, HLA-DQA1*0201, and HLA-DQA1*0501 were associated with GD (P = 0.015, OR = 1.811; P = 0.000, OR = 3.085; P = 0.000, OR = 0.315; and P = 0.004, OR = 2.844, respectively). Patients with CagA-positive H. pylori and negative HLA-DQA1*0201 or positive HLA-DQA1*0501 were more likely exposed to GD compared with those with only one of these indices.

Conclusion

CagA-positive H. pylori, negative HLA-DQA1*0201, or positive HLA-DQA1*0501 may increase the risk of GD.     

Genome-wide association study identified the human leukocyte antigen region as a novel locus for plasma beta-2 microglobulin

Beta-2 microglobulin (B2M) is a component of the major histocompatibility complex (MHC) class I molecule and has been studied as a biomarker of kidney function, cardiovascular diseases and mortality. Little is known about the genes influencing its levels directly or through glomerular filtration rate (GFR). We conducted a genome-wide association study of plasma B2M levels in 6738 European Americans from the Atherosclerosis Risk in Communities study to identify novel loci for B2M and assessed its association with known estimated GFR (eGFR) loci. We identified 2 genome-wide significant loci. One was in the human leukocyte antigen (HLA) region on chromosome 6 (lowest p value = 1.8 × 10^?23 for rs9264638). At this locus, 6 index SNPs accounted for 3.2 % of log(B2M) variance, and their association with B2M could largely be explained by imputed classical alleles of the MHC class I genes: HLA-A, HLA-B, or HLA-C. The index SNPs at this locus were not associated with eGFR based on serum creatinine (eGFRcr). The other locus of B2M was on chromosome 12 (rs3184504 at SH2B3, beta = 0.02, p value = 3.1 × 10^?8), which was previously implicated as an eGFR locus. In conclusion, although B2M is known to be a component of MHC class I molecule, the association between HLA class I alleles and plasma B2M levels in a community-based population is novel. The identification of the two novel loci for B2M extends our understanding of its metabolism and informs its use as a kidney filtration biomarker.     

Recombination in human leukocyte antigen region in two Asian Indian families

BACKGROUND:

Recombination (crossing over) may generate novel haplotypes that can be beneficial to a population against recently introduced pathogens. It may lead to the generation of new alleles.

SETTINGS AND DESIGN:

A prospective study at a tertiary care centre.

AIM:

To report two rare cases of crossing over in HLA region.

MATERIALS AND METHODS:

Tissue-typing was done by sequence specific primers (SSP) for DR locus and by both SSP and serology for Class I which was reconfirmed on fresh samples.

RESULTS:

In one patient crossing over had taken place in the region of A locus resulting in inheritance of A*01 instead of expected A*11. In second family crossing over had taken place in region of DRB1 locus and the sibling inherited DRB1*08 instead of DRB1*10.

CONCLUSIONS:

Possibility of recombination must be considered when interpreting implausible tissue-typing results of families worked up for BMT.     

Dissecting the genetic complexity of the association between human leukocyte antigens and rheumatoid arthritis

Rheumatoid arthritis (RA) is an inflammatory disease with a complex genetic component. An association between RA and the human leukocyte antigen (HLA) complex has long been observed in many different populations, and most studies have focused on a direct role for the HLA-DRB1 "shared epitope" in disease susceptibility. We have performed an extensive haplotype analysis, using 54 markers distributed across the entire HLA complex, in a set of 469 multicase families with RA. The results show that, in addition to associations with the DRB1 alleles, at least two additional genetic effects are present within the major histocompatibility complex. One of these lies within a 497-kb region in the central portion of the HLA complex, an interval that excludes DRB1. This genetic risk factor is present on a segment of a highly conserved ancestral A1-B8-DRB1*03 (8.1) haplotype. Additional risk genes may also be present in the HLA class I region in a subset of DRB1*0404 haplotypes. These data emphasize the importance of defining haplotypes when trying to understand the HLA associations with disease, and they clearly demonstrate that such associations with RA are complex and cannot be completely explained by the DRB1 locus.     

