Literature DB >> 34095496

Association of HLA-DQA2 and HLA-B With Moyamoya Disease in the Chinese Han Population.

Jiang Wan1, Wei Ling1, Zhang Zhengshan1, Zuo Xianbo1, Duan Lian1, Wang Kai1.   

Abstract

OBJECTIVE: An HLA imputation was conducted to explore the relationship between HLA and patients with moyamoya disease (MMD) in the Chinese Han population.
METHODS: In this study, we performed an association analysis of the major histocompatibility complex region in 2,786 individuals of Chinese Han ancestry (2,031 controls and 755 patients with MMD), through a widely used HLA imputation method.
RESULTS: We identified that the variant rs3129731 (odds ratio [OR] = 1.79, p = 3.69 × 10-16) located between the MTCO3P1 and HLA-DQA2 is a major genetic risk factor for MMD. In addition to this variant, found in the conditional association analysis, we also detected another independent signal, rs1071817 (OR = 0.62, p = 1.20 × 10-11), in HLA-B.
CONCLUSIONS: Our research suggests that the genetic polymorphism of HLA-DQA2 and HLA-B could be a genetic predisposing factor for MMD in Chinese Han. This may provide some evidence for further HLA-related studies of patients with MMD of Chinese Han ethnicity and indicates that MMD is an immune-related disease.
Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.

Entities:  

Year:  2021        PMID: 34095496      PMCID: PMC8176556          DOI: 10.1212/NXG.0000000000000592

Source DB:  PubMed          Journal:  Neurol Genet        ISSN: 2376-7839


Moyamoya disease (MMD) is a chronic, progressive, occlusive cerebrovascular disease of unknown etiology. Its distinctive pathologic feature is the steno-occlusion of the distal internal carotid artery or its proximal branches, with the formation of fragile, small, net-like collaterals.[1,2] It is initially described in Japan as “moya-moya” for its angiographic characteristics of “a puff of smoke.”[3] Epidemiologic studies have found that the incidence of MMD is highest in East Asian countries.[1,2] The common clinical presentations of MMD include TIA, ischemic stroke, hemorrhagic stroke, seizures, headache, and cognitive impairment. It is a common cause of stroke in children or young adults.[4] A study has shown that MMD may be caused by genetic factors, rather than environmental factors,[5] and genetic studies have shown that MMD-related genetic loci exist on chromosomes 3, 6, 8, and 17.[6-11] Our previous genome-wide association study (GWAS) also confirms the association of MMD with chromosomes 3 and 17.[12] In addition, we also find enrichment of susceptibility gene expression associated with the immune system.[12] The major histocompatibility complex (MHC) encodes several key immune response genes and is also known as the HLA region in humans. It is located on chromosome 6p21 and includes a series of closely linked loci.[13] The MHC gene can be divided into 3 regions, which are named MHC Class I, MHC Class II, and MHC Class III. The most important molecules of the classical human MHC Class I antigens are HLA-A, HLA-B, and HLA-C, whereas MHC Class II antigen-related molecules are HLA-DR, HLA-DQ, and HLA-DP.[14,15] The MHC Class III region is located between the Class I and II regions and contains 55 protein coding genes and 5 pseudogenes.[16] Many MHC gene products are involved in inflammatory responses, as part of the adaptive immune response, and interact with natural killer cell and cytokines as part of the innate immune response. They include ligands for antigen processing and expression, receptors, interacting proteins, signal transduction factors, and transcriptional regulatory factors.[16] As HLA plays an important role in the immune system, it has received a lot of attention. However, studies have found that it also has important roles in other disease systems. The alleles that encode the HLA molecules have frequently been reported to be strongly associated with various diseases, such as ankylosing spondylitis, reactive arthritis,[14] Takayasu arteritis,[17] giant cell arteritis,[18] granulomatosis with polyangiitis,[19] and various other autoimmune disorders.[14] Therefore, the identification of an association between HLA and disease susceptibility has become important to diagnose and understand the pathogenesis of the diseases. Although some reports have suggested possible linkage with MMD on chromosomes 3p24.2-p26 and 17q25,[6-9] a marker located on chromosome 6 is also indicated to be in linkage with MMD.[7] Previous studies reported that some HLA alleles were associated with MMD[20-22]; however, these investigations are limited, and study cohorts are small, particularly in the Chinese Han population. We investigated the distributions of HLA genes in Chinese Han patients with MMD to identify HLA markers that may contribute to genetic susceptibility.

