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Fairhurst-Hunter Z, Walters RG, Zink A, Lin K, Guo Y, Yu C, Lv J, Li L, Freitag DF, Chen Z, Millwood IY. Investigation into the Health Effects of Reduced Chymase Function Using Predicted Loss-of-Function Mutations in CMA1. J Cardiovasc Transl Res 2022; 15:1474-1476. [PMID: 35513594 PMCID: PMC7613892 DOI: 10.1007/s12265-022-10261-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 04/13/2022] [Indexed: 12/16/2022]
Abstract
Tissue remodelling and fibrosis which occur in response to injury play a central role in the development of many diseases. Chymase is a key enzyme believed to mediate these pathological processes. As such, chymase inhibitors have been under active development for the treatment of a number of conditions. To investigate the impact of reduced chymase function, we constructed a genetic score from two pLoF mutations in the gene encoding chymase and tested its association with diseases and biomarkers. Our study found no association between the genetically-predicted reduced chymase function score and heart failure, chronic kidney disease or other predefined conditions. We additionally found no association of the score with any physical measurements or biomarkers. Our results provide no evidence in support of chymase inhibition as a novel therapeutic strategy for the treatment or prevention of heart failure, chronic kidney disease or major cardiovascular events, as previously proposed.
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Affiliation(s)
- Zammy Fairhurst-Hunter
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, University of Oxford, Old Road Campus, Roosevelt Drive, Oxford, OX3 7LF, UK
| | - Robin G Walters
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, University of Oxford, Old Road Campus, Roosevelt Drive, Oxford, OX3 7LF, UK
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Alexander Zink
- Bayer AG, Research and Development, Pharmaceuticals, Biomedical Data Science II (Wup/Ber), Wuppertal, Germany
| | - Kuang Lin
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, University of Oxford, Old Road Campus, Roosevelt Drive, Oxford, OX3 7LF, UK
| | - Yu Guo
- Chinese Academy of Medical Sciences, Building C, NCCD, Shilongxi Road, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, China
| | - Daniel F Freitag
- Bayer AG, Research and Development, Pharmaceuticals, Biomedical Data Science II (Wup/Ber), Wuppertal, Germany
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, University of Oxford, Old Road Campus, Roosevelt Drive, Oxford, OX3 7LF, UK
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Iona Y Millwood
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, University of Oxford, Old Road Campus, Roosevelt Drive, Oxford, OX3 7LF, UK.
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
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Rajabi F, Jabalameli N, Rezaei N. The Concept of Immunogenetics. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1367:1-17. [DOI: 10.1007/978-3-030-92616-8_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Shi S, Ye S, Mao J, Ru Y, Lu Y, Wu X, Xu M, Zhu T, Wang Y, Chen Y, Tang X, Xi Y. CMA1 is potent prognostic marker and associates with immune infiltration in gastric cancer. Autoimmunity 2020; 53:210-217. [PMID: 32129682 DOI: 10.1080/08916934.2020.1735371] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Background: Chymase 1 (CMA1), a gene known to be expressed in mast cells (MCs), is largely linked to immunity. However, the relationship between CMA1 and prognosis of multiple tumours and tumour-infiltrating lymphocytes (TILs) remains elusive.Methods: The differential expressions of CMA1 in different tumours and their corresponding normal tissues were evaluated via exploring Tumour Immune Estimation Resource (TIMER) and Oncomine database; the correlation within expression level of CMA1 and outcome of cancer patients was evaluated via Kaplan-Meier plotter and Gene Expression Profiling Interactive Analysis (GEPIA) database; the correlation between CMA1 and tumour immune cell infiltration was further investigated by TIMER; additionally, the correlation between CMA1 and gene signature pattern of immune infiltration were checked using TIMER and GEPIA.Results: There were significant differences in CMA1 expression levels between gastric cancer (GC) tissues and adjacent normal tissues. The high expression of CMA1 was closed related to poor overall survival (OS) and progression-free survival (PFS) in patients with GC (OS HR = 1.50, p = .00015; PFS HR = 1.33, p = .016). Especially, in GC patients at N1, N2 and N3 stages, high CMA1 expression was correlated with poor OS and PFS, but not with NO (p = .15, .09). The expression of CMA1 was positively associated with the levels of infiltrated CD4+, CD8+ T cells, neutrophils, macrophages, and dendritic cells (DCs) in GC. Whereas, CMA1 expression was considerably associated with various immune markers.Conclusion: CMA1 is a key gene whose expression level is significantly correlated with GC prognosis and infiltration levels of CD8+, CD4+ T cells, neutrophils, macrophages, and DCs in GC. In addition, the expression of CMA1 may be involved in regulating tumour-associated macrophages (TAMs), dendritic cells, exhausted T cells and regulatory T cells in GC. It suggests that CMA1 could be utilized as a prognostic marker and a sign of immune infiltration in GC.