Lack of association between human leukocyte antigen-E alleles and nasopharyngeal carcinoma in Tunisians

Nasopharyngeal carcinoma (NPC), a cancer with a remarkable geographical and worldwide ethnic distribution, has been strongly associated with human leukocyte antigen (HLA) class I genes. The presence of additional HLA risk factors has been suggested by several reports. In the present study, we analyzed the implication of HLA-E gene polymorphisms in NPC susceptibility in Tunisians, a population characterized by an intermediate incidence of NPC with specific clinical features. Peripheral blood DNA was obtained from 185 patients with NPC and 177 matched controls. Genotyping for three single-nucleotide polymorphisms, codon 83Gly/Arg, codon 157Arg/Gly, and codon 107Arg/Gly, was performed using the polymerase chain reaction method. The HLA-E*01:01 and HLA-E*01:03 were the only alleles found among Tunisians. The HLA-E*01:03 allele had a slight increase in patients with NPC (43%) compared with controls (37%), but the difference did not reach a statistical significance. Our results show the lack of association between HLA-E alleles and NPC in the Tunisian population. This is not in agreement with the previous studies, suggesting a potential implication of HLA-E gene polymorphisms in the susceptibility to NPC among populations with high-risk incidence. Our study further supports the dissimilarity of NPC between populations with different NPC incidence.     

Allelic association and disease mapping.

The application of allelic association to map genes for complex traits, particularly using high-density maps of single nucleotide polymorphisms in candidate regions, is an area of very active research. Here we present some aspects of the methodology and applications to both major gene mapping, which illustrates the effectiveness of the method, and oligogenes, where methods are still in flux and for which there have been relatively few successes to date. Several important considerations emerge, including the selection of the optimal metric for measuring association and the importance of modelling the decline in association with distance given the variability in association in a candidate region. The Malecot model of association with distance is shown to have a resolution of greater than 50 kilobases but the available evidence suggests that considerably higher resolution might be achieved with dense single nucleotide polymorphism (SNP) maps.     

Genetic dissection of the human leukocyte antigen region by use of haplotypes of Tasmanians with multiple sclerosis

Association of multiple sclerosis (MS) with the human leukocyte antigen (HLA) class II haplotype DRB1*1501-DQB1*0602 is the most consistently replicated finding of genetic studies of the disease. However, the high level of linkage disequilibrium (LD) in the HLA region has hindered the identification of other loci that single-marker tests for association are unlikely to resolve. In order to address this issue, we generated haplotypes spanning 14.754 Mb (5 cM) across the entire HLA region. The haplotypes, which were inferred by genotyping relatives of 152 patients with MS and 105 unaffected control subjects of Tasmanian ancestry, define a genomic segment from D6S276 to D6S291, including 13 microsatellite markers integrated with allele-typing data for DRB1 and DQB1. Association to the DRB1*1501-DQB1*0602 haplotype was replicated. In addition, we found that the class I/extended class I region, defined by a genomic segment of approximately 400 kb between MOGCA and D6S265, harbors genes that independently increase risk of, or provide protection from, MS. Log-linear modeling analysis of constituent haplotypes that represent genomic regions containing class I (MOGCA-D6S265), class III (TNFa-TNFd-D6S273), and class II (DRB1-DQB1) genes indicated that having class I and class II susceptibility variants on the same haplotype provides an additive effect on risk. Moreover, we found no evidence for a disease locus in the class III region defined by a 150-kb genomic segment containing the TNF locus and 14 other genes. A global overview of LD performed using GOLD identified two discrete blocks of LD in the HLA region that correspond well with previous findings. We propose that the analysis of haplotypes, by use of the types of approaches outlined in the present article, should make it possible to more accurately define the contribution of the HLA to MS.     

