DOI QR코드

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

  • Lee, Seungyeoun (Department of Mathematics and Statistics, Sejong University) ;
  • Son, Donghee (Department of Mathematics and Statistics, Sejong University) ;
  • Yu, Wenbao (Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia) ;
  • Park, Taesung (Department of Statistics, Seoul National University)
  • 투고 : 2016.11.15
  • 심사 : 2016.12.09
  • 발행 : 2016.12.31

초록

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.

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참고문헌

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피인용 문헌

  1. HISCOM-GGI: Hierarchical structural component analysis of gene-gene interactions pp.1757-6334, 2018, https://doi.org/10.1142/S0219720018400267