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Efficient and Fast Analysis for Detecting High Order Gene-by-Gene Interactions in a Genome-Wide Association Study

机译:检测基因组关联研究中高阶基因相互作用的高效分析

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Most common complex traits are affected by multiple genes and/or environmental factors. To understand genetic architecture of complex traits, the investigation of gene-gene and gene-environment interactions can be essential. However, conducting gene-gene interaction using genome-wide data requires exploring a huge search space and suffers from a computation burden due to high dimensionality of genetic data. To identify gene-gene interaction more efficiently, we propose a gene-based reduction method which first summarizes the gene effect by combining multiple single nucleotide polymorphism (SNP) and then performs the gene-gene interaction via the summarized gene effect. By reducing the search space from SNPs to gene, our gene-based method becomes efficient and fast for identifying gene-gene interaction in genome wide association studies. The gene-based reduction method is illustrated by hypertension data from a Korean population.
机译:最常见的复杂性状受多种基因和/或环境因素的影响。为了了解复杂性状的遗传架构,对基因基因和基因环境相互作用的调查可能是必不可少的。然而,使用基因组数据进行基因 - 基因相互作用需要探索巨大的搜索空间,并且由于遗传数据的高维度而遭受计算负担。为了更有效地鉴定基因 - 基因相互作用,我们提出了一种基于基因的还原方法,首先通过组合多种单一核苷酸多态性(SNP)来总结基因效应,然后通过总结基因效应进行基因 - 基因相互作用。通过将来自SNP的搜索空间减少到基因,我们基于基于基因的方法是有效且快速地识别基因组宽协会研究中的基因 - 基因相互作用。基于基因的减少方法由韩国人群的高血压数据说明。

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