Detecting interaction between random region and fixed age effects in disease mapping

The purpose of this article is to draw attention to the possible need for inclusion of interaction effects between regions and age groups in mapping studies. We propose a simple model for including such an interaction in order to develop a test for its significance. The assumption of an absence of such interaction effects is a helpful simplifying one. The measure of relative risk related to a particular region becomes easily and neatly summarized. Indeed, such a test seems warranted because it is anticipated that the simple model, which ignores such interaction, as is in common use, may at times be adequate. The test proposed is a score test and hence only requires fitting the simpler model. We illustrate our approaches using mortality data from British Columbia, Canada, over the 5-year period 1985-1989. For this data, the interaction effect between age groups and regions is quite large and significant.     

A mathematical analysis of human leukocyte antigen serology

This paper presents and explores a comprehensive mathematical model for human leukocyte antigen serology, based on a mathematical formalization of the concept of specificity. This model is general enough to take into account such factors as absorption, elution, cross-reactivity, and incomplete immunization. The paper includes a presentation of the relevant immunological background and a short discussion of the underlying computational difficulty of the basic problems. Upper and lower bounds are derived for the minimal number of specificities required to explain a given set of HLA reactions, and it is shown that the numbers of antibodies and antigens involved must be no less then this minimal number of specificities. Other techniques and theorems are also presented to aid in reducing and analyzing HLA reaction matrices.     

Consensus classification of human leukocyte antigen class II proteins

Class II human leukocyte antigens (HLA II) are proteins involved in the human immunological adaptive response by binding and exposing some pre-processed, non-self peptides in the extracellular domain in order to make them recognizable by the CD4+ T lymphocytes. However, the understanding of HLA–peptide binding interaction is a crucial step for designing a peptide-based vaccine because the high rate of polymorphisms in HLA class II molecules creates a big challenge, even though the HLA II proteins can be grouped into supertypes, where members of different class bind a similar pool of peptides. Hence, first we performed the supertype classification of 27 HLA II proteins using their binding affinities and structural-based linear motifs to create a stable group of supertypes. For this purpose, a well-known clustering method was used, and then, a consensus was built to find the stable groups and to show the functional and structural correlation of HLA II proteins. Thus, the overlap of the binding events was measured, confirming a large promiscuity within the HLA II–peptide interactions. Moreover, a very low rate of locus-specific binding events was observed for the HLA-DP genetic locus, suggesting a different binding selectivity of these proteins with respect to HLA-DR and HLA-DQ proteins. Secondly, a predictor based on a support vector machine (SVM) classifier was designed to recognize HLA II-binding peptides. The efficiency of prediction was estimated using precision, recall (sensitivity), specificity, accuracy, F-measure, and area under the ROC curve values of random subsampled dataset in comparison with other supervised classifiers. Also the leave-one-out cross-validation was performed to establish the efficiency of the predictor. The availability of HLA II–peptide interaction dataset, HLA II-binding motifs, high-quality amino acid indices, peptide dataset for SVM training, and MATLAB code of the predictor is available at http://sysbio.icm.edu.pl/HLA.     

Effective detection of human leukocyte antigen risk alleles in celiac disease using tag single nucleotide polymorphisms

Background

The HLA genes, located in the MHC region on chromosome 6p21.3, play an important role in many autoimmune disorders, such as celiac disease (CD), type 1 diabetes (T1D), rheumatoid arthritis, multiple sclerosis, psoriasis and others. Known HLA variants that confer risk to CD, for example, include DQA1*05/DQB1*02 (DQ2.5) and DQA1*03/DQB1*0302 (DQ8). To diagnose the majority of CD patients and to study disease susceptibility and progression, typing these strongly associated HLA risk factors is of utmost importance. However, current genotyping methods for HLA risk factors involve many reactions, and are complicated and expensive. We sought a simple experimental approach using tagging SNPs that predict the CD-associated HLA risk factors.

