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Mack SJ, Single RM, Solberg OD, Thomson G, Erlich HA. Population genetic dissection of HLA-DPB1 amino acid polymorphism to infer selection. Hum Immunol 2024; 85:111151. [PMID: 39413638 PMCID: PMC11827675 DOI: 10.1016/j.humimm.2024.111151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Revised: 09/02/2024] [Accepted: 10/01/2024] [Indexed: 10/18/2024]
Abstract
Although allele frequency data for most HLA loci provide strong evidence for balancing selection at the allele level, the DPB1 locus is a notable exception, with allele frequencies compatible with neutral evolution (genetic drift) or directional selection in most populations. This discrepancy is especially interesting as evidence for balancing selection has been seen at the nucleotide and amino acid (AA) sequence levels for DPB1. We describe methods used to examine the global distribution of DPB1 alleles and their constituent AA sequences. These methods allow investigation of the influence of natural selection in shaping DPβ diversity in a hierarchical fashion for DPB1 alleles, all polymorphic DPB1 exon 2-encoded AA positions, as well as all pairs and trios of these AA positions. In addition, we describe how asymmetric linkage disequilibrium for all DPB1 exon 2-encoded AA pairs can be used to complement other methods. Application of these methods provides strong evidence for the operation of balancing selection on AA positions 56, 85-87, 36, 55 and 84 (listed in decreasing order of the strength of selection), but no evidence for balancing selection on DPB1 alleles.
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Affiliation(s)
- Steven J Mack
- Department of Pediatrics, University of California, San Francisco, Oakland, CA, United States.
| | - Richard M Single
- Department of Mathematics and Statistics, University of Vermont, Burlington, VT, United States
| | - Owen D Solberg
- Bioinformatics and Biostatistics, Monogram Biosciences, South San Francisco, CA, United States
| | - Glenys Thomson
- Department of Integrative Biology, University of California, Berkeley, CA, United States
| | - Henry A Erlich
- Center for Genetics, Children's Hospital & Research Center Oakland, Oakland, CA, United States
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Single RM, Mack SJ, Solberg OD, Thomson G, Erlich HA. Natural Selection on HLA-DPB1 Amino Acids Operates Primarily on DP Serologic Categories. Hum Immunol 2024; 85:111153. [PMID: 39461275 DOI: 10.1016/j.humimm.2024.111153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/29/2024]
Abstract
The DPB1 locus is notable among the classical HLA loci in that allele frequencies at this locus are consistent with genetic drift, whereas the frequencies of specific DPβ amino acids are consistent with the action of balancing selection. We investigated the influence of natural selection in shaping the diversity of three functional categories of DPB1 diversity defined by specific amino acid motifs, DPB1 T-cell epitopes, DPB1 supertypes and DP1-DP4 serologic categories (SCs), via Ewens-Watterson (EW) selective neutrality and asymmetric Linkage Disequilibrium (ALD) analyses in a worldwide sample of 136 populations. These EW analyses provide strong evidence for the operation of balancing selection on DP SCs, but no evidence for balancing selection on T-cell epitopes or supertypes. We further investigated the global distribution of SCs. Each SC is common in a different region of the world, with the DP1 SC most common in Southeast Asia and Oceania, the DP2 SC in North and South America, the DP3 SC in South America, and the DP4 SC in Europe. The DP2 SC is present in all populations, while 14% of populations are missing at least one DP1, DP3, or DP4 SC. We observed consistent DPA1∼DP SC haplotype associations across 10 populations from five global regions, and found that asymmetric linkage disequilibrium (LD) between the DPB1 locus and the four most-common DPA1 alleles (DPA1*01:03, *02:01, *02:02 and *03:01) is determined by variation at DPβ AA positions 85-87. These positions are in LD with both DPα positions 31 and 50. We conclude from these EW analyses that natural selection is primarily operating to maintain population-level diversity of DP SCs, rather than DPB1 alleles or other functional categories of DPB1 diversity.
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Affiliation(s)
- Richard M Single
- Department of Mathematics and Statistics, University of Vermont, Burlington, VT, United States
| | - Steven J Mack
- Department of Pediatrics, University of California, San Francisco, Oakland, CA, United States.
| | - Owen D Solberg
- Bioinformatics and Biostatistics, Monogram Biosciences, South San Francisco, CA, United States
| | - Glenys Thomson
- Department of Integrative Biology, University of California, Berkeley, CA, United States
| | - Henry A Erlich
- Center for Genetics, Children's Hospital & Research Center Oakland, Oakland, CA, United States
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Arrieta-Bolaños E. From clones to immunopeptidomes: New developments in the characterization of permissive HLA-DP mismatches in hematopoietic cell transplantation. Best Pract Res Clin Haematol 2024; 37:101575. [PMID: 39396259 DOI: 10.1016/j.beha.2024.101575] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Revised: 08/02/2024] [Accepted: 08/26/2024] [Indexed: 10/15/2024]
Abstract
Mismatching at the HLA-DPB1 locus occurs frequently in hematopoietic cell transplantation with unrelated donors. Despite this, HLA-DPB1 allelic mismatches have traditionally not been considered in patient-donor matching. A T-cell epitope (TCE) model for the functional assessment of permissive mismatches at this locus has nevertheless been adopted in clinical practice. While initially based on a hierarchical immunogenicity elucidated from allorecognition by T-cell clones isolated from a patient, newer developments in the understanding of this model's biological basis, including a central role for immunopeptidome divergence between mismatched allotypes, have prompted changes in the assignment of permissiveness, providing the opportunity for a more granular evaluation of graft-versus-host disease and relapse risks according to the nature and directionality of permissive mismatches. How these advances impact the assessment of permissiveness at HLA-DPB1 and potentially the intelligent selection of donors according to the main clinical goal for different patients is the subject of the present review.
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Nilsson JB, Kaabinejadian S, Yari H, Kester MG, van Balen P, Hildebrand WH, Nielsen M. Accurate prediction of HLA class II antigen presentation across all loci using tailored data acquisition and refined machine learning. SCIENCE ADVANCES 2023; 9:eadj6367. [PMID: 38000035 PMCID: PMC10672173 DOI: 10.1126/sciadv.adj6367] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 10/25/2023] [Indexed: 11/26/2023]
Abstract
Accurate prediction of antigen presentation by human leukocyte antigen (HLA) class II molecules is crucial for rational development of immunotherapies and vaccines targeting CD4+ T cell activation. So far, most prediction methods for HLA class II antigen presentation have focused on HLA-DR because of limited availability of immunopeptidomics data for HLA-DQ and HLA-DP while not taking into account alternative peptide binding modes. We present an update to the NetMHCIIpan prediction method, which closes the performance gap between all three HLA class II loci. We accomplish this by first integrating large immunopeptidomics datasets describing the HLA class II specificity space across all loci using a refined machine learning framework that accommodates inverted peptide binders. Next, we apply targeted immunopeptidomics assays to generate data that covers additional HLA-DP specificities. The final method, NetMHCIIpan-4.3, achieves high accuracy and molecular coverage across all HLA class II allotypes.
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Affiliation(s)
- Jonas B. Nilsson
- Department of Health Technology, Technical University of Denmark, DK-2800 Lyngby, Denmark
| | - Saghar Kaabinejadian
- Pure MHC LLC, Oklahoma City, OK, USA
- Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Hooman Yari
- Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Michel G. D. Kester
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
| | - Peter van Balen
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
| | - William H. Hildebrand
- Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Morten Nielsen
- Department of Health Technology, Technical University of Denmark, DK-2800 Lyngby, Denmark
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HBV genotype-dependent association of HLA variants with the serodecline of HBsAg in chronic hepatitis B patients. Sci Rep 2023; 13:359. [PMID: 36611047 PMCID: PMC9825396 DOI: 10.1038/s41598-023-27570-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 01/04/2023] [Indexed: 01/09/2023] Open
Abstract
Seroclearance of hepatitis B surface antigen (HBsAg) is regarded as the functional cure for chronic hepatitis B (CHB). The relationship between human leukocyte antigen (HLA) variants, hepatitis B virus genotype, and longitudinal HBsAg serodecline remains to be explored. A total of 1735 HBeAg-seronegative CHB patients with genotype B or C infection of the community-based REVEAL-HBV cohort were genotyped for rs1710 (HLA-G) and rs2770 (HLA-B) using TaqMan assay. Cox proportional hazard regression and generalized linear mixed models were used to analyze the association of HLA genetic variants with the rate of HBsAg seroclearance and longitudinal HBsAg serodecline. Rs1710 G allele was differentially associated with the HBsAg seroclearance in genotype B [aRR (95% CI) = 0.74 (0.56-0.98)] and genotype C [aRR (95%CI) = 1.43 (1.08-1.88)] infection. Rs2770 G allele was associated with HBsAg seroclearance only in genotype B infection [aRR (95% CI) = 0.69 (0.52-0.91)]. The alleles associated with HBsAg seroclearance were significant predictors for the serodecline of HBsAg levels in an HBV genotype-dependent manner (genotype B infection: rs1710, P = 0.013; rs2770, P = 0.0081; genotype C infection: rs1710, P = 0.0452). Our results suggest both spontaneous HBsAg seroclearance and serodecline are modified by the interaction between HLA variants and HBV genotype.
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Mohammadi H, Alavian SM, Sharafi H. Association of single nucleotide polymorphisms in immune-related genes with spontaneous HBsAg seroconversion: A systematic review and meta-analysis. Int Immunopharmacol 2022; 110:108982. [PMID: 35752129 DOI: 10.1016/j.intimp.2022.108982] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 05/28/2022] [Accepted: 06/15/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Studies have reported that the immune system modulation genes are involved in the seroconversion during hepatitis B virus (HBV) infection. Here, a systematic review with meta-analysis is implemented on the association of polymorphisms in immune-related genes with the spontaneous hepatitis B surface antigen (HBsAg) seroconversion. METHODS A systematic literature search was conducted in the main electronic databases of Scopus, PubMed, and Web of Science before May 2022. Pooled odds ratio (OR) and their corresponding 95% confidence interval (CI) were used to evaluate the strength of the association between genetic polymorphisms and the chance of spontaneous HBsAg seroconversion. RESULTS A total of 40 studies finally included for meta-analysis of 2 HLA-DP SNPs, 2 HLA-DQ SNPs, 3 IFNL3/4 SNPs, 2 IL10 SNPs, and 5 TNF SNPs. Based on the overall pooled analysis, HLA-DP rs3077 A (OR = 1.47, 95%CI: 1.32-1.65), HLA-DP rs9277535 A (OR = 1.48, 95%CI: 1.32-1.66), HLA-DQ rs2856718 G (OR = 1.37, 95%CI: 1.18-1.59), HLA-DQ rs7453920 A (OR = 1.41, 95%CI: 1.04-1.93), IFNL3/4 rs12980275 G (OR = 1.26, 95%CI: 1.01-1.58), TNFA rs1799964 T (OR = 1.17, 95%CI: 1.02-1.35), and TNFA rs1800630 C (OR = 1.26, 95%CI: 1.03-1.55) increased significantly the chance of spontaneous HBsAg seroconversion. CONCLUSION This meta-analysis showed that the HLA-DP gene rs3077 and rs9277535 SNPs, HLA-DQ gene rs2856718 and rs7453920 SNPs, IFNL3/4 gene rs12980275 SNP, TNFA gene rs1799964 and rs1800630 SNPs are involved in the spontaneous HBsAg seroconversion.
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Affiliation(s)
- Hamed Mohammadi
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran; Department of Immunology, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran
| | - Seyed Moayed Alavian
- Middle East Liver Diseases (MELD) Center, Tehran, Iran; Baqiyatallah Research Center for Gastroenterology and Liver Diseases (BRCGL), Baqiyatallah University of Medical Sciences, Tehran, Iran
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Arrieta-Bolaños E, Crivello P, He M, Wang T, Gadalla SM, Paczesny S, Marsh SGE, Lee SJ, Spellman SR, Bolon YT, Fleischhauer K. A core group of structurally similar HLA-DPB1 alleles drives permissiveness after hematopoietic cell transplantation. Blood 2022; 140:659-663. [PMID: 35609150 PMCID: PMC9373015 DOI: 10.1182/blood.2022015708] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 05/12/2022] [Indexed: 11/20/2022] Open
Affiliation(s)
- Esteban Arrieta-Bolaños
- Institute for Experimental Cellular Therapy, University Hospital Essen, Essen, Germany
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, Essen, Germany
| | - Pietro Crivello
- Institute for Experimental Cellular Therapy, University Hospital Essen, Essen, Germany
| | - Meilun He
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, MN
| | - Tao Wang
- Division of Biostatistics, Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, WI
- CIBMTR (Center for International Blood and Marrow Transplant Research), Department of Medicine, Medical College of Wisconsin, Milwaukee, WI
| | - Shahinaz M Gadalla
- Division of Cancer Epidemiology & Genetics, National Institutes of Health-National Cancer Institute Clinical Genetics Branch, Rockville, MD
| | - Sophie Paczesny
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC
| | - Steven G E Marsh
- Anthony Nolan Research Institute, London, United Kingdom
- UCL Cancer Institute, Royal Free Campus, London, United Kingdom
| | - Stephanie J Lee
- CIBMTR (Center for International Blood and Marrow Transplant Research), Medical College of Wisconsin, Milwaukee, WI; and
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Stephen R Spellman
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, MN
| | - Yung-Tsi Bolon
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, MN
| | - Katharina Fleischhauer
- Institute for Experimental Cellular Therapy, University Hospital Essen, Essen, Germany
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, Essen, Germany
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Spencer Mangum D, Caywood E. A clinician’s guide to HLA matching in allogeneic hematopoietic stem cell transplant. Hum Immunol 2022; 83:687-694. [DOI: 10.1016/j.humimm.2022.03.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 02/14/2022] [Accepted: 03/02/2022] [Indexed: 12/26/2022]
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Li F, Huang C, Qiu L, Li P, Shi J, Zhang G. Comprehensive Analysis of Immune-Related Metabolic Genes in Lung Adenocarcinoma. Front Endocrinol (Lausanne) 2022; 13:894754. [PMID: 35898471 PMCID: PMC9309246 DOI: 10.3389/fendo.2022.894754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Accepted: 06/06/2022] [Indexed: 11/13/2022] Open
Abstract
PURPOSE The immunotherapy of lung adenocarcinoma (LUAD) has received much attention in recent years and metabolic reprogramming is linked to immune infiltration in the tumor microenvironment. Therefore, it is indispensable to dissect the role of immune-related metabolic genes in lung adenocarcinoma. METHODS In this study, we screened immune-related genes by Pearson correlation. The function of these genes was explored by gene ontology (GO) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis. The differently expressed immune-related genes were analyzed by Limma. Furthermore, the LUAD patients were clustered based on immune-related genes through consensus clustering. The Unicox was used to identify survival-immune-related metabolic genes. The Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was used to optimize the gene sets. A prediction model was constructed and tested. The potential therapeutic target was selected based on two criteria, these immune-related metabolic genes that were highly expressed in tumor tissues and negatively correlated with the survival of patients in LUAD. Quantitative real-time PCR (qRT-PCR) was used for in vitro experimental validations. RESULTS We identified 346 immune-related genes, mainly involved in arachidonic acid metabolism and peroxisome proliferator-activated receptor (PPAR) signaling. Moreover, a total of 141 immune-related genes were dysregulated between tumor and normal tissues. We clustered three subtypes of LUAD based on immune-related metabolic genes and these subtypes exhibited different survival and immune status. We found Ribonucleotide Reductase Regulatory Subunit M2 (RRM2) as a potential therapeutic target, which is positively correlated with the cyclin-dependent kinase family of genes. CONCLUSION We comprehensively analyzed the immune-related metabolic genes in LUAD. RRM2 was determined as a promising metabolic checkpoint for lung adenocarcinoma.
