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Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5287120/ https://www.ncbi.nlm.nih.gov/pubmed/28154507 http://dx.doi.org/10.5808/GI.2016.14.4.166 |
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author | Lee, Seungyeoun Son, Donghee Yu, Wenbao Park, Taesung |
author_facet | Lee, Seungyeoun Son, Donghee Yu, Wenbao Park, Taesung |
author_sort | Lee, Seungyeoun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5287120 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Korea Genome Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-52871202017-02-02 Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method Lee, Seungyeoun Son, Donghee Yu, Wenbao Park, Taesung Genomics Inform Original Article 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. Korea Genome Organization 2016-12 2016-12-30 /pmc/articles/PMC5287120/ /pubmed/28154507 http://dx.doi.org/10.5808/GI.2016.14.4.166 Text en Copyright © 2016 by the Korea Genome Organization http://creativecommons.org/licenses/by-nc/4.0/ It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/). |
spellingShingle | Original Article Lee, Seungyeoun Son, Donghee Yu, Wenbao Park, Taesung Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method |
title | Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method |
title_full | Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method |
title_fullStr | Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method |
title_full_unstemmed | Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method |
title_short | Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method |
title_sort | gene-gene interaction analysis for the accelerated failure time model using a unified model-based multifactor dimensionality reduction method |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5287120/ https://www.ncbi.nlm.nih.gov/pubmed/28154507 http://dx.doi.org/10.5808/GI.2016.14.4.166 |
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