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WISH-R– a fast and efficient tool for construction of epistatic networks for complex traits and diseases

机译:WISH-R –一种用于构建复杂特征和疾病的上位性网络的快速有效工具

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摘要

BackgroundGenetic epistasis is an often-overlooked area in the study of the genomics of complex traits. Genome-wide association studies are a useful tool for revealing potential causal genetic variants, but in this context, epistasis is generally ignored. Data complexity and interpretation issues make it difficult to process and interpret epistasis. As the number of interaction grows exponentially with the number of variants, computational limitation is a bottleneck. Gene Network based strategies have been successful in integrating biological data and identifying relevant hub genes and pathways related to complex traits. In this study, epistatic interactions and network-based analysis are combined in the Weighted Interaction SNP hub (WISH) method and implemented in an efficient and easy to use R package.
机译:背景技术在复杂性状的基因组学研究中,遗传上位是一个经常被忽视的领域。全基因组关联研究是揭示潜在因果遗传变异的有用工具,但是在这种情况下,上位性通常被忽略。数据复杂性和解释问题使处理和解释上位性变得困难。随着交互数量与变量数量成指数增长,计算限制成为瓶颈。基于基因网络的策略已成功整合了生物学数据并确定了相关的中枢基因和与复杂性状相关的途径。在这项研究中,上位交互和基于网络的分析在加权交互SNP中心(WISH)方法中结合在一起,并以有效且易于使用的R包实现。

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