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Kawasaki A, Tsuchiya N. Advances in the genomics of ANCA-associated vasculitis-a view from East Asia. Genes Immun 2021; 22:1-11. [PMID: 33686257 DOI: 10.1038/s41435-021-00123-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 02/10/2021] [Accepted: 02/15/2021] [Indexed: 02/01/2023]
Abstract
Recent genome-wide association studies (GWAS) in populations of European ancestry have identified several susceptibility genes to anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV). The most significant association was observed in HLA-DP variants in granulomatosis with polyangiitis and proteinase 3 (PR3)-ANCA positive vasculitis, while HLA-DQ variants were strongly associated with microscopic polyangiitis (MPA) and myeloperoxidase (MPO)-ANCA positive vasculitis (MPO-AAV). In non-HLA genes, SERPINA1, PRTN3 and PTPN22 were identified as susceptibility genes to AAV. The observations in GWAS suggested the presence of shared and non-shared susceptibility genes among AAV subsets. Epidemiological features of AAV are strikingly different in the East Asian populations; the proportions of MPO-AAV among total AAV, MPO-ANCA positive patients among GPA, and patients with interstitial lung disease among total AAV are considerably higher in Japan as compared with Europe. Such population differences suggest the critical role for genetic background behind these conditions. Although no GWAS has been reported in the Asian populations so far, the association of HLA-class II alleles with MPA and MPO-AAV was identified. Future genomics studies on AAV, especially from Asian populations, will provide valuable information to elucidate the molecular mechanisms and to identify molecular targets for AAV.
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Affiliation(s)
- Aya Kawasaki
- Molecular and Genetic Epidemiology Laboratory, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Naoyuki Tsuchiya
- Molecular and Genetic Epidemiology Laboratory, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
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A shared motif of hla-dpb1 affecting the susceptibility to pr3-anca positive granulomatosis with polyangiitis: comparative analysis of a Turkish cohort with matched healthy controls. Rheumatol Int 2021; 41:1667-1672. [PMID: 33544216 DOI: 10.1007/s00296-021-04789-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 01/12/2021] [Indexed: 10/22/2022]
Abstract
We aimed to analyse the distribution of HLA Class 2 genotypes which were reported among the genetic risk factors for ANCA-associated vasculitis (AAV) among Turkish patients in comparison with healthy subjects and previously reported data of AAV cohorts. Ninety-eight patients (F/M: 47/51 and mean age: 49 ± 1.14) were enrolled in the study and records of gender and birthplace-matched 196 healthy kidney donors were used as the control group. Patients were classified according to the clinical subgroups and ANCA serotypes (MPO-AAV, PR3-AAV). DNA was isolated from venous blood from all patients, and high-resolution HLA Class 2 genotyping was carried out by using NGS-Omixon Holotype HLA Kit. The frequencies of HLA-DQB1*03:03, - *06:04, and -DPB1*13:01, -*16:01 and -*66:01:00 alleles were significantly higher, and the frequencies of HLA-DQB1*02:02, -DPB1*02:01 and -*04:01 alleles were lower in the PR3-AAV subgroup (n = 53) compared to the controls. Comparison of amino acid sequences of the associated HLA-DPB1 alleles revealed the sequence of D-E-A-V in risk alleles replaced with the G-G-P-M sequence in protective alleles between 84 and 87th positions. Structural analysis of the HLA-DPB1*02:01 showed that this shared position is in the contact area between HLA-DP α and β chains and within pocket 1 of the antigen-binding groove. First HLA genotyping analysis in Turkish AAV patients revealed a negative correlation between PR3-ANCA positivity and certain HLA-DPB1 alleles contradictory to the results reported from European cohorts. Known functional effects of D-E-A-V sequence on HLA-DPB1 support the importance of our finding, but further studies are needed to reveal its pathogenic mechanisms.
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HLA-DPA1 gene is a potential predictor with prognostic values in multiple myeloma. BMC Cancer 2020; 20:915. [PMID: 32972413 PMCID: PMC7513295 DOI: 10.1186/s12885-020-07393-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 09/09/2020] [Indexed: 02/08/2023] Open
Abstract
Background Multiple myeloma (MM) is an incurable hematological tumor, which is closely related to hypoxic bone marrow microenvironment. However, the underlying mechanisms are still far from fully understood. We took integrated bioinformatics analysis with expression profile GSE110113 downloaded from National Center for Biotechnology Information-Gene Expression Omnibus (NCBI-GEO) database, and screened out major histocompatibility complex, class II, DP alpha 1 (HLA-DPA1) as a hub gene related to hypoxia in MM. Methods Differentially expressed genes (DEGs) were filtrated with R package “limma”. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were performed using “clusterProfiler” package in R. Then, protein-protein interaction (PPI) network was established. Hub genes were screened out according to Maximal Clique Centrality (MCC). PrognoScan evaluated all the significant hub genes for survival analysis. ScanGEO was used for visualization of gene expression in different clinical studies. P and Cox p value < 0.05 was considered to be statistical significance. Results HLA-DPA1 was finally picked out as a hub gene in MM related to hypoxia. MM patients with down-regulated expression of HLA-DPA1 has statistically significantly shorter disease specific survival (DSS) (COX p = 0.005411). Based on the clinical data of GSE47552 dataset, HLA-DPA1 expression showed significantly lower in MM patients than that in healthy donors (HDs) (p = 0.017). Conclusion We identified HLA-DPA1 as a hub gene in MM related to hypoxia. HLA-DPA1 down-regulated expression was associated with MM patients’ poor outcome. Further functional and mechanistic studies are need to investigate HLA-DPA1 as potential therapeutic target.
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van Balen P, Kester MGD, de Klerk W, Crivello P, Arrieta-Bolaños E, de Ru AH, Jedema I, Mohammed Y, Heemskerk MHM, Fleischhauer K, van Veelen PA, Falkenburg JHF. Immunopeptidome Analysis of HLA-DPB1 Allelic Variants Reveals New Functional Hierarchies. THE JOURNAL OF IMMUNOLOGY 2020; 204:3273-3282. [DOI: 10.4049/jimmunol.2000192] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 04/13/2020] [Indexed: 01/22/2023]
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Niehrs A, Altfeld M. Regulation of NK-Cell Function by HLA Class II. Front Cell Infect Microbiol 2020; 10:55. [PMID: 32133304 PMCID: PMC7040486 DOI: 10.3389/fcimb.2020.00055] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 01/31/2020] [Indexed: 12/11/2022] Open
Abstract
Natural Killer (NK) cells were initially described as part of the innate immune system and characterized by their ability to lyse malignant and virus-infected cells. The cytolytic function of NK cells is tightly controlled by activating and inhibitory receptors expressed on the cell surface. Ligands that interact with a variety of NK-cell receptors include the human leukocyte antigen (HLA) molecules, and the regulation of NK-cell function by HLA class I molecules is well-established. Earlier studies also suggested a role of HLA class II molecules in regulating NK cell activity; yet, interactions between HLA class II molecules and NK cell receptors have not been well-characterized. We recently identified a subset of HLA-DP molecules that can serve as ligands for the natural cytotoxicity receptor NKp44 and activate NK cells. This novel receptor-ligand interaction provides a potential mechanism to explain the strong associations of HLA-DP molecules with HBV infection outcomes, graft-vs.-host disease and inflammatory bowel disease. Furthermore, it adds a new mechanism for NK-cell crosstalk with immune cells expressing HLA class II molecules. In this perspective article, we discuss the potential implications of NK cell receptor interactions with HLA class II molecules for the regulation of immune responses.
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Affiliation(s)
- Annika Niehrs
- Research Department Virus Immunology, Heinrich Pette Institute, Leibniz Institute for Experimental Virology, Hamburg, Germany
| | - Marcus Altfeld
- Research Department Virus Immunology, Heinrich Pette Institute, Leibniz Institute for Experimental Virology, Hamburg, Germany.,Institute for Immunology, Universitätsklinikum Hamburg Eppendorf, Hamburg, Germany
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Akgöllü E. Assessment of HLADP gene rs3128917 and rs9380343 polymorphisms in chronic HBV infection. TURKISH JOURNAL OF GASTROENTEROLOGY 2020; 30:616-623. [PMID: 31290749 DOI: 10.5152/tjg.2019.18480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
BACKGROUND/AIMS About 400 million people worldwide have been exposed to Hepatitis B (HBV) infection. A range of 10%-15% of chronic HBV carriers may present with various liver diseases including cirrhosis and hepatic cancer. The chronicity or clearance of HBV infection is dependent on viral and genetic variables. Genome-wide association studies (GWAS) have reported that the variants of human leukocyte antigen (HLA), rs3128917 and rs9380343, are significantly related to persistent HBV infection. HLA molecules are responsible for introducing various antigens into the immune system. These variants might affect antigen presentation by influencing HLA mRNA expression, therefore, antigen presentation may not be performed properly. This study aims to assess the relationship of HLA gene variants to chronic HBV infection. MATERIALS AND METHODS HLA variants were explored in 238 chronic HBV patients and in 238 individuals with spontaneous clearance of HBV using PCR-RFLP assay. RESULTS The allele and genotype of rs9380343 polymorphism were associated with persistent HBV infection risk (allele: p=0.038, genotype: p=0.029), but rs3128917 polymorphism was not significant. Additionally, rs9380343 polymorphism was also related to increased risk of HBV infection in males (p<0.05). CONCLUSION The current study is the first report demonstrating the HLA rs9380343 polymorphism as a genetic risk factor for chronicity of HBV infection. Further independent studies are required to confirm the current findings using a larger sample size in different populations.
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Affiliation(s)
- Ersin Akgöllü
- Department of Gastroenterology, Çukurova University School of Medicine, Adana, Turkey
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Chung S, Roh EY, Park B, Lee Y, Shin S, Yoon JH, Song EY. GWAS identifying HLA-DPB1 gene variants associated with responsiveness to hepatitis B virus vaccination in Koreans: Independent association of HLA-DPB1*04:02 possessing rs1042169 G - rs9277355 C - rs9277356 A. J Viral Hepat 2019; 26:1318-1329. [PMID: 31243853 DOI: 10.1111/jvh.13168] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 05/07/2019] [Accepted: 05/15/2019] [Indexed: 02/06/2023]
Abstract
Recently, HLA class II loci, including HLA-DPB1, have been reported to be associated with interindividual variance in the hepatitis B (HB) vaccine response. In this study, we investigated significant single nucleotide polymorphisms (SNPs) for anti-HBs antibody levels in 6867 healthy Koreans using a genome-wide association study (GWAS). In GWAS, the top 20 SNPs that showed significant association with anti-HBs levels (P < 1.0 × 10-29 ) all resided in HLA-DPB1. Utilizing PCR sequencing, we verified the relationship of the top 3 most significant SNPs (rs1042169, rs9277355 and rs9277356) from the GWAS and genotypes of HLA-DPB1 with the HB vaccine response in Korean infants who received a scheduled vaccination. The DPB1*04:02 allele has G, C and A nucleotides for the 3SNP sites, and was significantly more frequent in responders than in nonresponders (10.9% vs 1.0%, Pc = 0.018). DPB1*05:01 was significantly more frequent in nonresponders than in responders (49.0% vs 31.1%, Pc = 0.018). In multivariate logistic regression, DPB1*04:02 showed a significant association with both vaccine response (P = 0.037, OR = 8.465) and high-titre response (P = 0.027, OR = 9.860). The haplotypes rs1042169 G - rs9277355 C - rs9277356 A showed a significant association with a high-titre response only (P = 0.002, OR = 2.941). In conclusion, DPB1*04:02 possessing rs1042169 G - rs9277355 C - rs9277356 A is an independent predictor of the HB vaccine response in Koreans.
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Affiliation(s)
- Soie Chung
- Department of Laboratory Medicine and Healthcare Research Institute, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Eun Youn Roh
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.,Department of Laboratory Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea.,Seoul Metropolitan Public Cord Blood Bank-ALLCORD, Seoul, Republic of Korea
| | - Boram Park
- Department of Public Health Sciences, Seoul National University, Seoul, Republic of Korea
| | - Yunhwan Lee
- Department of Public Health Sciences, Seoul National University, Seoul, Republic of Korea
| | - Sue Shin
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.,Department of Laboratory Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea.,Seoul Metropolitan Public Cord Blood Bank-ALLCORD, Seoul, Republic of Korea
| | - Jong Hyun Yoon
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.,Department of Laboratory Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea.,Seoul Metropolitan Public Cord Blood Bank-ALLCORD, Seoul, Republic of Korea
| | - Eun Young Song
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
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17
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Haasnoot AMJ, Kuiper JJ, de Boer JH. Predicting uveitis in juvenile idiopathic arthritis: from biomarkers to clinical practice. Expert Rev Clin Immunol 2019; 15:657-666. [DOI: 10.1080/1744666x.2019.1593139] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Anne-Mieke J.W. Haasnoot
- Department of Ophthalmology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jonas J.W. Kuiper
- Department of Ophthalmology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Joke H. de Boer
- Department of Ophthalmology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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18
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Koukoulioti E, Fischer J, Schott E, Fülöp B, Heyne R, Berg T, van Bömmel F. Association of HLA-DPA1 and HLA-DPB1 polymorphisms with spontaneous HBsAg seroclearance in Caucasians. Liver Int 2019; 39:646-654. [PMID: 30471179 DOI: 10.1111/liv.14008] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 10/11/2018] [Accepted: 11/07/2018] [Indexed: 12/20/2022]
Abstract
BACKGROUND & AIMS Acute hepatitis B virus (HBV) infections may clear spontaneously or become chronic and run through different phases. The single nucleotide polymorphisms (SNPs) rs3077, rs9277535 and rs9277534 within the human leucocyte antigen (HLA)-DP gene have been found to be associated with HBV susceptibility and persistence in Asians. However, evidence for the influence of these variants in Caucasians has been limited so far. The aim of our study was to investigate the impact of these polymorphisms on the outcome of HBV infections in a large Caucasian population. METHODS In this case-control study, we retrospectively analysed 1111 Caucasian individuals, including 618 with chronic HBV infections (CHB), 239 with spontaneous HBsAg seroclearance (SC) and 254 healthy controls (HC). The rs3077, rs9277535 and rs9277534 SNPs were genotyped by a polymerase chain reaction from blood samples and melting curve analysis. RESULTS A significant difference in the allele distributions was observed only for the rs3077 SNP between the HC and the CHB group as well as between the SC and CHB groups. The rs3077-C allele was associated with a lower probability for spontaneous HBsAg seroclearance in comparison with the rs3077-T allele (OR 0.704, 95% CI 0.509-0.974; P = 0.033). No association of the three SNPs with the stages of chronic HBV infection was found. CONCLUSION This is the first study demonstrating an association of the rs3077-T allele with spontaneous HBsAg seroclearance in Caucasians. Further studies are needed to elucidate the role of HLA-DP variants in disease pathogenesis and their potential role for individualized disease management.
