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http://dx.doi.org/10.7465/jkdi.2013.24.1.151

Major gene interactions effect identification on the quality of Hanwoo by radial graph  

Lee, Jea-Young (Department of Statistics, Yeungnam University)
Bae, Jae-Young (Department of Statistics, Yeungnam University)
Lee, Jin-Mok (Department of Statistics, Yeungnam University)
Oh, Dong-Yep (School of Biotechnology, Yeungnam University)
Lee, Seong-Won (Department of Statistics, Yeungnam University)
Publication Information
Journal of the Korean Data and Information Science Society / v.24, no.1, 2013 , pp. 151-159 More about this Journal
Abstract
It is well known that disease of human and economic traits of livestock are affected a lot by gene combination effect rather than a single gene effect. But existing methods have disadvantages such as heavy computing, many expenses and long time. In order to overcome those drawbacks, SNPHarvester was developed to find the main gene combinations among the many genes. In this paper, we used the superior gene combination which are related to the quality of the Korean beef cattle among sets of SNPs by SNPHarvester, and identified the superior genotypes using radial graph which can enhance various qualities of Korean beef among selected SNP combinations.
Keywords
Radial graph; SNP; SNPHarvester;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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