Tizaoui K, Hamzaoui K, Hamzaoui A
Department of Basic Sciences, Medicine Faculty of Tunis, Tunis El Manar University, 15 Rue Djebel Lakdar, 1007 Tunis, Tunisia.
Division of Pulmonology, Department of Respiratory Diseases, Unit Research (UR/12SP15), Abderrahman Mami Hospital, Ariana, Tunisia.
Curr Mol Med. 2017;17(10):647-667. doi: 10.2174/1566524018666180322162646.
Several studies have investigated the risk factors associated with asthma. Both genetic and environmental factors are considered to contribute to asthma susceptibility. Individual genetic association studies usually suffer from small sample size leading to biased results. Meta-analysis is a powerful tool that has the potential to resolve this limitation by increasing the statistical power of analyses. The current review summarizes the recent knowledge concerning genetic factors involved in asthma predisposition based on meta-analyses. Using the keywords: asthma, meta-analysis, polymorphism, we searched Pubmed, Medline, Embase and Google Scholar databases for the associated articles. Genetic polymorphisms in twenty-three genes are associated with asthma risk in meta-analyses. However, polymorphisms in nine genes showed none significant association. These findings are used to assess the genetic risk factors and to understand the molecular pathways related to asthma.
多项研究调查了与哮喘相关的风险因素。遗传因素和环境因素均被认为与哮喘易感性有关。个体基因关联研究通常样本量较小，导致结果有偏差。荟萃分析是一种强大的工具，有可能通过提高分析的统计效力来解决这一局限性。本综述基于荟萃分析总结了有关哮喘易感性相关遗传因素的最新知识。使用关键词：哮喘、荟萃分析、多态性，我们在PubMed、Medline、Embase和谷歌学术数据库中搜索了相关文章。荟萃分析表明，23个基因中的基因多态性与哮喘风险相关。然而，9个基因中的多态性未显示出显著关联。这些发现用于评估遗传风险因素，并了解与哮喘相关的分子途径。