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Affiliation(s)
- Eleni Koukoulioti
- Department of Gastroenterology and Rheumatology, Section of Hepatology, University Hospital Leipzig, Leipzig, Germany
| | - Janett Fischer
- Department of Gastroenterology and Rheumatology, Section of Hepatology, University Hospital Leipzig, Leipzig, Germany
| | - Eckart Schott
- Department of Internal Medicine II, HELIOS Hospital Emil von Behring, Berlin, Germany
| | - Balazs Fülöp
- Department of Gastroenterology and Rheumatology, Section of Hepatology, University Hospital Leipzig, Leipzig, Germany.,Department of Internal Medicine and Gastroenterology, HELIOS Hospital Berlin-Buch, Berlin, Germany
| | - Renate Heyne
- Department of Internal Medicine and Gastroenterology, HELIOS Hospital Berlin-Buch, Berlin, Germany
| | - Thomas Berg
- Department of Gastroenterology and Rheumatology, Section of Hepatology, University Hospital Leipzig, Leipzig, Germany
| | - Florian van Bömmel
- Department of Gastroenterology and Rheumatology, Section of Hepatology, University Hospital Leipzig, Leipzig, Germany
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19
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Genetic determinants of risk in pulmonary arterial hypertension: international genome-wide association studies and meta-analysis. THE LANCET. RESPIRATORY MEDICINE 2019; 7:227-238. [PMID: 30527956 PMCID: PMC6391516 DOI: 10.1016/s2213-2600(18)30409-0] [Citation(s) in RCA: 141] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 09/20/2018] [Accepted: 09/26/2018] [Indexed: 01/06/2023]
Abstract
BACKGROUND Rare genetic variants cause pulmonary arterial hypertension, but the contribution of common genetic variation to disease risk and natural history is poorly characterised. We tested for genome-wide association for pulmonary arterial hypertension in large international cohorts and assessed the contribution of associated regions to outcomes. METHODS We did two separate genome-wide association studies (GWAS) and a meta-analysis of pulmonary arterial hypertension. These GWAS used data from four international case-control studies across 11 744 individuals with European ancestry (including 2085 patients). One GWAS used genotypes from 5895 whole-genome sequences and the other GWAS used genotyping array data from an additional 5849 individuals. Cross-validation of loci reaching genome-wide significance was sought by meta-analysis. Conditional analysis corrected for the most significant variants at each locus was used to resolve signals for multiple associations. We functionally annotated associated variants and tested associations with duration of survival. All-cause mortality was the primary endpoint in survival analyses. FINDINGS A locus near SOX17 (rs10103692, odds ratio 1·80 [95% CI 1·55-2·08], p=5·13 × 10-15) and a second locus in HLA-DPA1 and HLA-DPB1 (collectively referred to as HLA-DPA1/DPB1 here; rs2856830, 1·56 [1·42-1·71], p=7·65 × 10-20) within the class II MHC region were associated with pulmonary arterial hypertension. The SOX17 locus had two independent signals associated with pulmonary arterial hypertension (rs13266183, 1·36 [1·25-1·48], p=1·69 × 10-12; and rs10103692). Functional and epigenomic data indicate that the risk variants near SOX17 alter gene regulation via an enhancer active in endothelial cells. Pulmonary arterial hypertension risk variants determined haplotype-specific enhancer activity, and CRISPR-mediated inhibition of the enhancer reduced SOX17 expression. The HLA-DPA1/DPB1 rs2856830 genotype was strongly associated with survival. Median survival from diagnosis in patients with pulmonary arterial hypertension with the C/C homozygous genotype was double (13·50 years [95% CI 12·07 to >13·50]) that of those with the T/T genotype (6·97 years [6·02-8·05]), despite similar baseline disease severity. INTERPRETATION This is the first study to report that common genetic variation at loci in an enhancer near SOX17 and in HLA-DPA1/DPB1 is associated with pulmonary arterial hypertension. Impairment of SOX17 function might be more common in pulmonary arterial hypertension than suggested by rare mutations in SOX17. Further studies are needed to confirm the association between HLA typing or rs2856830 genotyping and survival, and to determine whether HLA typing or rs2856830 genotyping improves risk stratification in clinical practice or trials. FUNDING UK NIHR, BHF, UK MRC, Dinosaur Trust, NIH/NHLBI, ERS, EMBO, Wellcome Trust, EU, AHA, ACClinPharm, Netherlands CVRI, Dutch Heart Foundation, Dutch Federation of UMC, Netherlands OHRD and RNAS, German DFG, German BMBF, APH Paris, INSERM, Université Paris-Sud, and French ANR.
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20
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Abstract
Trans-species polymorphism has been widely used as a key sign of long-term balancing selection across multiple species. However, such sites are often rare in the genome and could result from mutational processes or technical artifacts. Few methods are yet available to specifically detect footprints of trans-species balancing selection without using trans-species polymorphic sites. In this study, we develop summary- and model-based approaches that are each specifically tailored to uncover regions of long-term balancing selection shared by a set of species by using genomic patterns of intraspecific polymorphism and interspecific fixed differences. We demonstrate that our trans-species statistics have substantially higher power than single-species approaches to detect footprints of trans-species balancing selection, and are robust to those that do not affect all tested species. We further apply our model-based methods to human and chimpanzee whole-genome sequencing data. In addition to the previously established major histocompatibility complex and malaria resistance-associated FREM3/GYPE regions, we also find outstanding genomic regions involved in barrier integrity and innate immunity, such as the GRIK1/CLDN17 intergenic region, and the SLC35F1 and ABCA13 genes. Our findings not only echo the significance of pathogen defense but also reveal novel candidates in maintaining balanced polymorphisms across human and chimpanzee lineages. Finally, we show that these trans-species statistics can be applied to and work well for an arbitrary number of species, and integrate them into open-source software packages for ease of use by the scientific community.
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Affiliation(s)
- Xiaoheng Cheng
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA
- Department of Biology, Pennsylvania State University, University Park, PA
| | - Michael DeGiorgio
- Department of Biology, Pennsylvania State University, University Park, PA
- Department of Statistics, Pennsylvania State University, University Park, PA
- Institute for CyberScience, Pennsylvania State University, University Park, PA
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21
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Furukawa H, Oka S, Shimada K, Hashimoto A, Komiya A, Tsunoda S, Suda A, Ito S, Saisho K, Katayama M, Shinohara S, Sato T, Nagatani K, Minota S, Matsui T, Fukui N, Sugii S, Sano H, Migita K, Nagaoka S, Tohma S. Independent association of HLA-DPB1*02:01 with rheumatoid arthritis in Japanese populations. PLoS One 2018; 13:e0204459. [PMID: 30235330 PMCID: PMC6157818 DOI: 10.1371/journal.pone.0204459] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2018] [Accepted: 09/08/2018] [Indexed: 12/04/2022] Open
Abstract
Objective Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized with joint destructions; environmental and genetic factors were thought to be involved in the etiology of RA. The production of anti-citrullinated peptide antibodies (ACPA) is specifically associated with RA. DRB1 is associated with the susceptibility of RA, especially ACPA-positive RA [ACPA(+)RA]. However, a few studies reported on the independent associations of DPB1 alleles with RA susceptibility. Thus, we investigated the independent association of DPB1 alleles with RA in Japanese populations. Methods Association analyses of DPB1 were conducted by logistic regression analysis in 1667 RA patients and 413 controls. Results In unconditioned analysis, DPB1*04:02 was nominally associated with the susceptibility of ACPA(+)RA (P = 0.0021, corrected P (Pc) = 0.0275, odds ratio [OR] 1.52, 95% confidence interval [CI] 1.16–1.99). A significant association of DPB1*02:01 with the susceptibility of ACPA(+)RA was observed, when conditioned on DRB1 (Padjusted = 0.0003, Pcadjusted = 0.0040, ORadjusted 1.47, 95%CI 1.19–1.81). DPB1*05:01 was tended to be associated with the protection against ACPA(+)RA, when conditioned on DRB1 (Padjusted = 0.0091, Pcadjusted = 0.1184, ORadjusted 0.78, 95%CI 0.65–0.94). When conditioned on DRB1, the association of DPB1*04:02 with ACPA(+)RA was disappeared. No association of DPB1 alleles with ACPA-negative RA was detected. Conclusion The independent association of DPB1*02:01 with Japanese ACPA(+)RA was identified.
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Affiliation(s)
- Hiroshi Furukawa
- Clinical Research Center for Allergy and Rheumatology, National Hospital Organization Sagamihara National Hospital, Sagamihara, Japan
- Molecular and Genetic Epidemiology Laboratory, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
- * E-mail:
| | - Shomi Oka
- Clinical Research Center for Allergy and Rheumatology, National Hospital Organization Sagamihara National Hospital, Sagamihara, Japan
- Molecular and Genetic Epidemiology Laboratory, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Kota Shimada
- Department of Rheumatology, National Hospital Organization Sagamihara National Hospital, Sagamihara, Japan
- Department of Rheumatic Diseases, Tokyo Metropolitan Tama Medical Center, Fuchu, Japan
| | - Atsushi Hashimoto
- Department of Rheumatology, National Hospital Organization Sagamihara National Hospital, Sagamihara, Japan
| | - Akiko Komiya
- Clinical Research Center for Allergy and Rheumatology, National Hospital Organization Sagamihara National Hospital, Sagamihara, Japan
| | - Shinichiro Tsunoda
- Division of Rheumatology, Department of Internal Medicine, Hyogo College of Medicine, Nishinomiya, Japan
- Department of Rheumatology, Sumitomo Hospital, Osaka, Japan
| | - Akiko Suda
- Department of Rheumatology, Yokohama Minami Kyosai Hospital, Yokohama, Japan
| | - Satoshi Ito
- Department of Rheumatology, Niigata Rheumatic Center, Shibata, Japan
| | - Koichiro Saisho
- Department of Orthopedics/Rheumatology, Miyakonojo Medical Center, National Hospital Organization, Miyakonojo, Japan
| | - Masao Katayama
- Department of Internal Medicine, Nagoya Medical Center, National Hospital Organization, Nagoya, Japan
| | | | - Takeo Sato
- Division of Rheumatology and Clinical Immunology, Jichi Medical University, Shimotsuke, Japan
| | - Katsuya Nagatani
- Division of Rheumatology and Clinical Immunology, Jichi Medical University, Shimotsuke, Japan
| | - Seiji Minota
- Division of Rheumatology and Clinical Immunology, Jichi Medical University, Shimotsuke, Japan
| | - Toshihiro Matsui
- Clinical Research Center for Allergy and Rheumatology, National Hospital Organization Sagamihara National Hospital, Sagamihara, Japan
| | - Naoshi Fukui
- Clinical Research Center for Allergy and Rheumatology, National Hospital Organization Sagamihara National Hospital, Sagamihara, Japan
| | - Shoji Sugii
- Department of Rheumatic Diseases, Tokyo Metropolitan Tama Medical Center, Fuchu, Japan
| | - Hajime Sano
- Division of Rheumatology, Department of Internal Medicine, Hyogo College of Medicine, Nishinomiya, Japan
| | - Kiyoshi Migita
- Clinical Research Center, Nagasaki Medical Center, National Hospital Organization, Omura, Japan
- Department of Gastroenterology and Rheumatology, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, Japan
| | - Shouhei Nagaoka
- Department of Rheumatology, Yokohama Minami Kyosai Hospital, Yokohama, Japan
| | - Shigeto Tohma
- Clinical Research Center for Allergy and Rheumatology, National Hospital Organization Sagamihara National Hospital, Sagamihara, Japan
- Tokyo National Hospital, National Hospital Organization, Kiyose, Japan
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Akcay IM, Katrinli S, Ozdil K, Doganay GD, Doganay L. Host genetic factors affecting hepatitis B infection outcomes: Insights from genome-wide association studies. World J Gastroenterol 2018; 24:3347-3360. [PMID: 30122875 PMCID: PMC6092584 DOI: 10.3748/wjg.v24.i30.3347] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 05/29/2018] [Accepted: 06/25/2018] [Indexed: 02/06/2023] Open
Abstract
The clinical outcome of hepatitis B virus (HBV) infection depends on the success or failure of the immune responses to HBV, and varies widely among individuals, ranging from asymptomatic self-limited infection, inactive carrier state, chronic hepatitis, cirrhosis, hepatocellular carcinoma, to liver failure, depending on the success or failure of immune response to HBV. Genome-wide association studies (GWAS) identified key genetic factors influencing the pathogenesis of HBV-related traits. In this review, we discuss GWAS for persistence of HBV infection, antibody response to hepatitis B vaccine, and HBV-related advanced liver diseases. HBV persistence is associated with multiple genes with diverse roles in immune mechanisms. The strongest associations are found within the classical human leukocyte antigen (HLA) genes, highlighting the central role of antigen presentation in the immune response to HBV. Associated variants affect both epitope binding specificities and expression levels of HLA molecules. Several other susceptibility genes regulate the magnitude of adaptive immune responses, determining immunity vs tolerance. HBV persistence and nonresponse to vaccine share the same risk variants, implying overlapping genetic bases. On the other hand, the risk variants for HBV-related advanced liver diseases are largely different, suggesting different host-virus dynamics in acute vs chronic HBV infections. The findings of these GWAS are likely to pave the way for developing more effective preventive and therapeutic interventions by personalizing the management of HBV infection.
