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http://dx.doi.org/10.5351/CKSS.2009.16.6.915

Identify Major Gene-Gene Interaction Effects Using SNPHarvester  

Lee, Jea-Young (Department of Statistics, Yeungnam University)
Kim, Dong-Chul (Department of Statistics, Yeungnam University)
Publication Information
Communications for Statistical Applications and Methods / v.16, no.6, 2009 , pp. 915-923 More about this Journal
Abstract
The gene which is related in the disease of the human has been searched among numerous genes in GWA(Genome-Wide Association) research. However, most current statistical methods used to detect gene-gene interactions in disease association studies cannot be easily applied to handle the whole genome association study(GWAS) due to heavy computing. Therefore SNPHarvester is developed to find the main gene group among numerous genes. This research finds the superior gene groups which are related with the economic traits of the Korean beef cattle, not that of human, among sets of SNPs by using SNPHarvester, and also finds the superior genotypes which can enhance various qualities of Korean beef among SNP groups.
Keywords
CART; genome-wide association; SNP; SNPHarvester;
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Times Cited By KSCI : 2  (Citation Analysis)
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