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Affiliation(s)
- Shanping Shi
- Diabetes Center, Zhejiang Provincial Key Laboratory of Pathophysiology, Institute of Biochemistry and Molecular Biology, School of Medicine, Ningbo University, Ningbo, China
| | - Shazhou Ye
- Diabetes Center, Zhejiang Provincial Key Laboratory of Pathophysiology, Institute of Biochemistry and Molecular Biology, School of Medicine, Ningbo University, Ningbo, China
| | - Jianmei Mao
- Diabetes Center, Zhejiang Provincial Key Laboratory of Pathophysiology, Institute of Biochemistry and Molecular Biology, School of Medicine, Ningbo University, Ningbo, China
| | - Yuqing Ru
- Diabetes Center, Zhejiang Provincial Key Laboratory of Pathophysiology, Institute of Biochemistry and Molecular Biology, School of Medicine, Ningbo University, Ningbo, China
| | - Yicong Lu
- Diabetes Center, Zhejiang Provincial Key Laboratory of Pathophysiology, Institute of Biochemistry and Molecular Biology, School of Medicine, Ningbo University, Ningbo, China
| | - Xiaoyue Wu
- Diabetes Center, Zhejiang Provincial Key Laboratory of Pathophysiology, Institute of Biochemistry and Molecular Biology, School of Medicine, Ningbo University, Ningbo, China
| | - Mingjun Xu
- Diabetes Center, Zhejiang Provincial Key Laboratory of Pathophysiology, Institute of Biochemistry and Molecular Biology, School of Medicine, Ningbo University, Ningbo, China
| | - Tingwei Zhu
- Diabetes Center, Zhejiang Provincial Key Laboratory of Pathophysiology, Institute of Biochemistry and Molecular Biology, School of Medicine, Ningbo University, Ningbo, China
| | - Yibo Wang
- Diabetes Center, Zhejiang Provincial Key Laboratory of Pathophysiology, Institute of Biochemistry and Molecular Biology, School of Medicine, Ningbo University, Ningbo, China
| | - Yuanming Chen
- Diabetes Center, Zhejiang Provincial Key Laboratory of Pathophysiology, Institute of Biochemistry and Molecular Biology, School of Medicine, Ningbo University, Ningbo, China
| | - Xiaoli Tang
- Diabetes Center, Zhejiang Provincial Key Laboratory of Pathophysiology, Institute of Biochemistry and Molecular Biology, School of Medicine, Ningbo University, Ningbo, China
| | - Yang Xi
- Diabetes Center, Zhejiang Provincial Key Laboratory of Pathophysiology, Institute of Biochemistry and Molecular Biology, School of Medicine, Ningbo University, Ningbo, China
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Pejler G. The emerging role of mast cell proteases in asthma. Eur Respir J 2019; 54:13993003.00685-2019. [PMID: 31371445 DOI: 10.1183/13993003.00685-2019] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Accepted: 07/23/2019] [Indexed: 12/31/2022]
Abstract
It is now well established that mast cells (MCs) play a crucial role in asthma. This is supported by multiple lines of evidence, including both clinical studies and studies on MC-deficient mice. However, there is still only limited knowledge of the exact effector mechanism(s) by which MCs influence asthma pathology. MCs contain large amounts of secretory granules, which are filled with a variety of bioactive compounds including histamine, cytokines, lysosomal hydrolases, serglycin proteoglycans and a number of MC-restricted proteases. When MCs are activated, e.g. in response to IgE receptor cross-linking, the contents of their granules are released to the exterior and can cause a massive inflammatory reaction. The MC-restricted proteases include tryptases, chymases and carboxypeptidase A3, and these are expressed and stored at remarkably high levels. There is now emerging evidence supporting a prominent role of these enzymes in the pathology of asthma. Interestingly, however, the role of the MC-restricted proteases is multifaceted, encompassing both protective and detrimental activities. Here, the current knowledge of how the MC-restricted proteases impact on asthma is reviewed.