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Affiliation(s)
- Izzet Mehmet Akcay
- Department of Molecular Biology and Genetics, Istanbul Technical University, Istanbul 34469, Turkey
| | - Seyma Katrinli
- Department of Molecular Biology and Genetics, Istanbul Technical University, Istanbul 34469, Turkey
| | - Kamil Ozdil
- Department of Gastroenterology and Hepatology, Umraniye Teaching and Research Hospital, Istanbul 34764, Turkey
| | - Gizem Dinler Doganay
- Department of Molecular Biology and Genetics, Istanbul Technical University, Istanbul 34469, Turkey
| | - Levent Doganay
- Department of Gastroenterology and Hepatology, Umraniye Teaching and Research Hospital, Istanbul 34764, Turkey
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23
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Arrieta-Bolaños E, Crivello P, Metzing M, Meurer T, Ahci M, Rytlewski J, Vignali M, Yusko E, van Balen P, Horn PA, Falkenburg JHF, Fleischhauer K. Alloreactive T Cell Receptor Diversity against Structurally Similar or Dissimilar HLA-DP Antigens Assessed by Deep Sequencing. Front Immunol 2018. [PMID: 29520276 PMCID: PMC5827552 DOI: 10.3389/fimmu.2018.00280] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
T cell alloreactivity is mediated by a self-human leukocyte antigen (HLA)-restricted T cell receptor (TCR) repertoire able to recognize both structurally similar and dissimilar allogeneic HLA molecules (i.e., differing by a single or several amino acids in their peptide-binding groove). We hypothesized that thymic selection on self-HLA molecules could have an indirect impact on the size and diversity of the alloreactive response. To test this possibility, we used TCR Vβ immunophenotyping and immunosequencing technology in a model of alloreactivity between self-HLA selected T cells and allogeneic HLA-DPB1 (DPB1) differing from self-DPB1*04:02 by a single (DPB1*02:01) or several (DPB1*09:01) amino acids in the peptide-binding groove. CD4+ T cells from three different self-DPB1*04:01,*04:02 individuals were stimulated with HeLa cells stably transduced with the relevant peptide processing machinery, co-stimulatory molecules, and HLA-DP. Flow cytometric quantification of the DPB1-specific T cell response measured as upregulation of the activation marker CD137 revealed significantly lower levels of alloreactivity against DPB1*02:01 compared with DPB1*09:01 (mean CD4+CD137+ frequency 35.2 ± 9.9 vs. 61.5 ± 7.7%, respectively, p < 0.0001). These quantitative differences were, however, not reflected by differences in the breadth of the alloreactive response at the Vβ level, with both alloantigens eliciting specific responses from all TCR-Vβ specificities tested by flow cytometry, albeit with higher levels of reactivity from most Vβ specificities against DPB1*09:01. In line with these observations, TCRB-CDR3 immunosequencing showed no significant differences in mean clonality of sorted CD137+CD4+ cells alloreactive against DPB1*02:01 or DPB1*09:01 [0.39 (0.36–0.45) and 0.39 (0.30–0.46), respectively], or in the cumulative frequencies of the 10 most frequent responding clones (55–67 and 58–62%, respectively). Most of the clones alloreactive against DPB1*02:01 (68.3%) or DPB1*09:01 (75.3%) were characterized by low-abundance (i.e., they were not appreciable among the pre-culture T cells). Interestingly, however, their cumulative frequency was lower against DPB1*02:01 compared with DPB1*09:01 (mean cumulative frequency 35.3 vs. 50.6%, respectively). Our data show that, despite lower levels of alloreactivity, a similar clonal diversity can be elicited by structurally similar compared with structurally dissimilar HLA-DPB1 alloantigens and demonstrate the power of TCRB immunosequencing in unraveling subtle qualitative changes not appreciable by conventional methods.
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Affiliation(s)
| | - Pietro Crivello
- Institute for Experimental Cellular Therapy, University Hospital Essen, Essen, Germany
| | - Maximilian Metzing
- Institute for Experimental Cellular Therapy, University Hospital Essen, Essen, Germany
| | - Thuja Meurer
- Institute for Experimental Cellular Therapy, University Hospital Essen, Essen, Germany
| | - Müberra Ahci
- Institute for Experimental Cellular Therapy, University Hospital Essen, Essen, Germany
| | | | | | - Erik Yusko
- Adaptive Biotechnologies, Seattle, WA, United States
| | - Peter van Balen
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
| | - Peter A Horn
- Institute for Transfusion Medicine, University Hospital Essen, Essen, Germany
| | | | - Katharina Fleischhauer
- Institute for Experimental Cellular Therapy, University Hospital Essen, Essen, Germany.,German Cancer Consortium (DKTK), Heidelberg, Germany
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Association of Japanese cedar pollinosis and sensitization with HLA-DPB1 in the Japanese adolescent. Allergol Int 2018; 67:61-66. [PMID: 28460831 DOI: 10.1016/j.alit.2017.04.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 03/22/2017] [Accepted: 03/30/2017] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Allergic rhinitis (AR) is a heterogeneous disorder that significantly affects daily activity, work productivity, sleep, learning, and quality of life in all generations. Japanese cedar (JC) pollen is the most common allergen responsible for the development of AR in Japan. AR caused by JC pollen is considered to be a multifactorial inheritance disease that is caused by both environmental and genetic factors. The aim of this study was to investigate whether Human Leukocyte Antigen-DPB1 (HLA-DPB1) is associated with JC sensitization/pollinosis. METHODS Subjects in the present study were 544 students at the University of Tsukuba from 2013 to 2015. PCR-SSOP was performed to determine each individual's HLA-DPB1 alleles. Logistic regression analysis was performed to examine relationships between JC-related phenotypes and alleles/amino acid polymorphisms of HLA-DPB1. RESULTS HLA-DPB1*02 allele were significantly associated with both JC sensitization/pollinosis (q < 0.05). Furthermore, HLA-DPB1*02:01 and HLA-DPB1*02:02 had a protective tendency for JC sensitization/pollinosis, and HLA-DPB1*05:01 had a susceptible tendency for sensitization (P < 0.05). In amino acid polymorphism analyses, Glutamic acid in position 69, Glycine-Glycine-Proline-Methionine in positions 84-87, Threonine in position 170 and Methionine in position 205 were also observed to have a protective tendency for JC sensitization (P < 0.05). Amino acid positions 69 and 84-87 were located in binding pocket 5 and 1 of HLA-DPβ1, respectively. CONCLUSIONS Amino acid changes in the allergen-binding pocket of HLA-DPβ1 are likely to influence pollinosis/sensitization to the allergenic peptide of JC pollen and determine the pollinosis risk for each individual exposed to JC pollen.
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25
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The relationship between human leukocyte antigen-DP/DQ gene polymorphisms and the outcomes of HCV infection in a Chinese population. Virol J 2017; 14:235. [PMID: 29212520 PMCID: PMC5719872 DOI: 10.1186/s12985-017-0901-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Accepted: 11/20/2017] [Indexed: 12/14/2022] Open
Abstract
Background Recently, human leukocyte antigen (HLA) class-II gene polymorphisms have been reported to be related to Hepatitis C virus (HCV) infection and chronicity. The objective of this study was to explore the relationship of HLA-DP rs9277535 and HLA-DQ rs7453920 with the outcomes of HCV infection. Methods The rs9277535 and rs7453920 were genotyped in 370 subjects with chronic HCV infection, 194 subjects with spontaneous HCV clearance, and 973 subjects with non-HCV infection from the Chinese population using the ABI TaqMan allelic discrimination assay. Results Logistic regression analyses showed that the minor allele A of rs7453920 significantly increased the susceptibility of HCV infection in dominant model (adjusted OR = 1.33, 95% CI: 1.04–1.71, P = 0.026) and additive models (adjusted OR = 1.30, 95% CI: 1.06–1.60, P = 0.012). Rs9277535 A allele significantly increased the risk of chronic HCV infection in dominant model (adjusted OR = 1.52, 95% CI: 1.01–2.28, P = 0.046). Haplotype AA showed a higher risk of HCV infection than the most frequent haplotype GG (adjusted OR = 1.37, 95% CI: 1.05–1.78, P = 0.018). Conclusion The HLA-DQ rs7453920 and -DP rs9277535 mutations were significantly associated with HCV infection susceptibility and chronicity, respectively. Electronic supplementary material The online version of this article (10.1186/s12985-017-0901-7) contains supplementary material, which is available to authorized users.
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Association between HLA-DQ Gene Polymorphisms and HBV-Related Hepatocellular Carcinoma. Gastroenterol Res Pract 2017; 2017:7150386. [PMID: 28761441 PMCID: PMC5518512 DOI: 10.1155/2017/7150386] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 05/23/2017] [Accepted: 06/08/2017] [Indexed: 02/07/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is one of the most common causes of cancer-related mortality worldwide. Host gene variants may influence hepatitis B virus- (HBV-) related HCC. Human leukocyte antigens (HLA) play an important role in presenting virus antigens to immune cells that are responsible for the clearance of virus-infected cells and tumor cells. Previous studies have investigated the HLA-DQ (rs2856718 and rs9275572) polymorphisms that may be associated with the development of HBV-related HCC. However, the results are controversial or inconclusive. Hence, we conducted a meta-analysis to derive a more precise estimation of the associations. A total of 6 articles were used to evaluate the effect of the two polymorphisms on the risk of HBV-related HCC. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated. We found that rs2856718 and rs9275572 in HLA-DQ significantly decreased HBV-related HCC in total population, especially in Chinese, but not in Saudi Arabian. Further validation of our results in larger populations and different ethnicities are required.
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Ochi Y, Hashimoto S, Kawabe N, Murao M, Nakano T, Kan T, Nakaoka K, Ohki M, Kurashita T, Takamura T, Nomura S, Nishikawa T, Fukui A, Osakabe K, Ichino N, Yoshioka K. HLA-DQ gene polymorphisms are associated with hepatocellular carcinoma and hepatitis B surface antigen in chronic hepatitis B virus infection. Hepatol Res 2017; 47:755-766. [PMID: 27580643 DOI: 10.1111/hepr.12812] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2016] [Revised: 08/14/2016] [Accepted: 08/29/2016] [Indexed: 01/31/2023]
Abstract
AIM Genome-wide association studies have revealed that single nucleotide polymorphism (SNP) of human leukocyte antigen (HLA)-DQ is associated with the clearance of hepatitis B surface antigen (HBsAg) in acute hepatitis B virus (HBV) infection. We examined the effects of SNPs on the development of hepatocellular carcinoma (HCC) and markers of HBV in chronic HBV infection. METHODS The SNPs of HLA-DQ (rs2856718 and rs7453920) were determined in 299 patients with chronic HBV infection. RESULTS In 224 hepatitis B e antigen (HBeAg)-negative patients, those with rs2856718 genotype AG + GG had significantly lower hepatitis B core-related antigen levels (P = 0.0184), less frequent treatment with nucleotide/nucleoside analogs (NAs) (P = 0.0433), and less frequent HCC development (P = 0.0256) than those with genotype AA. Multivariate analysis selected age (P = 0.0460), platelet count (P = 0.0481), γ-glutamyl transpeptidase (P = 0.0030), and nucleotide/nucleoside analog treatment (P = 0.0003) as factors independently associated with HCC development. HBeAg-negative patients with rs7453920 genotype GG had significantly lower HBsAg levels (P < 0.0001), a higher prevalence of HBV genotype C (P = 0.0063), and a lower prevalence of the wild-type basal core promoter region (P = 0.0045) than those with genotype AA + AG. Multivariate analysis selected age (P < 0.0001), platelet count (P = 0.0021), HBV DNA levels (P = 0.0314), wild type of precore region (P = 0.0015), and rs7453920 (P < 0.0001) as factors independently associated with HBsAg levels. CONCLUSION This study revealed an association between rs2856718 and HCC development and an association between rs7453920 and HBsAg levels.
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Affiliation(s)
- Yuka Ochi
- Department of Liver, Biliary Tract and Pancreas Diseases, Fujita Health University, Toyoake, Japan
| | - Senju Hashimoto
- Department of Liver, Biliary Tract and Pancreas Diseases, Fujita Health University, Toyoake, Japan
| | - Naoto Kawabe
- Department of Liver, Biliary Tract and Pancreas Diseases, Fujita Health University, Toyoake, Japan
| | - Michihito Murao
- Department of Liver, Biliary Tract and Pancreas Diseases, Fujita Health University, Toyoake, Japan
| | - Takuji Nakano
- Department of Liver, Biliary Tract and Pancreas Diseases, Fujita Health University, Toyoake, Japan
| | - Toshiki Kan
- Department of Liver, Biliary Tract and Pancreas Diseases, Fujita Health University, Toyoake, Japan
| | - Kazunori Nakaoka
- Department of Liver, Biliary Tract and Pancreas Diseases, Fujita Health University, Toyoake, Japan
| | - Masashi Ohki
- Department of Liver, Biliary Tract and Pancreas Diseases, Fujita Health University, Toyoake, Japan
| | - Takamitsu Kurashita
- Department of Liver, Biliary Tract and Pancreas Diseases, Fujita Health University, Toyoake, Japan
| | - Tomoki Takamura
- Department of Liver, Biliary Tract and Pancreas Diseases, Fujita Health University, Toyoake, Japan
| | - Sayuri Nomura
- Department of Liver, Biliary Tract and Pancreas Diseases, Fujita Health University, Toyoake, Japan
| | - Toru Nishikawa
- Department of Liver, Biliary Tract and Pancreas Diseases, Fujita Health University, Toyoake, Japan
| | - Aiko Fukui
- Department of Clinical Pharmacy Practice and Health Care Management, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Keisuke Osakabe
- Faculty of Medical Technology, School of Health Sciences, Fujita Health University, Toyoake, Japan
| | - Naohiro Ichino
- Faculty of Medical Technology, School of Health Sciences, Fujita Health University, Toyoake, Japan
| | - Kentaro Yoshioka
- Department of Liver, Biliary Tract and Pancreas Diseases, Fujita Health University, Toyoake, Japan
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28
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Merkel PA, Xie G, Monach PA, Ji X, Ciavatta DJ, Byun J, Pinder BD, Zhao A, Zhang J, Tadesse Y, Qian D, Weirauch M, Nair R, Tsoi A, Pagnoux C, Carette S, Chung S, Cuthbertson D, Davis JC, Dellaripa PF, Forbess L, Gewurz-Singer O, Hoffman GS, Khalidi N, Koening C, Langford CA, Mahr AD, McAlear C, Moreland L, Seo EP, Specks U, Spiera RF, Sreih A, St Clair EW, Stone JH, Ytterberg SR, Elder JT, Qu J, Ochi T, Hirano N, Edberg JC, Falk RJ, Amos CI, Siminovitch KA. Identification of Functional and Expression Polymorphisms Associated With Risk for Antineutrophil Cytoplasmic Autoantibody-Associated Vasculitis. Arthritis Rheumatol 2017; 69:1054-1066. [PMID: 28029757 PMCID: PMC5434905 DOI: 10.1002/art.40034] [Citation(s) in RCA: 118] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Accepted: 12/20/2016] [Indexed: 01/28/2023]
Abstract
Objective To identify risk alleles relevant to the causal and biologic mechanisms of antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV). Methods A genome‐wide association study and subsequent replication study were conducted in a total cohort of 1,986 cases of AAV (patients with granulomatosis with polyangiitis [Wegener's] [GPA] or microscopic polyangiitis [MPA]) and 4,723 healthy controls. Meta‐analysis of these data sets and functional annotation of identified risk loci were performed, and candidate disease variants with unknown functional effects were investigated for their impact on gene expression and/or protein function. Results Among the genome‐wide significant associations identified, the largest effect on risk of AAV came from the single‐nucleotide polymorphism variants rs141530233 and rs1042169 at the HLA–DPB1 locus (odds ratio [OR] 2.99 and OR 2.82, respectively) which, together with a third variant, rs386699872, constitute a triallelic risk haplotype associated with reduced expression of the HLA–DPB1 gene and HLA–DP protein in B cells and monocytes and with increased frequency of complementary proteinase 3 (PR3)–reactive T cells relative to that in carriers of the protective haplotype. Significant associations were also observed at the SERPINA1 and PTPN22 loci, the peak signals arising from functionally relevant missense variants, and at PRTN3, in which the top‐scoring variant correlated with increased PRTN3 expression in neutrophils. Effects of individual loci on AAV risk differed between patients with GPA and those with MPA or between patients with PR3‐ANCAs and those with myeloperoxidase‐ANCAs, but the collective population attributable fraction for these variants was substantive, at 77%. Conclusion This study reveals the association of susceptibility to GPA and MPA with functional gene variants that explain much of the genetic etiology of AAV, could influence and possibly be predictors of the clinical presentation, and appear to alter immune cell proteins and responses likely to be key factors in the pathogenesis of AAV.
