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Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method

机译:基于统一模型的多因素降维方法的加速失效时间模型的基因-基因相互作用分析

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摘要

Although a large number of genetic variants have been identified to be associated with common diseases through genome-wide association studies, there still exits limitations in explaining the missing heritability. One approach to solving this missing heritability problem is to investigate gene-gene interactions, rather than a single-locus approach. For gene-gene interaction analysis, the multifactor dimensionality reduction (MDR) method has been widely applied, since the constructive induction algorithm of MDR efficiently reduces high-order dimensions into one dimension by classifying multi-level genotypes into high- and low-risk groups. The MDR method has been extended to various phenotypes and has been improved to provide a significance test for gene-gene interactions. In this paper, we propose a simple method, called accelerated failure time (AFT) UM-MDR, in which the idea of a unified model-based MDR is extended to the survival phenotype by incorporating AFT-MDR into the classification step. The proposed AFT UM-MDR method is compared with AFT-MDR through simulation studies, and a short discussion is given.
机译:尽管已通过全基因组关联研究确定了大量遗传变异与常见疾病相关,但在解释缺失的遗传力方面仍然存在局限性。解决此遗漏的遗传性问题的一种方法是研究基因与基因的相互作用,而不是单基因座方法。在基因-基因相互作用分析中,多因素降维(MDR)方法得到了广泛应用,因为MDR的构造性归纳算法通过将多级基因型分为高风险和低风险类别,有效地将高阶维度缩小为一维。 。 MDR方法已经扩展到各种表型,并且已经进行了改进,以提供基因-基因相互作用的显着性检验。在本文中,我们提出了一种简单的方法,称为加速故障时间(AFT)UM-MDR,其中通过将AFT-MDR纳入分类步骤,将基于模型的统一MDR的思想扩展到生存表型。通过仿真研究,将所提出的AFT UM-MDR方法与AFT-MDR方法进行了比较,并进行了简短的讨论。

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