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http://dx.doi.org/10.5351/KJAS.2012.25.4.563

Detecting Genetic Association and Gene-Gene Interaction using Network Analysis in Case-Control Study  

Jin, Seo-Hoon (Department of Informational Statistics, Korea University)
Lee, Min-Hee (Department of Statistics, Korea University)
Lee, Hyo-Jung (Department of Statistics, Korea University)
Park, Mi-Ra (Department of Preventive Medicine, Eulji University)
Publication Information
The Korean Journal of Applied Statistics / v.25, no.4, 2012 , pp. 563-573 More about this Journal
Abstract
Various methods of analysis have been proposed to understand the gene-disease relation and gene-gene interaction effect for a disease through comparison of genotype in case-control study. In this study, we proposed the method to detect a genetic association and gene-gene interaction through the use of a network graph and centrality measures that are used in social network analysis. The applicability of the proposed method was studied through an analysis of real genetic data.
Keywords
Network analysis; genetic association; gene-gene interaction; centrality measures;
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Times Cited By KSCI : 2  (Citation Analysis)
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