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Affiliation(s)
| | - Gang Xie
- Mount Sinai Hospital, Lunenfeld-Tanenbaum Research Institute and Toronto General Research Institute, Toronto, Ontario, Canada
| | - Paul A Monach
- Boston University and VA Boston Healthcare System, Boston, Massachusetts
| | - Xuemei Ji
- Dartmouth College, Lebanon, New Hampshire
| | | | | | - Benjamin D Pinder
- Mount Sinai Hospital, Lunenfeld-Tanenbaum Research Institute and Toronto General Research Institute, Toronto, Ontario, Canada
| | - Ai Zhao
- Mount Sinai Hospital, Lunenfeld-Tanenbaum Research Institute and Toronto General Research Institute, Toronto, Ontario, Canada
| | - Jinyi Zhang
- Mount Sinai Hospital, Lunenfeld-Tanenbaum Research Institute, Toronto General Research Institute and University of Toronto, Toronto, Ontario, Canada
| | - Yohannes Tadesse
- Mount Sinai Hospital, Lunenfeld-Tanenbaum Research Institute and Toronto General Research Institute, Toronto, Ontario, Canada
| | - David Qian
- Dartmouth College, Lebanon, New Hampshire
| | | | | | | | - Christian Pagnoux
- Mount Sinai Hospital and University of Toronto, Toronto, Ontario, Canada
| | - Simon Carette
- Mount Sinai Hospital and University of Toronto, Toronto, Ontario, Canada
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - James T Elder
- University of Michigan and Ann Arbor VA Hospital, Ann Arbor, Michigan
| | - Jia Qu
- Wenzhou Medical University, Wenzhou, China
| | - Toshiki Ochi
- University of Toronto and Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Naoto Hirano
- University of Toronto and Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | | | | | | | - Katherine A Siminovitch
- Mount Sinai Hospital, Lunenfeld-Tanenbaum Research Institute, Toronto General Research Institute and University of Toronto, Toronto, Ontario, Canada
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29
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Effect of HLA-DPA1 alleles on chronic hepatitis B prognosis and treatment response. North Clin Istanb 2017; 3:168-174. [PMID: 28275747 PMCID: PMC5336620 DOI: 10.14744/nci.2016.27870] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Accepted: 12/14/2016] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE Chronic hepatitis B (CHB) is a major health problem. The outcome of hepatitis B virus (HBV) infection is associated with variations in HLA-DPA1 alleles. The aim of this study was to investigate possible associations of HLA-DPA1 alleles with treatment response and with hepatitis B virus e antigen (HBeAg) seroconversion. METHODS Eight different HLA-DPA1 alleles from 246 CHB patients were genotyped by polymerase chain reaction with sequence-specific primers at high resolution to investigate the association of HLA-DPA1 alleles with treatment response, development of cirrhosis, HBeAg seroconversion, and disease reoccurrence upon HBeAg loss. RESULTS There was no significant association between HLA-DPA1 alleles and treatment response, development of cirrhosis, or HBeAg seroconversion. However, HLA-DPA1*04:01 allele was significantly more frequently found in patients who redeveloped disease upon HBeAg seroconversion (100% vs 36.8%: p=0.037; Fisher's exact test). CONCLUSION HLA-DPA1*04:01 allele may be a risk factor for reoccurrence of CHB after HBeAg seroconversion.
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30
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Zhang J, Zhan W, Yang B, Tian A, Chen L, Liao Y, Wu Y, Cai B, Wang L. Genetic Polymorphisms of rs3077 and rs9277535 in HLA-DP associated with Systemic lupus erythematosus in a Chinese population. Sci Rep 2017; 7:39757. [PMID: 28094303 PMCID: PMC5240340 DOI: 10.1038/srep39757] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Accepted: 11/28/2016] [Indexed: 02/05/2023] Open
Abstract
Although the SLE risk gene loci of HLA-DR and HLA-DQ within the major histocompatibility complex (MHC) region has been gradually revealed by recent Genome-Wide Association studies (GWAS), the association of HLA-DP polymorphisms with SLE was minimally reported. Considering that the variants in rs3077 and rs9277535 in the HLA-DP region could influence the immune response by affecting antigen presentation of HLA class II molecules to CD4+ T cells, the present study aimed to explore the role of HLA-DP polymorphisms in SLE. In total, samples from 335 SLE patients and 635 healthy controls were collected and genotyped by a polymerase chain reaction-high resolution melting (PCR-HRM) assay. A significant positive correlation was observed between the SNP rs3077, rs9277535 of HLA-DP and SLE susceptibility (rs3077, OR = 0.74, 95%CI = 0.60-0.91, P = 0.004; rs9277535, OR = 0.72, 95%CI = 0.59-0.88, P = 0.001). Rs3077 polymorphism was corelated to IL-17, INF-γ and cutaneous vasculitis (P = 0.037, P = 0.020 and P = 0.006, respectively). Additionally, rs3077 AA genotype carriers showed lower concentration of inflammatory cytokines and lower cutaneous vasculitis incidence than did the other two genotype. No significant association was observed between rs9277535 and cytokines or any clinical features. In conclusion, HLA-DP polymorphisms (rs3077 and rs9277535) were associated with SLE susceptibility and the levels of some inflammatory cytokines in SLE patients.
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Affiliation(s)
- Junlong Zhang
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Wenli Zhan
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Bin Yang
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Anning Tian
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Lin Chen
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Yun Liao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Yongkang Wu
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Bei Cai
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Lanlan Wang
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
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31
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Simmons DP, Kafetzi ML, Wood I, Macaskill PC, Milford EL, Guleria I. Antibodies against HLA-DP recognize broadly expressed epitopes. Hum Immunol 2016; 77:1128-1139. [PMID: 27664843 DOI: 10.1016/j.humimm.2016.09.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Revised: 08/20/2016] [Accepted: 09/20/2016] [Indexed: 11/27/2022]
Abstract
HLA matching and avoidance of pre-transplant donor-specific antibodies are important in selection of donors for solid organ transplant. Solid phase testing with single antigen beads allows resolution of antibody reactivity to the level of the allele. Single antigen bead testing results at a large transplant center were reviewed to identify selective reactivity patterns of anti-HLA antibodies. Many HLA-DP antibodies were identified in the context of other HLA antibodies, but some sera had antibodies against only HLA-DP. B cell flow crossmatch testing was positive for 2 out of 9 sera with HLA-DP antibodies. Many patterns of reactivity corresponded to epitopes in hypervariable regions C and F of DPB1, but some matched epitopes in other regions or DPA1. Through analysis of single antigen bead testing from a large number of patients, we report that anti-HLA-DP antibodies predominantly recognize broadly cross-reactive epitopes. The United Network for Organ Sharing has mandated HLA-DP typing on all deceased kidney donors, and HLA-DP epitopes should be considered as the major antigens for avoidance of pre-transplant donor-specific antibodies.
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Affiliation(s)
- Daimon P Simmons
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, United States
| | - Maria L Kafetzi
- Biochemistry and Endocrinology Laboratory, Children's Hospital P&A Kyriakou, Athens, Greece
| | - Isabelle Wood
- Clinical Laboratory Division, Tissue Typing Laboratory, Brigham and Women's Hospital, Boston, MA, United States
| | - Peter C Macaskill
- Clinical Laboratory Division, Tissue Typing Laboratory, Brigham and Women's Hospital, Boston, MA, United States
| | - Edgar L Milford
- Clinical Laboratory Division, Tissue Typing Laboratory, Brigham and Women's Hospital, Boston, MA, United States; Renal Transplant Program, Division of Renal Medicine, Brigham and Women's Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Indira Guleria
- Clinical Laboratory Division, Tissue Typing Laboratory, Brigham and Women's Hospital, Boston, MA, United States; Renal Transplant Program, Division of Renal Medicine, Brigham and Women's Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States.
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32
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Shiraishi K, Okada Y, Takahashi A, Kamatani Y, Momozawa Y, Ashikawa K, Kunitoh H, Matsumoto S, Takano A, Shimizu K, Goto A, Tsuta K, Watanabe SI, Ohe Y, Watanabe Y, Goto Y, Nokihara H, Furuta K, Yoshida A, Goto K, Hishida T, Tsuboi M, Tsuchihara K, Miyagi Y, Nakayama H, Yokose T, Tanaka K, Nagashima T, Ohtaki Y, Maeda D, Imai K, Minamiya Y, Sakamoto H, Saito A, Shimada Y, Sunami K, Saito M, Inazawa J, Nakamura Y, Yoshida T, Yokota J, Matsuda F, Matsuo K, Daigo Y, Kubo M, Kohno T. Association of variations in HLA class II and other loci with susceptibility to EGFR-mutated lung adenocarcinoma. Nat Commun 2016; 7:12451. [PMID: 27501781 PMCID: PMC4980483 DOI: 10.1038/ncomms12451] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2016] [Accepted: 06/24/2016] [Indexed: 01/21/2023] Open
Abstract
Lung adenocarcinoma driven by somatic EGFR mutations is more prevalent in East Asians (30–50%) than in European/Americans (10–20%). Here we investigate genetic factors underlying the risk of this disease by conducting a genome-wide association study, followed by two validation studies, in 3,173 Japanese patients with EGFR mutation-positive lung adenocarcinoma and 15,158 controls. Four loci, 5p15.33 (TERT), 6p21.3 (BTNL2), 3q28 (TP63) and 17q24.2 (BPTF), previously shown to be strongly associated with overall lung adenocarcinoma risk in East Asians, were re-discovered as loci associated with a higher susceptibility to EGFR mutation-positive lung adenocarcinoma. In addition, two additional loci, HLA class II at 6p21.32 (rs2179920; P =5.1 × 10−17, per-allele OR=1.36) and 6p21.1 (FOXP4) (rs2495239; P=3.9 × 10−9, per-allele OR=1.19) were newly identified as loci associated with EGFR mutation-positive lung adenocarcinoma. This study indicates that multiple genetic factors underlie the risk of lung adenocarcinomas with EGFR mutations. EGFR mutations in lung adenocarcinoma are more frequent in East Asians compared to other populations. Here, the authors carry out a genome-wide association study in EGFR mutant cancers and identify loci that are associated with risk of developing this molecular subtype of cancer.
