DocumentCode :
3453930
Title :
GxG-Viztool: A program for visualizing gene-gene interactions in genetic association analysis
Author :
Kyunga Kim ; Min-Seok Kwon ; Sung Young Lee ; Junghyun Namkung ; Li, M.D. ; Taesung Park
Author_Institution :
Dept. of Stat., Sookmyung Women´´s Univ., Seoul, South Korea
fYear :
2012
fDate :
4-7 Oct. 2012
Firstpage :
838
Lastpage :
843
Abstract :
Gene-gene interactions are important factors underlying a common complex trait that is mostly polygenic. While many methods have been proposed to analyze gene-gene interactions in genetic association studies, the interpretation of the identified gene-gene interactions is not straightforward. In order to aid the interpretation of gene-gene interactions, we developed the GxG-Viztool, an executable program for visualizing gene-gene interactions in genetic association analysis. The GxG-Viztool provides an effective way to recognize genotype combinations that enhance/repress a trait and to display polygenic structure of interactions. The GxG-Viztool implements six graphical tools: checkerboard, pairwise checkerboard, forest, funnel, 3D lattice and parallel coordinate plots, which make it effective to recognize certain patterns in gene-gene interactions. It is freely available at http ://bibs. snu. ac. kr/GxG-Viz tool.
Keywords :
biology computing; data visualisation; 3D lattice; GxG-Viztool; forest plot; funnel plot; gene-gene interaction visualization; genetic association analysis; genotype combination recognition; interaction polygenic structure; pairwise checkerboard plot; parallel coordinate plots; pattern recognition; trait enhancement; trait repression; Data visualization; Educational institutions; Genetics; Heating; Lattices; Pattern recognition; Visualization; gene-gene interaction; genetic association analysis; pattern recognition; visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4673-2746-6
Electronic_ISBN :
978-1-4673-2744-2
Type :
conf
DOI :
10.1109/BIBMW.2012.6470249
Filename :
6470249
Link To Document :
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