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A Polygenic Approach to the Study of PolygenicDiseases

机译:研究多基因的多基因方法疾病

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摘要

Polygenic diseases are caused by the joint contribution of a number of independently acting or interacting polymorphic genes; the individual contribution of each gene may be small or even unnoticeable. The carriage of certain combinations of genes can determine the occurrence of clinically heterogeneous forms of the disease and treatment efficacy. This review describes the approaches used in a polygenic analysis of data in medical genomics, in particular, pharmacogenomics, aimed at identifying the cumulative effect of genes. This effect may result from the summation of gains of different genes or be caused by the epistatic interaction between the genes. Both cases are undoubtedly of great interest in investigating the nature of polygenic diseases. The means that allow one to discriminate between these two possibilities are discussed. The methods for searching for combinations of alleles of different genes associated with the polygenic phenotypic traits of the disease, as well as the methods for presenting and validating the results, are described and compared. An attempt is made to evaluate the applicability of the existing methods to an epistasis analysis. The results obtained by the authors using the APSampler software are described and summarized.
机译:多基因疾病是由许多独立作用或相互作用的多态性基因共同作用引起的。每个基因的个体贡献可能很小甚至不明显。基因的某些组合的携带可以确定疾病的临床异质形式的发生和治疗功效。这篇综述描述了在医学基因组学,尤其是药物基因组学中,对数据进行多基因分析的方法,旨在鉴定基因的累积效应。这种影响可能是由于不同基因的增益之和引起的,也可能是由于基因之间的上位性相互作用引起的。毫无疑问,这两种情况都对调查多基因疾病的性质非常感兴趣。讨论了允许人们区分这两种可能性的方法。描述和比较了寻找与该疾病的多基因表型性状相关的不同基因的等位基因的组合的方法,以及呈现和验证结果的方法。试图评估现有方法对上位性分析的适用性。作者描述并总结了使用APSampler软件获得的结果。

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