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Affiliation(s)
- Kouya Shiraishi
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan
| | - Yukinori Okada
- Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.,Department of Statistical Genetics, Osaka University Graduate School of Medicine, Yokohama 230-0045, Japan.,Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Atsushi Takahashi
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.,Omics Research Center, National Cerebral and Cardiovascular Center, Osaka 565-8565, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Yokohama 113-8510, Japan
| | - Kyota Ashikawa
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Yokohama 113-8510, Japan
| | - Hideo Kunitoh
- Department of Medical Oncology, Japanese Red Cross Medical Center, Tokyo 150-0012, Japan
| | - Shingo Matsumoto
- Division of Translational Research, Exploratory Oncology Research and Clinical Trial Center (EPOC), National Cancer Center Research Institute, Chiba 277-0882, Japan
| | - Atsushi Takano
- Center for Antibody and Vaccine Therapy, Research Hospital, Institute of Medical Science, The University of Tokyo, Tokyo 108-0071, Japan.,Department of Medical Oncology and Cancer Center, Shiga University of Medical Science, Otsu 520-2121, Japan
| | - Kimihiro Shimizu
- Department of Integrative Center of General Surgery, Gunma University Hospital, Gunma 371-8511, Japan
| | - Akiteru Goto
- Department of Cellular and Organ Pathology, Graduate School of Medicine, Akita University, Akita 010-8543, Japan
| | - Koji Tsuta
- Department of Pathology, National Cancer Center Hospital, Tokyo 104-0045, Japan.,Department of Pathology and Laboratory Medicine, Kansai Medical University, Osaka 573-1010, Japan
| | - Shun-Ichi Watanabe
- Division of Thoracic Surgery, National Cancer Centre Hospital, Tokyo 104-0045, Japan
| | - Yuichiro Ohe
- Department of Thoracic Oncology, National Cancer Center Hospital, Tokyo 104-0045, Japan
| | - Yukio Watanabe
- Division of Thoracic Surgery, National Cancer Centre Hospital, Tokyo 104-0045, Japan
| | - Yasushi Goto
- Department of Thoracic Oncology, National Cancer Center Hospital, Tokyo 104-0045, Japan
| | - Hiroshi Nokihara
- Department of Thoracic Oncology, National Cancer Center Hospital, Tokyo 104-0045, Japan
| | - Koh Furuta
- Department of Clinical Laboratories, National Cancer Center Hospital, Tokyo 104-0045, Japan.,Division of Clinical Laboratory, Kanagawa Cancer Center, Kanagawa 241-0815, Japan
| | - Akihiko Yoshida
- Department of Pathology, National Cancer Center Hospital, Tokyo 104-0045, Japan
| | - Koichi Goto
- Department of Thoracic Oncology, National Cancer Center Hospital East, Chiba 277-0882, Japan
| | - Tomoyuki Hishida
- Department of Thoracic Surgery, National Cancer Center Hospital East, Chiba 277-0882, Japan
| | - Masahiro Tsuboi
- Department of Thoracic Surgery, National Cancer Center Hospital East, Chiba 277-0882, Japan
| | - Katsuya Tsuchihara
- Division of Translational Research, Exploratory Oncology Research and Clinical Trial Center (EPOC), National Cancer Center Research Institute, Chiba 277-0882, Japan
| | - Yohei Miyagi
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Kanagawa 241-0815, Japan
| | - Haruhiko Nakayama
- Department of Thoracic Surgery, Kanagawa Cancer Center, Kanagawa 241-0815, Japan
| | - Tomoyuki Yokose
- Department of Pathology, Kanagawa Cancer Center, Kanagawa 241-0815, Japan
| | - Kazumi Tanaka
- Department of Integrative Center of General Surgery, Gunma University Hospital, Gunma 371-8511, Japan
| | - Toshiteru Nagashima
- Department of Integrative Center of General Surgery, Gunma University Hospital, Gunma 371-8511, Japan
| | - Yoichi Ohtaki
- Department of Integrative Center of General Surgery, Gunma University Hospital, Gunma 371-8511, Japan
| | - Daichi Maeda
- Department of Cellular and Organ Pathology, Graduate School of Medicine, Akita University, Akita 010-8543, Japan
| | - Kazuhiro Imai
- Department of Thoracic Surgery, Graduate School of Medicine, Akita University, Akita 010-8543, Japan
| | - Yoshihiro Minamiya
- Department of Thoracic Surgery, Graduate School of Medicine, Akita University, Akita 010-8543, Japan
| | - Hiromi Sakamoto
- Division of Genetics, National Cancer Center Research Institute, Tokyo 104-0045, Japan
| | | | - Yoko Shimada
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan
| | - Kuniko Sunami
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan.,Department of Clinical Laboratories, National Cancer Center Hospital, Tokyo 104-0045, Japan
| | - Motonobu Saito
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan
| | - Johji Inazawa
- Department of Molecular Cytogenetics, Medical Research Institute, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.,Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.,Bioresource Research Center, Tokyo Medical and Dental University, Tokyo 113-8510, Japan
| | - Yusuke Nakamura
- Department of Medicine and Department of Surgery, Center for Personalized Therapeutics, The University of Chicago, Chicago 60637, USA
| | - Teruhiko Yoshida
- Division of Genetics, National Cancer Center Research Institute, Tokyo 104-0045, Japan
| | - Jun Yokota
- Genomics and Epigenomics of Cancer Prediction Program, Institute of Predictive and Personalized Medicine of Cancer (IMPPC), 08916 Badalona, Spain
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan
| | - Keitaro Matsuo
- Division of Division of Molecular Medicine, Aichi Cancer Center Research Institute, Chikusa-ku, Nagoya 464-8681, Japan
| | - Yataro Daigo
- Center for Antibody and Vaccine Therapy, Research Hospital, Institute of Medical Science, The University of Tokyo, Tokyo 108-0071, Japan.,Department of Medical Oncology and Cancer Center, Shiga University of Medical Science, Otsu 520-2121, Japan
| | - Michiaki Kubo
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Yokohama 113-8510, Japan
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan
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33
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Li Z, Xia Y, Feng LN, Chen JR, Li HM, Cui J, Cai QQ, Sim KS, Nairismägi ML, Laurensia Y, Meah WY, Liu WS, Guo YM, Chen LZ, Feng QS, Pang CP, Chen LJ, Chew SH, Ebstein RP, Foo JN, Liu J, Ha J, Khoo LP, Chin ST, Zeng YX, Aung T, Chowbay B, Diong CP, Zhang F, Liu YH, Tang T, Tao M, Quek R, Mohamad F, Tan SY, Teh BT, Ng SB, Chng WJ, Ong CK, Okada Y, Raychaudhuri S, Lim ST, Tan W, Peng RJ, Khor CC, Bei JX. Genetic risk of extranodal natural killer T-cell lymphoma: a genome-wide association study. Lancet Oncol 2016; 17:1240-7. [PMID: 27470079 DOI: 10.1016/s1470-2045(16)30148-6] [Citation(s) in RCA: 75] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Revised: 05/05/2016] [Accepted: 05/05/2016] [Indexed: 12/22/2022]
Abstract
BACKGROUND Extranodal natural killer T-cell lymphoma (NKTCL), nasal type, is a rare and aggressive malignancy that occurs predominantly in Asian and Latin American populations. Although Epstein-Barr virus infection is a known risk factor, other risk factors and the pathogenesis of NKTCL are not well understood. We aimed to identify common genetic variants affecting individual risk of NKTCL. METHODS We did a genome-wide association study of 189 patients with extranodal NKTCL, nasal type (WHO classification criteria; cases) and 957 controls from Guangdong province, southern China. We validated our findings in four independent case-control series, including 75 cases from Guangdong province and 296 controls from Hong Kong, 65 cases and 983 controls from Guangdong province, 125 cases and 1110 controls from Beijing (northern China), and 60 cases and 2476 controls from Singapore. We used imputation and conditional logistic regression analyses to fine-map the associations. We also did a meta-analysis of the replication series and of the entire dataset. FINDINGS Associations exceeding the genome-wide significance threshold (p<5 × 10(-8)) were seen at 51 single-nucleotide polymorphisms (SNPs) mapping to the class II MHC region on chromosome 6, with rs9277378 (located in HLA-DPB1) having the strongest association with NKTCL susceptibility (p=4·21 × 10(-19), odds ratio [OR] 1·84 [95% CI 1·61-2·11] in meta-analysis of entire dataset). Imputation-based fine-mapping across the class II MHC region suggests that four aminoacid residues (Gly84-Gly85-Pro86-Met87) in near-complete linkage disequilibrium at the edge of the peptide-binding groove of HLA-DPB1 could account for most of the association between the rs9277378*A risk allele and NKTCL susceptibility (OR 2·38, p value for haplotype 2·32 × 10(-14)). This association is distinct from MHC associations with Epstein-Barr virus infection. INTERPRETATION To our knowledge, this is the first time that a genetic variant conferring an NKTCL risk is noted at genome-wide significance. This finding underlines the importance of HLA-DP antigen presentation in the pathogenesis of NKTCL. FUNDING Top-Notch Young Talents Program of China, Special Support Program of Guangdong, Specialized Research Fund for the Doctoral Program of Higher Education (20110171120099), Program for New Century Excellent Talents in University (NCET-11-0529), National Medical Research Council of Singapore (TCR12DEC005), Tanoto Foundation Professorship in Medical Oncology, New Century Foundation Limited, Ling Foundation, Singapore National Cancer Centre Research Fund, and the US National Institutes of Health (1R01AR062886, 5U01GM092691-04, and 1R01AR063759-01A1).
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Affiliation(s)
- Zheng Li
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Genome Institute of Singapore, Singapore
| | - Yi Xia
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Li-Na Feng
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Jie-Rong Chen
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Hong-Min Li
- State Key Laboratory of Molecular Oncology, Beijing, China; Department of Etiology and Carcinogenesis, Beijing Key Laboratory for Carcinogenesis and Cancer Prevention, Beijing, China; Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing Cui
- Division of Rheumatology, Immunology, and Allergy, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Qing-Qing Cai
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | | | - Maarja-Liisa Nairismägi
- Lymphoma Genomic Translational Research Laboratory, National Cancer Centre Singapore, Singapore
| | - Yurike Laurensia
- Lymphoma Genomic Translational Research Laboratory, National Cancer Centre Singapore, Singapore
| | | | - Wen-Sheng Liu
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yun-Miao Guo
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Li-Zhen Chen
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Qi-Sheng Feng
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Chi Pui Pang
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Li Jia Chen
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Soo Hong Chew
- Department of Economics, National University of Singapore, Singapore
| | - Richard P Ebstein
- Department of Psychology, National University of Singapore, Singapore
| | | | | | - Jeslin Ha
- Lymphoma Genomic Translational Research Laboratory, National Cancer Centre Singapore, Singapore
| | - Lay Poh Khoo
- Lymphoma Genomic Translational Research Laboratory, National Cancer Centre Singapore, Singapore
| | - Suk Teng Chin
- Lymphoma Genomic Translational Research Laboratory, National Cancer Centre Singapore, Singapore
| | - Yi-Xin Zeng
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Beijing Hospital, Beijing, China
| | - Tin Aung
- Singapore Eye Research Institute, Singapore
| | - Balram Chowbay
- Laboratory of Clinical Pharmacology, Division of Medical Sciences, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore; Clinical Pharmacology, SingHealth, Singapore; Office of Clinical Sciences, Duke-National University of Singapore Medical School, Singapore
| | | | - Fen Zhang
- Department of Pathology, Guangdong General Hospital, Guangzhou, China
| | - Yan-Hui Liu
- Department of Pathology, Guangdong General Hospital, Guangzhou, China
| | - Tiffany Tang
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Miriam Tao
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Richard Quek
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Farid Mohamad
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Soo Yong Tan
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore; Department of Pathology, Singapore General Hospital, Singapore; Institute of Molecular and Cell Biology, A*STAR, Singapore; Department of Pathology, University of Malaya, Kuala Lumpur, Malaysia; Department of Pathology, National University of Singapore, Singapore
| | - Bin Tean Teh
- Program in Cancer and Stem Cell Biology, Duke-National University of Singapore Medical School, Singapore; Institute of Molecular and Cell Biology, A*STAR, Singapore; Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, Singapore; Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Siok Bian Ng
- Department of Pathology, National University of Singapore, Singapore; Cancer Science Institute of Singapore, National University of Singapore, Singapore; Department of Pathology, National University Hospital, National University Health System, Singapore
| | - Wee Joo Chng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore; Department of Haematology-Oncology, National University Cancer Institute of Singapore, National University Health System, Singapore
| | - Choon Kiat Ong
- Lymphoma Genomic Translational Research Laboratory, National Cancer Centre Singapore, Singapore
| | - Yukinori Okada
- Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Soumya Raychaudhuri
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Division of Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Partners Center for Personalized Genetic Medicine, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Institute of Inflammation and Repair, University of Manchester, Manchester, UK; Rheumatology Unit, Department of Medicine, Karolinska Institutet and Karolinska University Hospital Solna, Stockholm, Sweden
| | - Soon Thye Lim
- Lymphoma Genomic Translational Research Laboratory, National Cancer Centre Singapore, Singapore; Division of Medical Oncology, National Cancer Centre Singapore, Singapore; Office of Education, Duke-National University of Singapore Medical School, Singapore
| | - Wen Tan
- State Key Laboratory of Molecular Oncology, Beijing, China; Department of Etiology and Carcinogenesis, Beijing Key Laboratory for Carcinogenesis and Cancer Prevention, Beijing, China; Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rou-Jun Peng
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Chiea Chuen Khor
- Genome Institute of Singapore, Singapore; Singapore Eye Research Institute, Singapore; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jin-Xin Bei
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Genome Institute of Singapore, Singapore; Center for Precision Medicine, Sun Yat-Sen University, Guangzhou, China.
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Lee JS, Park JK, Kim HJ, Lee HK, Song YW, Lee EB. Negatively-charged amino acids at the peptide-binding pocket of HLA-DPB1 alleles are associated with susceptibility to anti-topoisomerase I-positive systemic sclerosis. Hum Immunol 2016; 77:550-4. [PMID: 27208855 DOI: 10.1016/j.humimm.2016.05.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Revised: 04/19/2016] [Accepted: 05/17/2016] [Indexed: 01/07/2023]
Abstract
We investigated shared characteristics of amino acid sequences in the at risk HLA-DPB1 alleles in systemic sclerosis (SSc). Amino acid sequences and their structural features of HLA-DP molecules in 127 Korean SSc patients and 548 healthy Korean controls were analyzed with a focus on known HLA-DP binding motifs. The binding grooves containing more negatively-charged triplets (NCT) had higher odds ratios of anti-topoisomerase I antibody (ATA)-positive SSc. In particular, the co-existence of a NCT at position 82-85 and more than one additional NCT were critical for increased risk of ATA-positive SSc. Molecular dynamic simulations showed that the model peptide with positive charge from topoisomerase I fits more closely into HLA-DP alleles possessing more NCTs. ATA-positive SSc patients share NCTs at the peptide-binding groove of HLA-DPB1 molecules.
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Affiliation(s)
- Jeong Seok Lee
- Division of Rheumatology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jin Kyun Park
- Division of Rheumatology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | | | - Hyung Ki Lee
- Dong-A Pharmaceutical Co, Seoul, Republic of Korea
| | - Yeong Wook Song
- Division of Rheumatology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Eun Bong Lee
- Division of Rheumatology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
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Functional distance between recipient and donor HLA-DPB1 determines nonpermissive mismatches in unrelated HCT. Blood 2016; 128:120-9. [PMID: 27162243 DOI: 10.1182/blood-2015-12-686238] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Accepted: 04/28/2016] [Indexed: 12/25/2022] Open
Abstract
The role of HLA amino acid (AA) polymorphism for the outcome of hematopoietic cell transplantation (HCT) is controversial, in particular for HLA class II. Here, we investigated this question in nonpermissive HLA-DPB1 T-cell epitope (TCE) mismatches reflected by numerical functional distance (FD) scores, assignable to all HLA-DPB1 alleles based on the combined impact of 12 polymorphic AAs. We calculated the difference in FD scores (ΔFD) of mismatched HLA-DPB1 alleles in patients and their 10/10 HLA-matched unrelated donors of 379 HCTs performed at our center for acute leukemia or myelodysplastic syndrome. Receiver-operator curve-based stratification into 2 ΔFD subgroups showed a significantly higher percentage of nonpermissive TCE mismatches for ΔFD >2.665, compared with ΔFD ≤2.665 (88% vs 25%, P < .0001). In multivariate analysis, ΔFD >2.665 was significantly associated with overall survival (hazard ratio [HR], 1.40; 95% confidence interval [CI], 1.05-1.87; P < .021) and event-free survival (HR, 1.39; 95% CI, 1.05-1.82; P < .021), compared with ΔFD ≤2.665. These associations were stronger than those observed for TCE mismatches. There was a marked but not statistically significant increase in the hazards of relapse and nonrelapse mortality in the high ΔFD subgroup, whereas no differences were observed for acute and chronic graft-versus-host disease. Seven nonconservative AA substitutions in peptide-binding positions had a significantly stronger impact on ΔFD compared with 5 others (P = .0025), demonstrating qualitative differences in the relative impact of AA polymorphism in HLA-DPB1. The novel concept of ΔFD sheds new light onto nonpermissive HLA-DPB1 mismatches in unrelated HCT.
