Bin Li1, Wei Nie, Qiong Li, Hongchao Liu, Shiyuan Liu. 1. Department of Radiology, Shanghai Changzheng Hospital, Second Military Medical University 415 Fengyang Road, Shanghai 200003, China.
Abstract
BACKGROUND: The polymorphism in the signal transducer and activators of transduction 6 (STAT6) gene has been implicated in susceptibility to asthma and aetiology of asthma, but a number of studies have reported inconclusive and ambiguous results of the association between polymorphism in STAT6 gene and asthma risk in different populations. The aim of this study is to further investigate the association between the STAT6 gene polymorphism and asthma susceptibility. METHODS: Pubmed, EMBASE, China National Knowledge Infrastructure (CNKI) Weipu Database and Wanfang Database were searched to find relevant studies. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association. RESULTS: Included in this meta analysis were 14 studies involving 2875 cases and 3227 controls for STAT6 2964G/A polymorphism and six studies involving 1431 cases and 2027 controls for 2892C/T polymorphism. Overall, there was no significant association between 2964G/A polymorphism of STAT6 and asthma susceptibility for GA+AA vs. GG (OR = 0.96, 95% CI 0.85-1.07, P = 0.39). Except TT vs. CT+CC and TT vs. CC, no significant association was observed between 2892C/T polymorphism and asthma risk under other different contrast models. However, the result was instable. CONCLUSIONS: This meta-analysis suggests that the 2964G/A polymorphism of STAT6 gene is not a risk factor of asthma. For 2892C/T, it contributes to the aetiology of or susceptibility to asthma. More studies are needed to validate this result.
BACKGROUND: The polymorphism in the signal transducer and activators of transduction 6 (STAT6) gene has been implicated in susceptibility to asthma and aetiology of asthma, but a number of studies have reported inconclusive and ambiguous results of the association between polymorphism in STAT6 gene and asthma risk in different populations. The aim of this study is to further investigate the association between the STAT6 gene polymorphism and asthma susceptibility. METHODS: Pubmed, EMBASE, China National Knowledge Infrastructure (CNKI) Weipu Database and Wanfang Database were searched to find relevant studies. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association. RESULTS: Included in this meta analysis were 14 studies involving 2875 cases and 3227 controls for STAT62964G/A polymorphism and six studies involving 1431 cases and 2027 controls for 2892C/T polymorphism. Overall, there was no significant association between 2964G/A polymorphism of STAT6 and asthma susceptibility for GA+AA vs. GG (OR = 0.96, 95% CI 0.85-1.07, P = 0.39). Except TT vs. CT+CC and TT vs. CC, no significant association was observed between 2892C/T polymorphism and asthma risk under other different contrast models. However, the result was instable. CONCLUSIONS: This meta-analysis suggests that the 2964G/A polymorphism of STAT6 gene is not a risk factor of asthma. For 2892C/T, it contributes to the aetiology of or susceptibility to asthma. More studies are needed to validate this result.
Entities:
Keywords:
Asthma; meta-analysis; polymorphism; signal transducer and activator of transcription 6
Authors: Marek Godava; Frantisek Kopriva; Jana Bohmova; Radek Vodicka; Ladislav Dusek; Michaela Cvanova; Jan Muzik; Marie Markova; Eva Schneiderova; Radek Vrtel Journal: Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub Date: 2012-01-30 Impact factor: 1.245
Authors: Maritta Pykäläinen; Riikka Kinos; Sanna Valkonen; Pia Rydman; Maritta Kilpeläinen; Lauri A Laitinen; Jussi Karjalainen; Markku Nieminen; Mikko Hurme; Juha Kere; Tarja Laitinen; Riitta Lahesmaa Journal: J Allergy Clin Immunol Date: 2005-01 Impact factor: 10.793
Authors: Denise Daley; Mathieu Lemire; Loubna Akhabir; Moira Chan-Yeung; Jian Qing He; Treena McDonald; Andrew Sandford; Dorota Stefanowicz; Ben Tripp; David Zamar; Yohan Bosse; Vincent Ferretti; Alexandre Montpetit; Marie-Catherine Tessier; Allan Becker; Anita L Kozyrskyj; John Beilby; Pamela A McCaskie; Bill Musk; Nicole Warrington; Alan James; Catherine Laprise; Lyle J Palmer; Peter D Paré; Thomas J Hudson Journal: Hum Genet Date: 2009-02-27 Impact factor: 4.132
Authors: S Weidinger; N Klopp; S Wagenpfeil; L Rümmler; M Schedel; M Kabesch; T Schäfer; U Darsow; T Jakob; H Behrendt; H E Wichmann; J Ring; T Illig Journal: J Med Genet Date: 2004-09 Impact factor: 6.318