Y H Lee1, G G Song2. 1. Division of Rheumatology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 126-1, Anam-dong 5-ga, Seongbuk-gu, 136-705, Seoul, Korea. lyhcgh@korea.ac.kr. 2. Division of Rheumatology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 126-1, Anam-dong 5-ga, Seongbuk-gu, 136-705, Seoul, Korea.
Abstract
OBJECTIVE: The purpose of this work was to investigate whether major histocompatibility complex class I chain-related gene A (MICA) polymorphisms are associated with susceptibility to Behcet's disease (BD). METHODS: A meta-analysis was conducted on the associations between the MICA-transmembrane (TM) A6 allele and the 009 allele of MICA exon 2-4 (MICA*009) and BD with or without HLA-B51 overall and in each ethnic group. RESULTS: Fifteen comparison studies were included in this meta-analysis. The meta-analysis revealed a significant association between the MICA-TM A6 allele and BD in European, Asian, and Arab populations [odds ratio (OR) 1.436, 95 % confidence interval (CI) 1.111-1.857, p = 0.006; OR 1.999, 95 % CI 1.551-2.575, p = 8.0 × 10(-8); OR 1.333, 95 % CI 1.058-2.300, p = 0.025, respectively,]). Stratification by HLA-B51 showed an association between the MICA-TM A6 allele and BD with HLA-B51 in the overall group and in the European population. Meta-analysis showed a significant association between the MICA*009 allele and BD in the overall group (OR 3.948, 95 % CI 2.680-5.815, p < 1.0 × 10(-8)) and in the European population (OR 3.392, 95 % CI 2.118-5.433, p = 5.6 × 10(-6)). A significant association was found between the MICA*009 allele and B51-positive BD. CONCLUSION: This meta-analysis shows that the MICA-TM A6 allele and the MICA*009 allele are associated with BD susceptibility in various ethnic populations, and that MICA alleles are in strong linkage disequilibrium with HLA-B51 in BD.
OBJECTIVE: The purpose of this work was to investigate whether major histocompatibility complex class I chain-related gene A (MICA) polymorphisms are associated with susceptibility to Behcet's disease (BD). METHODS: A meta-analysis was conducted on the associations between the MICA-transmembrane (TM) A6 allele and the 009 allele of MICA exon 2-4 (MICA*009) and BD with or without HLA-B51 overall and in each ethnic group. RESULTS: Fifteen comparison studies were included in this meta-analysis. The meta-analysis revealed a significant association between the MICA-TM A6 allele and BD in European, Asian, and Arab populations [odds ratio (OR) 1.436, 95 % confidence interval (CI) 1.111-1.857, p = 0.006; OR 1.999, 95 % CI 1.551-2.575, p = 8.0 × 10(-8); OR 1.333, 95 % CI 1.058-2.300, p = 0.025, respectively,]). Stratification by HLA-B51 showed an association between the MICA-TM A6 allele and BD with HLA-B51 in the overall group and in the European population. Meta-analysis showed a significant association between the MICA*009 allele and BD in the overall group (OR 3.948, 95 % CI 2.680-5.815, p < 1.0 × 10(-8)) and in the European population (OR 3.392, 95 % CI 2.118-5.433, p = 5.6 × 10(-6)). A significant association was found between the MICA*009 allele and B51-positive BD. CONCLUSION: This meta-analysis shows that the MICA-TM A6 allele and the MICA*009 allele are associated with BD susceptibility in various ethnic populations, and that MICA alleles are in strong linkage disequilibrium with HLA-B51 in BD.
Authors: N Mizuki; M Ota; K Yabuki; Y Katsuyama; H Ando; G D Palimeris; E Kaklamani; M Accorinti; P Pivetti-Pezzi; S Ohno; H Inoko Journal: Invest Ophthalmol Vis Sci Date: 2000-11 Impact factor: 4.799
Authors: P Picco; B Porfirio; M Gattorno; A Buoncompagni; F Falcini; R Cusano; D Bordo; V Pistoia; R Ravazzolo; M Seri Journal: Int J Mol Med Date: 2002-11 Impact factor: 4.101
Authors: Karen Toledo-Stuardo; Carolina H Ribeiro; Andrea Canals; Marcela Morales; Valentina Gárate; Jose Rodríguez-Siza; Samantha Tello; Marco Bustamante; Ricardo Armisen; Douglas J Matthies; Gerald Zapata-Torres; Patricio González-Hormazabal; María Carmen Molina Journal: Front Immunol Date: 2021-03-31 Impact factor: 7.561