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Zhu M, Dai J, Wang C, Wang Y, Qin N, Ma H, Song C, Zhai X, Yang Y, Liu J, Liu L, Li S, Liu J, Yang H, Zhu F, Shi Y, Shen H, Jin G, Zhou W, Hu Z. Fine mapping the MHC region identified four independent variants modifying susceptibility to chronic hepatitis B in Han Chinese. Hum Mol Genet 2016; 25:1225-32. [DOI: 10.1093/hmg/ddw003] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Accepted: 01/05/2016] [Indexed: 02/06/2023] Open
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HLA-DP is the cervical cancer susceptibility loci among women infected by high-risk human papillomavirus: potential implication for triage of human papillomavirus-positive women. Tumour Biol 2015; 37:8019-25. [DOI: 10.1007/s13277-015-4673-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2015] [Accepted: 12/16/2015] [Indexed: 02/06/2023] Open
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Dieli-Crimi R, Cénit MC, Núñez C. The genetics of celiac disease: A comprehensive review of clinical implications. J Autoimmun 2015; 64:26-41. [DOI: 10.1016/j.jaut.2015.07.003] [Citation(s) in RCA: 90] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Accepted: 07/01/2015] [Indexed: 02/09/2023]
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Matsuura K, Isogawa M, Tanaka Y. Host genetic variants influencing the clinical course of hepatitis B virus infection. J Med Virol 2015; 88:371-9. [PMID: 26255971 DOI: 10.1002/jmv.24350] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/05/2015] [Indexed: 12/22/2022]
Abstract
The clinical course of hepatitis B virus (HBV) infection greatly differs in individuals. Various viral, host, and environmental factors influence the natural history of HBV infection. Recent genome-wide association studies identified several host genetic factors influencing the clinical course of HBV infection. Genetic variations in HLA class II loci were significantly associated with susceptibility to persistent HBV infection. Other polymorphisms in or near the genes EHMT2, TCF19, and HLA-C, located near HLA class II loci, and UBE2L3 were also associated with persistent HBV infection. Meanwhile, polymorphisms in KIF1B, GRIK1, and STAT4 were associated with HBV-related hepatocellular carcinoma (HCC). Interestingly, HLA class II genetic variations were strongly associated with not only persistent HBV infection, but also disease progression and HBV-related HCC in chronic hepatitis B. Understanding the various genetic factors associated with the clinical course of HBV infection is essential for personalized treatment and surveillance of disease progression and HCC.
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Affiliation(s)
- Kentaro Matsuura
- Department of Virology and Liver Unit, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.,Department of Gastroenterology and Metabolism, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.,Infectious Disease and Immunogenetics Section, Department of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland
| | - Masanori Isogawa
- Department of Virology and Liver Unit, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Yasuhito Tanaka
- Department of Virology and Liver Unit, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
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Human Leukocyte Antigen Class II Alleles Are Associated with Hepatitis C Virus Natural Susceptibility in the Chinese Population. Int J Mol Sci 2015. [PMID: 26213920 PMCID: PMC4581170 DOI: 10.3390/ijms160816792] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Human leukocyte antigen (HLA) class II molecule influences host antigen presentation and anti-viral immune response. The aim of this study was to investigate whether single nucleotide polymorphisms (SNPs) within HLA class II gene were associated with different clinical outcomes of hepatitis C virus (HCV) infection. Three HLA class II SNPs (rs3077, rs2395309 and rs2856718) were genotyped by TaqMan assay among Chinese population, including 350 persistent HCV infection patients, 194 spontaneous viral clearance subjects and 973 HCV-uninfected control subjects. After logistic regression analysis, the results indicated that the rs2856718 TC genotype was significantly associated with the protective effect of the HCV natural susceptibility (adjusted OR: 0.712, 95% CI: 0.554–0.914) when compared with reference TT genotype, and this remained significant after false discovery rate (FDR) correction (p = 0.024). Moreover, the protective effect of rs2856718 was observed in dominant genetic models (adjusted OR: 0.726, 95% CI: 0.574–0.920), and this remained significant after FDR correction (p = 0.024). In stratified analysis, a significant decreased risk was found in rs2856718C allele in the male subgroup (adjusted OR: 0.778, 95% CI: 0.627–0.966) and hemodialysis subgroup (adjusted OR: 0.713, 95% CI: 0.552–0.921). Our results indicated that the genetic variations of rs2856718 within the HLA-DQ gene are associated with the natural susceptibility to HCV infection among the Chinese population.
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Liao Y, Cai B, Li Y, Chen J, Ying B, Tao C, Zhao M, Ba Z, Zhang Z, Wang L. Association of HLA-DP/DQ, STAT4 and IL-28B variants with HBV viral clearance in Tibetans and Uygurs in China. Liver Int 2015; 35:886-96. [PMID: 25041342 DOI: 10.1111/liv.12643] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2014] [Accepted: 07/15/2014] [Indexed: 02/05/2023]
Abstract
BACKGROUND & AIMS Several genome-wide association studies have revealed that HLA-DP/DQ, STAT4 and IL-28B associated with liver diseases. But because of population heterogeneity, different races would have different causative polymorphisms. Therefore, in this study, we included Chinese Tibetans and Uygurs to examine the roles of these genes on HBV natural clearance. METHODS A total of 1341 subjects including 908 Tibetans and 433 Uygurs were recruited. Seven single nucleotide polymorphisms (SNP) were genotyped. RESULTS HLA-DP/DQ polymorphisms associated with HBV natural clearance in both ethnicities (Tibetans, rs3077, OR = 0.61, 95% CI = 0.46-0.82; rs9277535, OR = 0.56, 95% CI = 0.41-0.75; rs7453920, OR = 0.64, 95%CI = 0.47-0.85; Uygurs, rs3077, OR = 0.48, 95% CI = 0.24-0.96; rs9277535, OR = 0.43, 95% CI = 0.20-0.91; rs7453920, OR = 0.62, 95% CI = 0.39-0.99), whereas no significant association was observed between IL-28B with HBV natural clearance in neither ethnicities (P > 0.05). STAT4 rs7574865 seemed to be Tibetan specific in HBV natural clearance (OR = 0.76, 95% CI = 0.58-0.99). Moreover, in Tibetan patients, HLA-DQ rs7453920 GG had a higher frequency in HBeAg positive patients (P = 0.032) and STAT4 rs7574865 GG genotype appeared more frequently in Genotype C virus infected patients (P = 0.005). In addition, Uygurs have higher frequencies of HLA-DP/DQ protective alleles (72.5% for rs3077, 76.6% for rs9277535 and 26.8% for rs7453920) than Tibetans (51.7% for rs3077, 52.5% for rs9277535 and 18.5% for rs7453920)(all P < 0.05), and a lower prevalence of HBV infection as previously reported. CONCLUSIONS HLA-DP/DQ but not IL-28B polymorphisms correlate with HBV natural clearance, irrespective of race, and HLA-DP/DQ would be causative genes attributing to varying prevalence in different regions. STAT4 rs7574865 seemed to be population specific in Tibetans and it might synergistically interact with virus contributing to disease progression.
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Affiliation(s)
- Yun Liao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
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Crivello P, Zito L, Sizzano F, Zino E, Maiers M, Mulder A, Toffalori C, Naldini L, Ciceri F, Vago L, Fleischhauer K. The Impact of Amino Acid Variability on Alloreactivity Defines a Functional Distance Predictive of Permissive HLA-DPB1 Mismatches in Hematopoietic Stem Cell Transplantation. Biol Blood Marrow Transplant 2015; 21:233-41. [DOI: 10.1016/j.bbmt.2014.10.017] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2014] [Accepted: 10/19/2014] [Indexed: 01/11/2023]
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Liao Y, Cai B, Li Y, Chen J, Tao C, Huang H, Wang L. Association of HLA-DP/DQ and STAT4 polymorphisms with HBV infection outcomes and a mini meta-analysis. PLoS One 2014; 9:e111677. [PMID: 25365208 PMCID: PMC4218798 DOI: 10.1371/journal.pone.0111677] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2014] [Accepted: 09/26/2014] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Though HLA-DP/DQ is regarded to associate with HBV susceptibility and HBV natural clearance, its role in hepatocellular carcinoma (HCC) development is obscure. And the role of STAT4 in HBV susceptibility and clearance as well as HCC development is still contentious. Therefore, we conducted this study, aiming to clarify these obscure relationships. METHODS We recruited 1312 Chinese Han subjects including healthy controls, HBV carriers and HCC patients in the experiment stage. The meta-analysis included 3467 HCC patients and 5821 HBV carriers to appraise the association with HCC development. RESULTS Consistent with previous studies, HLA-DP/DQ associated with HBV susceptibility and HBV natural clearance (p<0.05). However, the experiment showed that HLA-DP rs3077, rs9277535 and rs7453920 did not associate with HCC development (dominant model, rs3077, OR = 0.86, 95%CI = 0.62-1.18; rs9277535, OR = 0.94, 95%CI = 0.68-1.30; rs7453920, OR = 0.75, 95%CI = 0.44-1.27). Meta-analysis again consolidated this conclusion (allele model, rs3077, OR = 0.94, 95%CI = 0.87-1.02; rs9277535, OR = 1.04, 95%CI = 0.97-1.11; rs7453920, OR = 0.89, 95%CI = 0.76-1.02). As for STAT4 rs7574865, we did not find any significant association with HBV susceptibility (OR = 0.91, 95%CI = 0.66-1.26) or HBV natural clearance (OR = 1.13, 95%CI = 0.86-1.49). Moreover, current data failed to acquire positive connection of rs7574865 with HCC development (experiment, OR = 0.86, 95%CI = 0.62-1.19; meta-analysis, OR = 0.87, 95%CI = 0.74-1.03), which may be due to the small sample size. CONCLUSIONS HLA-DP/DQ polymorphisms (rs3077, rs9277535, rs7453920) did not associate with HCC development, but did correlate with HBV susceptibility and HBV natural clearance. STAT4 rs7574865 seemed not to correlate with HBV susceptibility or natural clearance. And it seemed rather ambiguous in its role on HCC development at present.
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Affiliation(s)
- Yun Liao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Bei Cai
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Yi Li
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Jie Chen
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Chuanmin Tao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Hengjian Huang
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Lanlan Wang
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
- * E-mail:
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Duquesnoy RJ, Marrari M, Tambur AR, Mulder A, da Mata Sousa LCD, da Silva AS, do Monte SJ. First report on the antibody verification of HLA-DR, HLA-DQ and HLA-DP epitopes recorded in the HLA Epitope Registry. Hum Immunol 2014; 75:1097-103. [DOI: 10.1016/j.humimm.2014.09.012] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2014] [Revised: 09/25/2014] [Accepted: 09/25/2014] [Indexed: 01/07/2023]
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Skibola CF, Berndt SI, Vijai J, Conde L, Wang Z, Yeager M, de Bakker PIW, Birmann BM, Vajdic CM, Foo JN, Bracci PM, Vermeulen RCH, Slager SL, de Sanjose S, Wang SS, Linet MS, Salles G, Lan Q, Severi G, Hjalgrim H, Lightfoot T, Melbye M, Gu J, Ghesquières H, Link BK, Morton LM, Holly EA, Smith A, Tinker LF, Teras LR, Kricker A, Becker N, Purdue MP, Spinelli JJ, Zhang Y, Giles GG, Vineis P, Monnereau A, Bertrand KA, Albanes D, Zeleniuch-Jacquotte A, Gabbas A, Chung CC, Burdett L, Hutchinson A, Lawrence C, Montalvan R, Liang L, Huang J, Ma B, Liu J, Adami HO, Glimelius B, Ye Y, Nowakowski GS, Dogan A, Thompson CA, Habermann TM, Novak AJ, Liebow M, Witzig TE, Weiner GJ, Schenk M, Hartge P, De Roos AJ, Cozen W, Zhi D, Akers NK, Riby J, Smith MT, Lacher M, Villano DJ, Maria A, Roman E, Kane E, Jackson RD, North KE, Diver WR, Turner J, Armstrong BK, Benavente Y, Boffetta P, Brennan P, Foretova L, Maynadie M, Staines A, McKay J, Brooks-Wilson AR, Zheng T, Holford TR, Chamosa S, Kaaks R, Kelly RS, Ohlsson B, Travis RC, Weiderpass E, Clavel J, Giovannucci E, Kraft P, Virtamo J, et alSkibola CF, Berndt SI, Vijai J, Conde L, Wang Z, Yeager M, de Bakker PIW, Birmann BM, Vajdic CM, Foo JN, Bracci PM, Vermeulen RCH, Slager SL, de Sanjose S, Wang SS, Linet MS, Salles G, Lan Q, Severi G, Hjalgrim H, Lightfoot T, Melbye M, Gu J, Ghesquières H, Link BK, Morton LM, Holly EA, Smith A, Tinker LF, Teras LR, Kricker A, Becker N, Purdue MP, Spinelli JJ, Zhang Y, Giles GG, Vineis P, Monnereau A, Bertrand KA, Albanes D, Zeleniuch-Jacquotte A, Gabbas A, Chung CC, Burdett L, Hutchinson A, Lawrence C, Montalvan R, Liang L, Huang J, Ma B, Liu J, Adami HO, Glimelius B, Ye Y, Nowakowski GS, Dogan A, Thompson CA, Habermann TM, Novak AJ, Liebow M, Witzig TE, Weiner GJ, Schenk M, Hartge P, De Roos AJ, Cozen W, Zhi D, Akers NK, Riby J, Smith MT, Lacher M, Villano DJ, Maria A, Roman E, Kane E, Jackson RD, North KE, Diver WR, Turner J, Armstrong BK, Benavente Y, Boffetta P, Brennan P, Foretova L, Maynadie M, Staines A, McKay J, Brooks-Wilson AR, Zheng T, Holford TR, Chamosa S, Kaaks R, Kelly RS, Ohlsson B, Travis RC, Weiderpass E, Clavel J, Giovannucci E, Kraft P, Virtamo J, Mazza P, Cocco P, Ennas MG, Chiu BCH, Fraumeni JF, Nieters A, Offit K, Wu X, Cerhan JR, Smedby KE, Chanock SJ, Rothman N. Genome-wide association study identifies five susceptibility loci for follicular lymphoma outside the HLA region. Am J Hum Genet 2014; 95:462-71. [PMID: 25279986 PMCID: PMC4185120 DOI: 10.1016/j.ajhg.2014.09.004] [Show More Authors] [Citation(s) in RCA: 83] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2014] [Accepted: 09/10/2014] [Indexed: 11/20/2022] Open
Abstract
Genome-wide association studies (GWASs) of follicular lymphoma (FL) have previously identified human leukocyte antigen (HLA) gene variants. To identify additional FL susceptibility loci, we conducted a large-scale two-stage GWAS in 4,523 case subjects and 13,344 control subjects of European ancestry. Five non-HLA loci were associated with FL risk: 11q23.3 (rs4938573, p = 5.79 × 10(-20)) near CXCR5; 11q24.3 (rs4937362, p = 6.76 × 10(-11)) near ETS1; 3q28 (rs6444305, p = 1.10 × 10(-10)) in LPP; 18q21.33 (rs17749561, p = 8.28 × 10(-10)) near BCL2; and 8q24.21 (rs13254990, p = 1.06 × 10(-8)) near PVT1. In an analysis of the HLA region, we identified four linked HLA-DRβ1 multiallelic amino acids at positions 11, 13, 28, and 30 that were associated with FL risk (pomnibus = 4.20 × 10(-67) to 2.67 × 10(-70)). Additional independent signals included rs17203612 in HLA class II (odds ratio [OR(per-allele)] = 1.44; p = 4.59 × 10(-16)) and rs3130437 in HLA class I (OR(per-allele) = 1.23; p = 8.23 × 10(-9)). Our findings further expand the number of loci associated with FL and provide evidence that multiple common variants outside the HLA region make a significant contribution to FL risk.