Methodology

Our tagging approach exploits linkage disequilibrium between single nucleotide polymorphism (SNPs) and the CD-associated HLA risk factors DQ2.5 and DQ8 that indicate direct risk, and DQA1*0201/DQB1*0202 (DQ2.2) and DQA1*0505/DQB1*0301 (DQ7) that attribute to the risk of DQ2.5 to CD. To evaluate the predictive power of this approach, we performed an empirical comparison of the predicted DQ types, based on these six tag SNPs, with those executed with current validated laboratory typing methods of the HLA-DQA1 and -DQB1 genes in three large cohorts. The results were validated in three European celiac populations.

Conclusion

Using this method, only six SNPs were needed to predict the risk types carried by >95% of CD patients. We determined that for this tagging approach the sensitivity was >0.991, specificity >0.996 and the predictive value >0.948. Our results show that this tag SNP method is very accurate and provides an excellent basis for population screening for CD. This method is broadly applicable in European populations.     

人类白细胞抗原与鼻咽癌的相关性

鼻咽癌是一种多因素影响的复杂性疾病, 其发病具有显著的地理分布差异。Epstein-Barr(EB)病毒感染与鼻咽癌发病密切相关已得到公认, 但环境因素及遗传因素在鼻咽癌的发病中也具有重要作用。在鼻咽癌的遗传相关因素中, 位于6号染色体上具有高度多态性的人类白细胞抗原(Human leukocyte antigen, HLA)与鼻咽癌发病风险相关在多个研究组中被报道。随着DNA测序技术的发展, 高分辨基因分型技术的应用, HLA新等位基因数目呈指数级的上升, 更多的HLA全基因序列被研究者所报道。近年来, 等位基因关联性分析、微卫星连锁不平衡分析及全基因组关联性分析的研究结果均证实了6号染色体HLA区域与鼻咽癌具有显著关联。为了进一步探讨遗传相关性因子HLA在鼻咽癌发生发展中的作用, 文章着重综述了HLA与鼻咽癌相关性研究的最新进展, 为鼻咽癌HLA相关性研究提供新的思路。     

Recombination between DQ alpha and DQ beta genes generates human histocompatibility leukocyte antigen class II haplotype diversity

Two major DR7 haplotypes have been defined on the basis of serologic typing: those that type as DQw2 and others that type as DQw3. In order to define the molecular basis for these serologic differences we have isolated and sequenced DQ alpha, DR beta I, and DQ beta cDNA clones from both representative haplotypes. These studies reveal that although the DQ alpha and DR beta I genes of both haplotypes are identical, the DQ beta genes are very different. These data suggest that the serologic differences of these two DR7 haplotypes are the result of a recombinational event that occurred between the DQ alpha and DQ beta genes. In addition, they emphasize the role of DQ recombination in generating "hybrid" HLA-DQ heterodimers.     

Polymorphism of human HLA-DRB1 leukocyte antigen alleles and its association to juvenile rheumatoid arthritis in a sample of Colombian mestizo children