Methods

MMD GWAS Data

The study data were obtained from our previous MMD GWAS for 755 cases and 2031 controls that were genotyped by HumanOmniZhongHua-8 BeadChip, which was previously described in our early studies.[12] All of the cases fulfilled the diagnosis guideline established by the Research Committee on Spontaneous Occlusion of the Circle of Willis (MMD) of the Ministry of Health and Welfare of Japan.[1,23,24] All the cases were diagnosed by digital subtraction angiography or MR angiography, with stenosis of the bilateral internal carotid artery system. According to the guideline, moyamoya syndrome and patients with vasculopathy caused by atherosclerosis, irradiation, meningitis, brain neoplasm, head trauma, Recklinghausen disease, Down syndrome, and autoimmune disease to the head were excluded. The health control groups were recruited such that they matched cases in terms of age, sex, and geographical distribution (birthplace), and controls with a medical history of any cerebrovascular diseases or myocardial infarction were excluded. All the study subjects and single nucleotide polymorphisms (SNPs) were extracted via a standard quality control criteria, exclusion of closely related relative and outliers in terms of ancestry, SNP, and sample call rate (<90%), SNP minor allele frequency (MAF) (<1%), and Hardy-Weinberg equilibrium (p ≤ 10−4) cutoffs. The study subjects were homogeneous and it showed no evidence of systemic bias or potential population substructure which after the principal component analysis runs to exclude the occurrence of the above.

Standard Protocol Approvals, Registrations, and Patient Consents

Written informed consent was obtained from all participants. The study was approved by the Ethics Committee of Anhui Medical University and implemented according to the Declaration of Helsinki.

Imputation of the HLA Region

We extracted SNP genotypes located in the MHC region (29–34 Mb at chromosome 6) and then imputed 2- and 4-digit classical alleles for HLA-A (MIM 142800), HLA-B (MIM 142830), HLA-C (MIM 142840), HLA-DRB1 (MIM 142857), HLA-DQB1 (MIM 604305), HLA-DQA1 (MIM 146880), HLA-DPB1 (MIM 142858), and HLA-DPA1 (MIM 142880), their corresponding amino acid polymorphisms, and SNPs, on the basis of 2 reference panels: the HLA and SNP genotypes from the 1000 Genomes Project reference data (only the Chinese Han population)[25] and the Han-MHC database (n = 10,689).[26] For the postimputed data, the variants, with low imputation quality (r2 < 0.10), or MAF below 0.01 or significant deviation from HardyWeinberg equilibrium (p < 1.00 × 10−4, software PLINK version 1.07) had been removed. All information about the SNPs, amino acid residues, and 2-digit and 4-digit HLA alleles were encoded as binary variables and phased by the Beagle 3.0.4 imputation program powered by the SNP2HLA method with some modifications.

Association Analysis

After imputation, we did an association analysis and set a genome-wide significance threshold (p = 5.0 × 10−8) to find sites with significant association. We determined the top independent associations using a stepwise logistic regression model to explore MMD independent loci, controlling for the most significant sites of p value as covariates in raw date of imputation; then, the results were analyzed, and the p value was found to be significant. The most significant loci was then used as the new control signal and it was taken as the most significant point of the p value as a new signal after control. Then, we selected the most significant point after control as covariates to control, and so on, until no site reaches the significant level (p < 5.0 × 10−8).