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Affiliation(s)
- Christine F Skibola
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, Birmingham, AL 35233, USA; Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA 94720, USA.
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Joseph Vijai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Lucia Conde
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, Birmingham, AL 35233, USA; Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA 94720, USA
| | - Zhaoming Wang
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Gaithersburg, MD 20877, USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Gaithersburg, MD 20877, USA
| | - Paul I W de Bakker
- Department of Medical Genetics and of Epidemiology, University Medical Center Utrecht, Utrecht 3584 CG, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht 3584 CX, the Netherlands
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Claire M Vajdic
- Prince of Wales Clinical School, University of New South Wales, Sydney, NSW 2052, Australia
| | - Jia-Nee Foo
- Human Genetics, Genome Institute of Singapore, Singapore 138672, Singapore
| | - Paige M Bracci
- Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA 94118, USA
| | - Roel C H Vermeulen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht 3584 CX, the Netherlands; Institute for Risk Assessment Sciences, Utrecht University, Utrecht 3508 TD, the Netherlands
| | - Susan L Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Silvia de Sanjose
- Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona 8907, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Barcelona 8036, Spain
| | - Sophia S Wang
- Department of Cancer Etiology, City of Hope Beckman Research Institute, Duarte, CA 91030, USA
| | - Martha S Linet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Gilles Salles
- Department of Hematology, Hospices Civils de Lyon, Pierre benite Cedex 69495, France; Department of Hematology, Université Lyon-1, Pierre benite Cedex 69495, France; Laboratoire de Biologie Moléculaire de la Cellule UMR 5239, Centre National de la Recherche Scientifique, Pierre benite Cedex 69495, France
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Gianluca Severi
- Human Genetics Foundation, Turin 10126, Italy; Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC 3053, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Carlton, VIC 3010, Australia
| | - Henrik Hjalgrim
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen 2300, Denmark
| | - Tracy Lightfoot
- Department of Health Sciences, University of York, York YO10 5DD, UK
| | - Mads Melbye
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen 2300, Denmark; Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Jian Gu
- Department of Epidemiology, M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Hervé Ghesquières
- Laboratoire de Biologie Moléculaire de la Cellule UMR 5239, Centre National de la Recherche Scientifique, Pierre benite Cedex 69495, France; Department of Hematology, Centre Léon Bérard, Lyon 69008, France
| | - Brian K Link
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, IA 52242, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Elizabeth A Holly
- Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA 94118, USA
| | - Alex Smith
- Department of Health Sciences, University of York, York YO10 5DD, UK
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98117, USA
| | - Lauren R Teras
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Anne Kricker
- Sydney School of Public Health, The University of Sydney, Sydney, NSW 2006, Australia
| | - Nikolaus Becker
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg 69120, Germany
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - John J Spinelli
- Cancer Control Research, BC Cancer Agency, Vancouver, BC V5Z 1L3, Canada; School of Population and Public Health, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | - Yawei Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT 06520, USA
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC 3053, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Carlton, VIC 3010, Australia
| | - Paolo Vineis
- Human Genetics Foundation, Turin 10126, Italy; MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Alain Monnereau
- Environmental Epidemiology of Cancer Group, Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Villejuif Cedex 94807, France; UMRS 1018, Université Paris Sud, Villejuif Cedex 94807, France; Registre des hémopathies malignes de la Gironde, Institut Bergonié, Bordeaux Cedex 33076, France
| | - Kimberly A Bertrand
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, New York University School of Medicine, New York, NY 10016, USA; Cancer Institute, New York University School of Medicine, New York, NY 10016, USA
| | - Attilio Gabbas
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Monserrato, Cagliari 09042, Italy
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Laurie Burdett
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Gaithersburg, MD 20877, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Gaithersburg, MD 20877, USA
| | | | | | - Liming Liang
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA; Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA
| | - Jinyan Huang
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
| | - Baoshan Ma
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA; College of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning Province 116026, China
| | - Jianjun Liu
- Human Genetics, Genome Institute of Singapore, Singapore 138672, Singapore
| | - Hans-Olov Adami
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Bengt Glimelius
- Department of Oncology and Pathology, Karolinska Institutet, Karolinska University Hospital Solna, Stockholm 17176, Sweden; Department of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala 75105, Sweden
| | - Yuanqing Ye
- Department of Epidemiology, M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | | | - Ahmet Dogan
- Departments of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | | | | | - Anne J Novak
- Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Mark Liebow
- Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Thomas E Witzig
- Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - George J Weiner
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, IA 52242, USA
| | - Maryjean Schenk
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, MI 48201, USA
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Anneclaire J De Roos
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98117, USA; Department of Environmental and Occupational Health, Drexel University School of Public Health, Philadelphia, PA 19104, USA
| | - Wendy Cozen
- Department of Preventive Medicine, USC Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Norris Comprehensive Cancer Center, USC Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Degui Zhi
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Nicholas K Akers
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA 94720, USA
| | - Jacques Riby
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, Birmingham, AL 35233, USA; Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA 94720, USA
| | - Martyn T Smith
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA 94720, USA
| | - Mortimer Lacher
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Danylo J Villano
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Ann Maria
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Eve Roman
- Department of Health Sciences, University of York, York YO10 5DD, UK
| | - Eleanor Kane
- Department of Health Sciences, University of York, York YO10 5DD, UK
| | - Rebecca D Jackson
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, OH 43210, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Jenny Turner
- Department of Anatomical Pathology, Australian School of Advanced Medicine, Macquarie University, Sydney, NSW 2109, Australia; Department of Histopathology, Douglass Hanly Moir Pathology, Macquarie Park, NSW 2113, Australia
| | - Bruce K Armstrong
- Sydney School of Public Health, The University of Sydney, Sydney, NSW 2006, Australia
| | - Yolanda Benavente
- Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona 8907, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Barcelona 8036, Spain
| | - Paolo Boffetta
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Paul Brennan
- Group of Genetic Epidemiology, Section of Genetics, International Agency for Research on Cancer, Lyon 69372, France
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute and MF MU, Brno 656 53, Czech Republic
| | - Marc Maynadie
- EA 4184, Registre des Hémopathies Malignes de Côte d'Or, University of Burgundy and Dijon University Hospital, Dijon 21070, France
| | - Anthony Staines
- School of Nursing and Human Sciences, Dublin City University, Dublin 9, Ireland
| | - James McKay
- Genetic Cancer Susceptibility Group, Section of Genetics, International Agency for Research on Cancer, Lyon 69372, France
| | - Angela R Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 1L3, Canada; Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
| | - Tongzhang Zheng
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT 06520, USA
| | - Theodore R Holford
- Department of Biostatistics, Yale School of Public Health, New Haven, CT 06520, USA
| | - Saioa Chamosa
- Health Department, BioDonostia Research Institute, Basque Region 20014, Spain
| | - Rudolph Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg 69120, Germany
| | - Rachel S Kelly
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK; Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
| | - Bodil Ohlsson
- Department of Clinical Sciences, Division of Internal Medicine, Skåne University Hospital, Lund University, Malmö 205 02, Sweden
| | - Ruth C Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford OX3 7LF, UK
| | - Elisabete Weiderpass
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden; Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, Breivika 9037, Norway; Cancer Registry of Norway, Oslo 0304, Norway; Department of Genetic Epidemiology, Folkhalsan Research Center, Helsinki 00250, Finland
| | - Jacqueline Clavel
- Environmental Epidemiology of Cancer Group, Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Villejuif Cedex 94807, France; UMRS 1018, Université Paris Sud, Villejuif Cedex 94807, France
| | - Edward Giovannucci
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA; Department of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA; Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA
| | - Jarmo Virtamo
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Patrizio Mazza
- Department of Hematology, Ospedale Nord, Taranto 74100, Italy
| | - Pierluigi Cocco
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Monserrato, Cagliari 09042, Italy
| | - Maria Grazia Ennas
- Department of Biomedical Science, University of Cagliari, Monserrato, Cagliari 09042, Italy
| | - Brian C H Chiu
- Department of Health Studies, University of Chicago, Chicago, IL 60637, USA
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Alexandra Nieters
- Center for Chronic Immunodeficiency, University Medical Center Freiburg, Freiburg, Baden-Württemberg 79108, Germany
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Xifeng Wu
- Department of Epidemiology, M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - James R Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Karin E Smedby
- Department of Medicine Solna, Karolinska Institutet, Stockholm 17176, Sweden
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
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Cheng L, Sun X, Tan S, Tan W, Dan Y, Zhou Y, Mao Q, Deng G. Effect of HLA-DP and IL28B gene polymorphisms on response to interferon treatment in hepatitis B e-antigen seropositive chronic hepatitis B patients. Hepatol Res 2014; 44:1000-7. [PMID: 24298935 DOI: 10.1111/hepr.12284] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2013] [Revised: 11/05/2013] [Accepted: 11/26/2013] [Indexed: 12/20/2022]
Abstract
AIM The reason why the majority of chronic hepatitis B (CHB) patients do not respond to conventional interferon (IFN)-α or pegylated interferon (PEG IFN) treatment has not been formally demonstrated. The aim of this study was to investigate the association between single nucleotide polymorphisms (SNPs) and response to IFN-α or PEG IFN therapy in Chinese patients with CHB. METHODS Four SNPs among the HLA-DPA1, HLA-DPB1 (rs3077 and rs9277535) and IL28B (rs12979860 and rs8099917) regions were genotyped using the MGB-TaqMan SNP genotyping assay in 144 hepatitis B e-antigen (HBeAg) seropositive CHB patients who had received 6-12 months IFN-α or PEG IFN treatment. Patients were classified as responders who achieved any of the four targets: (i) the loss of HBeAg; (ii) anti-HBe seroconversion; (iii) suppression of hepatitis B virus (HBV) DNA level to below 3 log of baseline; and (iv) alanine aminotransferase normalization. RESULTS By multivariate analysis at 6 months of therapy and 6 months post-therapy, the results showed that rs3077-GG genotype was independently associated with higher HBeAg loss rate and anti-HBe seroconversion rate, and rs9277535-GG genotype was independently associated with decline of HBV DNA level. However, we did not observe the significant association between SNP near IL28B and the response to IFN-α or PEG IFN treatment. CONCLUSION This study suggested that HLA-DPA1 and HLA-DPB1 variants were significantly associated with HBeAg loss, anti-HBe seroconversion and HBV DNA level suppression in HBeAg seropositive CHB patients who received IFN-α or PEG IFN treatment.
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Affiliation(s)
- Lin Cheng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University, Chongqing, China; Chongqing Key Laboratory of Infectious Diseases, Chongqing, China
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Xu X, Yue M, Jiang L, Deng X, Zhang Y, Zhang Y, Zhu D, Xiao W, Zhou Z, Yao W, Kong J, Yu X, Wei J. Genetic variants in human leukocyte antigen-DP influence both hepatitis C virus persistence and hepatitis C virus F protein generation in the Chinese Han population. Int J Mol Sci 2014; 15:9826-43. [PMID: 24897020 PMCID: PMC4100124 DOI: 10.3390/ijms15069826] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2014] [Revised: 05/19/2014] [Accepted: 05/21/2014] [Indexed: 12/16/2022] Open
Abstract
Chronic hepatitis C is a serious liver disease that often results in cirrhosis or hepatocellular carcinoma. The aim of this study was to assess the association of human leukocyte antigen-DP (HLA-DP) variants with risk of chronic hepatitis C virus (HCV) or anti-F antibody generation. We selected two single nucleotide polymorphisms (SNPs) in a region including HLA-DPA1 (rs3077) and HLA-DPB1 (rs9277534) and genotyped SNPs in 702 cases and 342 healthy controls from the Chinese population using TaqMan SNP genotyping assay. Moreover, the exon 2 of the HLA-DPA1 and HLA-DPB1 genes were amplified and determined by sequencing-based typing (SBT). The results showed that rs3077 significantly increased the risk of chronic HCV infection in additive models and dominant models (odds ratio (OR) = 1.32 and 1.53). The rs3077 also contributed to decrease the risk of anti-F antibody generation in additive models and dominant models (OR = 0.46 and 0.56). Subsequent analyses revealed the risk haplotypes (DPA1*0103-DPB1*0501 and DPA1*0103-DPB1*0201) and protective haplotypes (DPA1*0202-DPB1*0501 and DPA1*0202-DPB1*0202) to chronic HCV infection. Moreover, we also found that the haplotype of DPA1*0103-DPB1*0201 and DPA1*0202-DPB1*0202 were associated with the anti-F antibody generation. Our findings show that genetic variants in HLA-DP gene are associated with chronic HCV infection and anti-F antibody generation.
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Affiliation(s)
- Xiaodong Xu
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Nanjing Medical University, Nanjing 210029, China.
| | - Ming Yue
- School of Life Science and Technology, China Pharmaceutical University, Nanjing 210009, China.
| | - Longfeng Jiang
- Department of Infectious Diseases, the First Affiliated Hospital with Nanjing Medical University, Nanjing 210029, China.
| | - Xiaozhao Deng
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Nanjing Medical University, Nanjing 210029, China.
| | - Yongxiang Zhang
- Department of Infectious Diseases, the First Affiliated Hospital with Nanjing Medical University, Nanjing 210029, China.
| | - Yun Zhang
- Institute of Disease Control and Prevention, Huadong Research Institute for Medicine and Biotechnics, Nanjing 210002, China.
| | - Danyan Zhu
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Nanjing Medical University, Nanjing 210029, China.
| | - Wen Xiao
- School of Life Science and Technology, China Pharmaceutical University, Nanjing 210009, China.
| | - Zhenxian Zhou
- Department of Clinical Laboratory, Nanjing Second Hospital, Nanjing 210003, China.
| | - Wenjuan Yao
- Department of Pharmacology, Nantong University Medical College, Nantong 226019, China.
| | - Jing Kong
- School of Life Science and Chemical Engineering, Huaiyin Institute of Technology, Huaian 223003, China.
| | - Xiaojie Yu
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Nanjing Medical University, Nanjing 210029, China.
| | - Juan Wei
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Nanjing Medical University, Nanjing 210029, China.
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Jiang X, Ma Y, Cui W, Li MD. Association of variants in HLA-DP on chromosome 6 with chronic hepatitis B virus infection and related phenotypes. Amino Acids 2014; 46:1819-26. [DOI: 10.1007/s00726-014-1767-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2014] [Accepted: 04/21/2014] [Indexed: 01/07/2023]
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49
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Allorecognition of HLA-DP by CD4+ T cells is affected by polymorphism in its alpha chain. Mol Immunol 2014; 59:19-29. [DOI: 10.1016/j.molimm.2013.12.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2013] [Revised: 11/18/2013] [Accepted: 12/27/2013] [Indexed: 11/21/2022]
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Chen D, Gyllensten U. Systematic investigation of contribution of genetic variation in the HLA-DP region to cervical cancer susceptibility. Carcinogenesis 2014; 35:1765-9. [DOI: 10.1093/carcin/bgu096] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
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