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Affiliation(s)
- Gunnar Pejler
- Dept of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden .,Dept of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, Uppsala, Sweden
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Pecak M, Korošec P, Kunej T. Multiomics Data Triangulation for Asthma Candidate Biomarkers and Precision Medicine. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2019; 22:392-409. [PMID: 29927718 DOI: 10.1089/omi.2018.0036] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Asthma is a common complex disorder and has been subject to intensive omics research for disease susceptibility and therapeutic innovation. Candidate biomarkers of asthma and its precision treatment demand that they stand the test of multiomics data triangulation before they can be prioritized for clinical applications. We classified the biomarkers of asthma after a search of the literature and based on whether or not a given biomarker candidate is reported in multiple omics platforms and methodologies, using PubMed and Web of Science, we identified omics studies of asthma conducted on diverse platforms using keywords, such as asthma, genomics, metabolomics, and epigenomics. We extracted data about asthma candidate biomarkers from 73 articles and developed a catalog of 190 potential asthma biomarkers (167 human, 23 animal data), comprising DNA loci, transcripts, proteins, metabolites, epimutations, and noncoding RNAs. The data were sorted according to 13 omics types: genomics, epigenomics, transcriptomics, proteomics, interactomics, metabolomics, ncRNAomics, glycomics, lipidomics, environmental omics, pharmacogenomics, phenomics, and integrative omics. Importantly, we found that 10 candidate biomarkers were apparent in at least two or more omics levels, thus promising potential for further biomarker research and development and precision medicine applications. This multiomics catalog reported herein for the first time contributes to future decision-making on prioritization of biomarkers and validation efforts for precision medicine in asthma. The findings may also facilitate meta-analyses and integrative omics studies in the future.
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Affiliation(s)
- Matija Pecak
- 1 Department of Animal Science, Biotechnical Faculty, University of Ljubljana , Domzale, Slovenia
| | - Peter Korošec
- 2 Laboratory for Clinical Immunology and Molecular Genetics, University Clinic of Respiratory and Allergic Diseases , Golnik, Slovenia
| | - Tanja Kunej
- 1 Department of Animal Science, Biotechnical Faculty, University of Ljubljana , Domzale, Slovenia
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Higher TGF-β with lower CD124 and TSLP, but no difference in PAR-2 expression in bronchial biopsy of bronchial asthma patients in comparison with COPD patients. Appl Immunohistochem Mol Morphol 2015; 22:543-9. [PMID: 24185116 DOI: 10.1097/pai.0b013e3182a500a3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) and bronchial asthma (BA) are 2 severe respiratory disorders with different predominated immunopathologies. There are several "novel molecules" from different families that are proposed as part of the etiopathogenesis of COPD and BA. Proteinase-activated receptor 2 (PAR-2), thymic stromal lymphoprotein (TSLP), interleukin-4 and its receptor (CD124), Yin-Yang 1 (YY1), and transforming growth factor beta (TGF-β) have been previously shown to be involved in the pathophysiology of both these diseases. We investigated PAR-2, TSLP, CD124 (interleukin-4R), TGF-β, and YY1 immunohistochemical expression in endobronchial and transbronchial biopsies from 22 BA patients and 20 COPD patients. Immunostaining for the above-mentioned antigens was quantified using a modified semiquantitative scoring system and statistically evaluated. The values of TGF-β in the epithelial cells (P=0.0007) and TGF-β in the submucosa (P=0.0075) were higher in the BA samples, whereas values of CD124 (P=0.0015) and TSLP (P=0.0106) were higher in the COPD samples. No statistically significant differences between the groups were recorded for PAR-2 and YY1. Airway inflammatory reaction diversity in BA and COPD seems to be disease specific; however, there are also shared mechanisms involved in the pathophysiology of both diseases.