Construction of Protein Spatial Structure

We queried the target amino acid sequence on GenBank (ncbi.nlm.nih.gov) and used protein homology modeling with the SWISS-MODEL online website (swissmodel.expasy.org). The image was prepared using VMD 1.9.3.

Data Availability

Anonymized data will be shared by request from any qualified investigator.

Results

HLA Imputation Result

From our previous MMD GWAS data, we chose 8,245 SNPs in 755 MMD cases and 2031 controls using an optimized target capture array. After quality control, we finally obtained 6,789 SNPs. Then, using the imputation method, we successfully inferred the 2-digit and 4-digit genotypes of 8 HLA genes, their corresponding amino acid polymorphisms, and the SNPs in the MHC region of the 2,786 subjects. We obtained 29,948 variants. After strict quality control of all variants obtained from imputation, we finally obtained 25,729 variants to further assess their association with the risk of MMD (table e-1, links.lww.com/NXG/A422).

rs3129731 Has the Strongest Association With MMD Risk

As shown in figure 1, the top association signal was given by rs3129731 (odds ratio [OR] = 1.79, p = 3.69 × 10−16; table 1), an intergenic SNP located between the MTC O 3P1 and HLA-DQA2, when the variants in the MHC region were tested for overall risk of MMD (patients vs control individuals). We also found an HLA allele in HLA-B (HLA-B*46, OR = 0.49, p = 4.12 × 10−11; table 1).
Figure 1

Stepwise Conditional Association Plots of the Variants for Moyamoya Disease in the HLA Region

The association of each locus used for conditioning (rs3129731 and rs1071817) is shown in the green dot in each panel. In each plot, the horizontal axis shows the chromosomal position (based on University of California Santa Cruz hg19 assembly) and the vertical axis shows −log10 (p value) for association with MMD in the logistic regression model. The horizontal dashed line corresponds to the meaning threshold p = 5 × 10−8.

Table 1

Association of HLA Alleles, Amino Acid Polymorphisms, and Single Nucleotide Polymorphisms With Moyamoya Disease Susceptibility

Stepwise Conditional Association Plots of the Variants for Moyamoya Disease in the HLA Region

The association of each locus used for conditioning (rs3129731 and rs1071817) is shown in the green dot in each panel. In each plot, the horizontal axis shows the chromosomal position (based on University of California Santa Cruz hg19 assembly) and the vertical axis shows −log10 (p value) for association with MMD in the logistic regression model. The horizontal dashed line corresponds to the meaning threshold p = 5 × 10−8. Association of HLA Alleles, Amino Acid Polymorphisms, and Single Nucleotide Polymorphisms With Moyamoya Disease Susceptibility

HLA-B Associations With MMD in the Chinese Han Population

We then investigated additional HLA variants that were associated with the risk of MMD but were independent of rs3129731. When conditioning on rs3129731, we observed a significant independent SNP at HLA-B amino acid position 94 (rs1071817, OR = 0.62, p = 1.20 × 10−11) and a most significant amino acid polymorphism (HLA-B amino acid 24, OR = 1.58, p = 3.48 × 10−14). We then conditioned on rs3129731 and rs1071817 but observed no other significant associations (p < 5.0 × 10−8) (table e-2, links.lww.com/NXG/A423). These results indicate that MMD, associated with the MHC region, can be explained by combinations of multiple HLA-B genes.

The 3D Ribbon Model of the HLA Protein

The HLA-B structure was based on Protein Data Bank entry 6at5.[27] The HLA-B amino acid 94 residue is located in a α-helix structure, within a peptide-binding groove, and the HLA-B amino acid 24 residue is located in a β-strand structure at the beginning of the protein peptide chain (figure 2).
Figure 2

Three-Dimensional Ribbon Models for HLA-B

HLA-B amino acid residues 94 and 24 are highlighted in purple and red, respectively (for interpretation of the references to colors in this figure legend, the reader is suggested to refer to the web version of this article).

