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Epistatic effects of multiple receptor genes on pathophysiology of asthma – its limits and potential for clinical application

机译:多种受体基因对哮喘的病理生理的上位性作用-其局限性和临床应用潜力

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摘要

To date, genome-wide association studies (GWAS) permit a comprehensive scan of the genome in an unbiased manner, with high sensitivity, and thereby have the potential to identify candidate genes for the prevalence or development of multifactorial diseases such as bronchial asthma. However, most studies have only managed to explain a small additional percentage of hereditability estimates, and often fail to show consistent results among studies despite large sample sizes. Epistasis is defined as the interaction between multiple different genes affecting phenotypes. By applying epistatic analysis to clinical genetic research, we can analyze interactions among more than 2 molecules (genes) considering the whole system of the human body, illuminating dynamic molecular mechanisms. An increasing number of genetic studies have investigated epistatic effects on the risk for development of asthma. The present review highlights a concept of epistasis to overcome traditional genetic studies in humans and provides an update of evidence on epistatic effects on asthma. Furthermore, we review concerns regarding recent trends in epistatic analyses from the perspective of clinical physicians. These concerns include biological plausibility of genes identified by computational statistics, and definition of the diagnostic label of ‘physician-diagnosed asthma’. In terms of these issues, further application of epistatic analysis will prompt identification of susceptibility of diseases and lead to the development of a new generation of pharmacological strategies to treat asthma.
机译:迄今为止,全基因组关联研究(GWAS)允许以无偏见的方式对基因组进行全面扫描,并且具有很高的灵敏度,因此具有识别候选基因的可能性,该候选基因可用于支气管哮喘等多因素疾病的流行或发展。但是,大多数研究仅能解释一小部分可遗传性估计值,尽管样本量很大,但经常无法在研究之间显示一致的结果。上位性定义为影响表型的多个不同基因之间的相互作用。通过将上位性分析应用于临床遗传研究,我们可以考虑人体的整个系统分析两个以上分子(基因)之间的相互作用,阐明动态分子机制。越来越多的基因研究已经研究了上位性药物对哮喘风险的影响。本综述强调了克服人类传统遗传学研究的上位性概念,并提供了上位性药物对哮喘的影响的最新证据。此外,我们从临床医师的角度回顾了有关上位性分析近期趋势的担忧。这些问题包括通过计算统计数据确定的基因在生物学上的合理性,以及“医师诊断为哮喘”的诊断标签的定义。在这些问题上,上位性分析的进一步应用将促使人们识别疾病的易感性,并导致开发治疗哮喘的新一代药理学策略。

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