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Lamina C, Haun M, Coassin S, Kloss-Brandstätter A, Gieger C, Peters A, Grallert H, Strauch K, Meitinger T, Kedenko L, Paulweber B, Kronenberg F. A systematic evaluation of short tandem repeats in lipid candidate genes: riding on the SNP-wave. PLoS One 2014; 9:e102113. [PMID: 25050552 PMCID: PMC4106801 DOI: 10.1371/journal.pone.0102113] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2014] [Accepted: 06/14/2014] [Indexed: 01/09/2023] Open
Abstract
Structural genetic variants as short tandem repeats (STRs) are not targeted in SNP-based association studies and thus, their possible association signals are missed. We systematically searched for STRs in gene regions known to contribute to total cholesterol, HDL cholesterol, LDL cholesterol and triglyceride levels in two independent studies (KORA F4, n = 2553 and SAPHIR, n = 1648), resulting in 16 STRs that were finally evaluated. In a combined dataset of both studies, the sum of STR alleles was regressed on each phenotype, adjusted for age and sex. The association analyses were repeated for SNPs in a 200 kb region surrounding the respective STRs in the KORA F4 Study. Three STRs were significantly associated with total cholesterol (within LDLR, the APOA1/C3/A4/A5/BUD13 gene region and ABCG5/8), five with HDL cholesterol (3 within CETP, one in LPL and one inAPOA1/C3/A4/A5/BUD13), three with LDL cholesterol (LDLR, ABCG5/8 and CETP) and two with triglycerides (APOA1/C3/A4/A5/BUD13 and LPL). None of the investigated STRs, however, showed a significant association after adjusting for the lead or adjacent SNPs within that gene region. The evaluated STRs were found to be well tagged by the lead SNP within the respective gene regions. Therefore, the STRs reflect the association signals based on surrounding SNPs. In conclusion, none of the STRs contributed additionally to the SNP-based association signals identified in GWAS on lipid traits.
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Affiliation(s)
- Claudia Lamina
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Margot Haun
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Stefan Coassin
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Anita Kloss-Brandstätter
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
| | - Harald Grallert
- Department of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, TechnischeUniversitätMünchen, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
| | - Lyudmyla Kedenko
- First Department of Internal Medicine, Paracelsus Private Medical University Salzburg, Salzburg, Austria
| | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Private Medical University Salzburg, Salzburg, Austria
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
- * E-mail:
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Orlowska-Baranowska E, Gora J, Baranowski R, Stoklosa P, Gadomska vel Betka L, Pedzich-Placha E, Milkowska M, Koblowska MK, Hryniewiecki T, Gaciong Z, Placha G. Association of the common genetic polymorphisms and haplotypes of the chymase gene with left ventricular mass in male patients with symptomatic aortic stenosis. PLoS One 2014; 9:e96306. [PMID: 24823657 PMCID: PMC4019480 DOI: 10.1371/journal.pone.0096306] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2013] [Accepted: 04/06/2014] [Indexed: 01/20/2023] Open
Abstract
We investigated the association between polymorphisms and haplotypes of the chymase 1 gene (CMA1) and the left ventricular mass index (LVM/BSA) in a large cohort of patients with aortic stenosis (AS). Additionally, the gender differences in cardiac remodeling and hypertrophy were analyzed. The genetic background may affect the myocardial response to pressure overload. In human cardiac tissue, CMA1 is involved in angiotensin II production and TGF-β activation, which are two major players in the pathogenesis of hypertrophy and fibrosis. Preoperative echocardiographic data from 648 patients with significant symptomatic AS were used. The LVM/BSA was significantly lower (p<0.0001), but relative wall thickness (RWT) was significantly higher (p = 0.0009) in the women compared with the men. The haplotypes were reconstructed using six genotyped polymorphisms: rs5248, rs4519248, rs1956932, rs17184822, rs1956923, and rs1800875. The haplotype h1.ACAGGA was associated with higher LVM/BSA (p = 9.84×10−5), and the haplotype h2.ATAGAG was associated with lower LVM/BSA (p = 0.0061) in men, and no significant differences were found in women. Two polymorphisms within the promoter region of the CMA1 gene, namely rs1800875 (p = 0.0067) and rs1956923 (p = 0.0015), influenced the value of the LVM/BSA in males. The polymorphisms and haplotypes of the CMA1 locus are associated with cardiac hypertrophy in male patients with symptomatic AS. Appropriate methods for the indexation of heart dimensions revealed substantial sex-related differences in the myocardial response to pressure overload.