Three-Dimensional Ribbon Models for HLA-B

HLA-B amino acid residues 94 and 24 are highlighted in purple and red, respectively (for interpretation of the references to colors in this figure legend, the reader is suggested to refer to the web version of this article). The flowchart of the research process can be found in the appendix (figure e-1, links.lww.com/NXG/A421).

Discussion

We have applied an HLA imputation approach to our previous MMD GWAS data, which was of a well-characterized cohort of 755 Chinese Han patients with MMD and 2031 healthy controls. After correlation analysis, we identified the common variant rs3129731, within the HLA locus, as a main genetic risk factor for acquiring MMD. We also found another independent signal, rs1071817 in HLA-B, by condition analysis. SNP rs3129731 is located in the intergenic region between the MTCO3P1 and HLA-DQA2. MTCO3P1 (mitochondrially encoded cytochrome C oxidase III pseudogene 1) is a pseudogene and was affiliated with the lncRNA class. HLA-DQA2 belongs to the HLA Class II alpha chain family. This variant showed a strong association with the expression of HLA-DQA2 in the artery (gtexportal.org/home/). HLA-DQA2 is believed to play a central role in peptide loading of MHC-II molecules. Class II molecules are expressed in antigen-presenting cells (APCs) (B lymphocytes, dendritic cells, and macrophages) and are used to present antigenic peptides to the cell surface, to be recognized by CD4+ T cells. Dimer formation with HLA-DQB2 and HLA-DQA2 plays an importance role in immunology.[28] Studies have found that HLA-DQA2 is associated with some autoimmune diseases, such as systemic lupus erythematosus[29] and rheumatoid arthritis.[30] In addition, there is an enrichment of amino acid mutations and alleles in the HLA-DRB region. The most significant mutation is at HLA-DRB1 amino acid position 9, which is located on the N-terminal signal peptide. HLA-DRB1 can bind peptides that are derived from antigens, which access the endocytic route of APCs. The peptides are presented on the cell surface for recognition by CD4+ T cells. Studies have found that some CD4+ T cells are unique because they are strongly cytotoxic and have the ability to directly kill cells infected with virus. This HLA Class II molecule is known to be involved, which provides insights into how specific CD4+ T cells may participate in vascular immunopathology.[31] In Japanese patients, a significant association of HLA-DR1 with MMD is reported (p < 0.05).[32] It is also reported that HLA-DRB1*1501 and HLA-DQB1*0502 are associated with MMD.[22,33] In Korean patients, HLA-DRB1*1302 and HLA-DQB1*0609 showed an association in familial patients (Unpublished data).[14] We also found some significant association in both HLA-DQB and HLA-DRB, and we observed that amino acid mutations and allele frequencies were enriched in the HLA-DRB1 gene region. These results suggest that although there are differences between HLA and MMD in Japanese, Korean, and Han patients, there are some similarities. We also found another significant variant, rs1071817, when comparing patients with controls. This variant maps to the HLA-B gene and encodes amino acid 94 of HLA-B. We found 1 nonsense variant, with a gain of stop signal, and 2 missense variants at this site. Amino acid 94 of HLA-B is located in the alpha 1 chain of the MHC-I molecule and is located outside the cell membrane. This chain may be responsible for binding to peptides. In addition to amino acid 94 of HLA-B, we found other amino acid polymorphisms in HLA-B such as amino acid 24 of HLA-B, which is located in a β-strand structure (table e-3, links.lww.com/NXG/A424). Those variations may lead to changes in the function of the alpha 1 chain of the MHC-I molecule by affecting the normal synthesis. Associations of HLA-B46 and B54 (p < 0.05 or <0.025) with the risk of MMD in Japanese patients with MMD were reported in the early 1980s.[20] A significant association with HLA-B67 was found in an investigation of 32 unrelated Japanese patients with MMD.[21] It revealed the association of HLA-B35 with females in the late-onset group of individuals with MMD in the Korean population.[32] In our study, we observed that amino acid mutations and allele frequencies were significantly enriched in the HLA-B gene region, and we also found some of the HLA alleles described above. However, only HLA-B46 showed a significant difference between case and control (p = 4.12 × 10−11). Several studies showed that HLA-B46 may also be associated with Graves disease.[34,35] By applying autoimmunity and inflammation classification gene chips, a study found differential expression in 32 genes in the peripheral blood of patients with MMD, compared with healthy controls. After searching the gene pool, 23 of the genes were related to cellular immunity and 9 were related to humoral immunity.[36] In our study, significant association was found between HLA Class I and II genes and the risk of MMD. Both these genes are important components of humoral immunity and cellular immunity, which suggests that both types of immunity are involved in MMD. Another epidemiologic study found that 8.5% of patients with MMD had type I diabetes, which is significantly higher than in the average US population (8.5% vs 0.4%, p < 0.001).[37,38] The prevalence of autoimmune thyroid disease (Graves disease and thyroiditis) in the moyamoya cohort was 17%, which is also significantly higher than that of the general population in the United States (17% vs 8.0%, p < 0.01).[38] Previous reports suggest that viral and bacterial infection may be involved in the pathogenesis of MMD[39,40] and the autoimmune antibody is recognized more frequently in patients with MMD.[41,42] Through the imputation approach, our data also indicate that MMD may be an immune-related disease and comorbid with autoimmune diseases. Although this study provides interesting insights about HLA variants of MMD, it still has some limitations. First, the imputation will be some deviations; to reduce deviations, we referenced the most comprehensive panel of Chinese population at present[26] and carried strict quality controls. Second, because of extensive linkage disequilibrium, high polymorphism, and strong genetic heterogeneity in the MHC region,[43,44] the genetic variation that we could capture was limited, and we excluded the rare variations with an MAF of less than 1% in the MHC region. Therefore, we may show association only between part of the MHC region and MMD. Further functional studies are required to reveal the exact role of the identified variants. We have shown by imputation that the genetic predisposition to MMD in Chinese Han is associated with HLA. The variants rs3129731 and rs1071817 were significantly associated with the disease in this population. Our findings suggest that the genetic polymorphisms of HLA-DQA2 and HLA-B could be genetic predisposing factors for MMD in Chinese Han. This may provide some evidence for further HLA-related studies of patients with MMD with Chinese Han ethnicity and further suggests that MMD is an immune-related disease.
  42 in total