Oligotypes of the human leukocyte antigen HLA Class II, DRB1 alleles were characterized at the molecular level in a group of Colombian children suffering juvenile rheumatoid arthritis (JRA). The distribution of these alleles was examined in a group of Colombian mestizo children (genetic admixture of Amerindians, Europeans and Africans) suffering from clinically distinct JRA subsets in order to detect HLA allele frequency differences in patients with different JRA subsets. A group of 65 patients with JRA and 65 controls were characterized for the subtypes of the HLA-DRB1 alleles using polymerase chain reaction with sequence-specific oligonucleotide probes (PCR-SSOP). The oligotyping protocol recommended by the 12th International Histocompatibility Workshop held in St. Malo, Paris, in 1996, was used. Subtype HLA-DRB1*1104 was the allele most strongly associated with susceptibility to JRA (Fisher's p = 0.013, odds ratio (OR) = 16.79, etiologic fraction (EF) = 0.93). HLA-DRB1*1602 was also associated with susceptibility to a lesser degree (Fisher's p = 0.016, OR = 8.98, EF = 0.88). HLA-DRB1 alleles participating in JRA protection were HLA-DRB1*1501 (preventive fraction (PF) = 0.466, p = 0.005) and HLA DRB1*1402 (PF = 0.49, p = 0.009). The relationship between some HLA-DRB1 alleles and clinical features was also compared. The presence of rheumatic factor was associated with the alleles HLA-DRB1*0407 (p = 0.05, OR = 11.2, EF = 0.45) and HLA-DRB1*1302 (p = 0.02, OR = 22.8, EF = 0.63). There was also an association between HLA-DRB1*0701 (p = 0.001, OR = 58, EF = 0.73) with expressing ANA +. We found that in the oligoarticular subset, the allele HLA-DRB1*1104 (p = 0.0034, OR = 41.53, EF = 0.97) was the one expressed most commonly. In the poliarticular group, the alleles most frequently expressed were HLA-DRB1*0404 (Fisher's p = 0.012, OR = 8.75, EF = 0.88). In patients with systemic JRA, the HLA-DRB1*1602 allele (p = 0.005, OR = 21.33, EF = 0.95) was most frequent. These results suggested that the MHC genes of mestizo children influence not only the clinical expression of the disease, but also the susceptibility to its development.     

Interaction between human leukocyte elastase and chondroitin sulfate

Chondroitin sulfate (Structum) interacts with human leukocyte elastase, a potent mediator of articular cartilage degradation, producing a partial inhibition of the enzyme activity (60% at saturation). Kinetically, the inhibition mechanism can be classified as simple intersecting, hyperbolic noncompetitive and is almost identical to that found earlier for similar compounds. The best inhibitory activity of chondroitin sulfate was found in fractions having at the same time a high proportion of chondroitin-6-sulfate relative to the corresponding 4-isomer and a high molecular mass. Thus, a fraction with high Mr and containing 92% of isomer 6 inhibited leukocyte elastase with Ki = 1.8 micrograms/ml, whereas a fraction with low Mr and almost equal composition of the 4- and 6-isomer had Ki = 140 micrograms/ml. Ki for unfractionated chondroitin sulfate was 3.4 micrograms/ml. It is suggested, that the modulation of the extracellular activity of cartilage-degrading enzymes by cartilage-derived factors may explain, at least in part, the beneficial effects of some therapeutically used chondroprotective agents.     

The mapping of an antibody-binding region on the Mycobacterium tuberculosis 19 kilodalton antigen.

To localize the epitopes of four independently derived murine mAb IT-10, IT-12, IT-16, and IT-19 on the 19-kDa Ag protein of Mycobacterium tuberculosis, expression plasmids were constructed containing deletions of the gene encoding the 19-kDa protein. Reaction of the 4 mAb with Western blots of the truncated recombinant proteins revealed two epitope specificities in the recognition of the 19-kDa protein. IT-10 was found to be dependent only on the presence of amino acids surrounding the first cysteine residue, whereas IT-12, IT-16, and IT-19 all required the presence of both the first and third cysteine residues. These two cysteine residues are separated by 135 amino acids, and are considered to be brought together by tertiary folding of the protein to form an assembled epitope for IT-12, IT-16, and IT-19. These three mAb demonstrated differing sensitivities to the modification of reduced 19-kDa protein using iodoacetamide: a treatment that should have prevented the reformation of disulfide bonds within the protein. This result suggests that, although IT-12, IT-16, and IT-19 appear to be specific for the same epitope, there are probably fine-specificity differences in this recognition. IT-10 was not sensitive to the absence of disulfide bonds within the 19-kDa protein, suggesting that the epitope is not conformationally sensitive, and is likely to be linear in nature.