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Affiliation(s)
| | - Jaroslaw Gora
- Department of Internal Medicine, Hypertension, and Vascular Diseases, Medical University of Warsaw, Warsaw, Poland
| | | | - Patrycjusz Stoklosa
- Department of Valvular Heart Diseases, Institute of Cardiology, Warsaw, Poland
| | - Lucja Gadomska vel Betka
- Department of Internal Medicine, Hypertension, and Vascular Diseases, Medical University of Warsaw, Warsaw, Poland
| | - Ewa Pedzich-Placha
- Department of Internal Medicine, Hypertension, and Vascular Diseases, Medical University of Warsaw, Warsaw, Poland
| | | | - Marta K. Koblowska
- Faculty of Biology, University of Warsaw, Warsaw, Poland
- Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland
| | - Tomasz Hryniewiecki
- Department of Valvular Heart Diseases, Institute of Cardiology, Warsaw, Poland
| | - Zbigniew Gaciong
- Department of Internal Medicine, Hypertension, and Vascular Diseases, Medical University of Warsaw, Warsaw, Poland
| | - Grzegorz Placha
- Department of Internal Medicine, Hypertension, and Vascular Diseases, Medical University of Warsaw, Warsaw, Poland
- * E-mail:
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Tang HY, Tang XF, Zuo XB, Gao JP, Sheng YJ, Li Y, Zhou FS, Yin XY, Xiao FL, Du WD, Yang S, Sun LD, Zhang XJ. Association analysis of single nucleotide polymorphisms at five loci: comparison between atopic dermatitis and asthma in the Chinese Han population. PLoS One 2012; 7:e35334. [PMID: 22545103 PMCID: PMC3335873 DOI: 10.1371/journal.pone.0035334] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2011] [Accepted: 03/14/2012] [Indexed: 11/18/2022] Open
Abstract
Atopic diseases, such as atopic dermatitis (AD) and asthma, are closely related to clinical phenotypes with hypersensitivity, and often share some similar genetic and pathogenic bases. Our recent GWAS identified three susceptibility gene/loci FLG (rs11204971 and rs3126085), 5q22.1 (rs10067777, rs7701890, rs13360927 and rs13361382) and 20q13.33 (rs6010620) to AD. The effect of these AD associated polymorphisms in asthma is so far unknown. To investigate whether AD relevant genetic variants is identical to asthma and reveal the differences in genetic factors between AD and asthma in Chinese Han population, seven AD associated single nucleotide polymorphisms (SNPs) as well as 3 other SNPs (rs7936562 and rs7124842 at 11q13.5 and rs4982958 at 14q11.2) from our previous AD GWAS were genotyped in 463 asthma patients and 985 controls using Sequenom MassArray system. We found rs4982958 at 14q11.2 was significantly associated with asthma (P = 3.04×10−4, OR = 0.73). We also detected one significant risk haplotype GGGA from the 4 SNPs (rs10067777, rs7701890, rs13360927 and rs13361382) at 5q22.1 in AD cases (Pcorrection = 3.60×10−10, OR = 1.26), and the haplotype was suggestive of risk in asthma cases in this study (P = 0.014, Pcorrection = 0.084, OR = 1.38). These SNPs (rs11204971, rs3126085, rs7936562, rs712484 and rs6010620) at AD susceptibility genes/loci FLG, 11q13.5 and 20q13.33 were not associated with asthma in this study. Our results further comfirmed that 14q11.2 was an important candidate locus for asthma and demonstrated that 5q22.1 might be shared by AD and asthma in Chinese Han population.