1.  HLA-DQA1, DQB1 and DRB1 alleles associated with Takayasu arteritis in the Chinese Han population.

Authors:  Naqiang Lv; Zhiguang Wang; Aimin Dang; Xilin Zhu; Ying Liu; Deyu Zheng; Guozhang Liu
Journal:  Hum Immunol       Date:  2015-01-27       Impact factor: 2.850

2.  Diabetes mellitus and the Moyamoya syndrome.

Authors:  Regina S Bower; Grant W Mallory; Macaulay Nwojo; Fredric B Meyer; Yogish C Kudva
Journal:  Ann Intern Med       Date:  2012-09-04       Impact factor: 25.391

3.  Studies on cytomegalovirus and Epstein-Barr virus infection in moyamoya disease.

Authors:  T Tanigawara; H Yamada; N Sakai; T Andoh; K Deguchi; M Iwamura
Journal:  Clin Neurol Neurosurg       Date:  1997-10       Impact factor: 1.876

4.  A novel susceptibility locus for moyamoya disease on chromosome 8q23.

Authors:  Kaoru Sakurai; Yasue Horiuchi; Hidetoshi Ikeda; Kiyonobu Ikezaki; Takashi Yoshimoto; Masashi Fukui; Tadao Arinami
Journal:  J Hum Genet       Date:  2004       Impact factor: 3.172

5.  A large-scale genetic analysis reveals a strong contribution of the HLA class II region to giant cell arteritis susceptibility.

