摘要
一些研究已经调查了与哮喘相关的危险因素。遗传和环境因素都被认为是哮喘易感性的原因。个体遗传关联研究通常会受到小样本的影响,导致结果有偏差。元分析是一个强大的工具,它有潜力通过增加分析的统计能力来解决这一限制。本文综述了基于Meta分析的哮喘易感性遗传因素的最新研究进展。使用关键词:哮喘,Meta-分析,多态性,我们搜索Pubmed,Medline,Embase和谷歌学者数据库的相关文章。在Meta分析中,23个基因的遗传多态性与哮喘风险有关.但9个基因的多态性无显著相关性。这些发现被用来评估遗传危险因素和了解与哮喘相关的分子途径。
关键词: 哮喘,遗传多态性,单核苷酸多态性,细胞因子,遗传关联,元分析。
Current Molecular Medicine
Title:Update on Asthma Genetics: Results From Meta-Analyses of Candidate Gene Association Studies
Volume: 17 Issue: 10
关键词: 哮喘,遗传多态性,单核苷酸多态性,细胞因子,遗传关联,元分析。
摘要: 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.
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Cite this article as:
Update on Asthma Genetics: Results From Meta-Analyses of Candidate Gene Association Studies, Current Molecular Medicine 2017; 17 (10) . https://dx.doi.org/10.2174/1566524018666180322162646
DOI https://dx.doi.org/10.2174/1566524018666180322162646 |
Print ISSN 1566-5240 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5666 |
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