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Affiliation(s)
- Hua-Yang Tang
- Institute of Dermatology and Department of Dermatology, No.1 Hospital, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, China, Hefei, Anhui, China
- State Key Laboratory Incubation Base of Dermatology, Anhui Medical University, Hefei, Anhui, China
| | - Xian-Fa Tang
- Institute of Dermatology and Department of Dermatology, No.1 Hospital, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, China, Hefei, Anhui, China
- State Key Laboratory Incubation Base of Dermatology, Anhui Medical University, Hefei, Anhui, China
| | - Xian-Bo Zuo
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, China, Hefei, Anhui, China
- State Key Laboratory Incubation Base of Dermatology, Anhui Medical University, Hefei, Anhui, China
| | - Jin-Ping Gao
- Institute of Dermatology and Department of Dermatology, No.1 Hospital, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, China, Hefei, Anhui, China
- State Key Laboratory Incubation Base of Dermatology, Anhui Medical University, Hefei, Anhui, China
| | - Yu-Jun Sheng
- Institute of Dermatology and Department of Dermatology, No.1 Hospital, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, China, Hefei, Anhui, China
- State Key Laboratory Incubation Base of Dermatology, Anhui Medical University, Hefei, Anhui, China
| | - Yang Li
- Institute of Dermatology and Department of Dermatology, No.1 Hospital, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, China, Hefei, Anhui, China
- State Key Laboratory Incubation Base of Dermatology, Anhui Medical University, Hefei, Anhui, China
| | - Fu-Sheng Zhou
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, China, Hefei, Anhui, China
- State Key Laboratory Incubation Base of Dermatology, Anhui Medical University, Hefei, Anhui, China
| | - Xian-Yong Yin
- Institute of Dermatology and Department of Dermatology, No.1 Hospital, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, China, Hefei, Anhui, China
- State Key Laboratory Incubation Base of Dermatology, Anhui Medical University, Hefei, Anhui, China
| | - Feng-Li Xiao
- Institute of Dermatology and Department of Dermatology, No.1 Hospital, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, China, Hefei, Anhui, China
- State Key Laboratory Incubation Base of Dermatology, Anhui Medical University, Hefei, Anhui, China
| | - Wei-Dong Du
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, China, Hefei, Anhui, China
- State Key Laboratory Incubation Base of Dermatology, Anhui Medical University, Hefei, Anhui, China
| | - Sen Yang
- Institute of Dermatology and Department of Dermatology, No.1 Hospital, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, China, Hefei, Anhui, China
- State Key Laboratory Incubation Base of Dermatology, Anhui Medical University, Hefei, Anhui, China
| | - Liang-Dan Sun
- Institute of Dermatology and Department of Dermatology, No.1 Hospital, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, China, Hefei, Anhui, China
- State Key Laboratory Incubation Base of Dermatology, Anhui Medical University, Hefei, Anhui, China
- * E-mail: (LDS); (XJZ)
| | - Xue-Jun Zhang
- Institute of Dermatology and Department of Dermatology, No.1 Hospital, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, China, Hefei, Anhui, China
- State Key Laboratory Incubation Base of Dermatology, Anhui Medical University, Hefei, Anhui, China
- * E-mail: (LDS); (XJZ)
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