Authors:  F David Carmona; Sarah L Mackie; Jose-Ezequiel Martín; John C Taylor; Augusto Vaglio; Stephen Eyre; Lara Bossini-Castillo; Santos Castañeda; Maria C Cid; José Hernández-Rodríguez; Sergio Prieto-González; Roser Solans; Marc Ramentol-Sintas; M Francisca González-Escribano; Lourdes Ortiz-Fernández; Inmaculada C Morado; Javier Narváez; José A Miranda-Filloy; Lorenzo Beretta; Claudio Lunardi; Marco A Cimmino; Davide Gianfreda; Daniele Santilli; Giuseppe A Ramirez; Alessandra Soriano; Francesco Muratore; Giulia Pazzola; Olga Addimanda; Cisca Wijmenga; Torsten Witte; Jan H Schirmer; Frank Moosig; Verena Schönau; Andre Franke; Øyvind Palm; Øyvind Molberg; Andreas P Diamantopoulos; Simon Carette; David Cuthbertson; Lindsy J Forbess; Gary S Hoffman; Nader A Khalidi; Curry L Koening; Carol A Langford; Carol A McAlear; Larry Moreland; Paul A Monach; Christian Pagnoux; Philip Seo; Robert Spiera; Antoine G Sreih; Kenneth J Warrington; Steven R Ytterberg; Peter K Gregersen; Colin T Pease; Andrew Gough; Michael Green; Lesley Hordon; Stephen Jarrett; Richard Watts; Sarah Levy; Yusuf Patel; Sanjeet Kamath; Bhaskar Dasgupta; Jane Worthington; Bobby P C Koeleman; Paul I W de Bakker; Jennifer H Barrett; Carlo Salvarani; Peter A Merkel; Miguel A González-Gay; Ann W Morgan; Javier Martín
Journal:  Am J Hum Genet       Date:  2015-03-26       Impact factor: 11.025

6.  Immune response profiling identifies autoantibodies specific to Moyamoya patients.

Authors:  Tara K Sigdel; Lorelei D Shoemaker; Rong Chen; Li Li; Atul J Butte; Minnie M Sarwal; Gary K Steinberg
Journal:  Orphanet J Rare Dis       Date:  2013-03-21       Impact factor: 4.123

7.  Associations of Moyamoya patients with HLA class I and class II alleles in the Korean population.

Authors:  Hoon Han; Chul-Woo Pyo; Do-Sung Yoo; Pil-Woo Huh; Kyung-Souk Cho; Dal-Soo Kim
Journal:  J Korean Med Sci       Date:  2003-12       Impact factor: 2.153

Review 8.  Moyamoya Disease: Epidemiology, Clinical Features, and Diagnosis.

Authors:  Jong S Kim
Journal:  J Stroke       Date:  2016-01-29       Impact factor: 6.967

9.  Cytomegalovirus Infection Leads to Development of High Frequencies of Cytotoxic Virus-Specific CD4+ T Cells Targeted to Vascular Endothelium.

Authors:  Annette Pachnio; Miriam Ciaurriz; Jusnara Begum; Neeraj Lal; Jianmin Zuo; Andrew Beggs; Paul Moss
Journal:  PLoS Pathog       Date:  2016-09-08       Impact factor: 6.823

10.  A high-resolution HLA and SNP haplotype map for disease association studies in the extended human MHC.

Authors:  Paul I W de Bakker; Gil McVean; Pardis C Sabeti; Marcos M Miretti; Todd Green; Jonathan Marchini; Xiayi Ke; Alienke J Monsuur; Pamela Whittaker; Marcos Delgado; Jonathan Morrison; Angela Richardson; Emily C Walsh; Xiaojiang Gao; Luana Galver; John Hart; David A Hafler; Margaret Pericak-Vance; John A Todd; Mark J Daly; John Trowsdale; Cisca Wijmenga; Tim J Vyse; Stephan Beck; Sarah Shaw Murray; Mary Carrington; Simon Gregory; Panos Deloukas; John D Rioux
Journal:  Nat Genet       Date:  2006-09-24       Impact factor: 38.330

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