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http://dx.doi.org/10.5351/KJAS.2009.22.6.1239

Study Gene Interaction Effect Based on Expanded Multifactor Dimensionality Reduction Algorithm  

Lee, Jea-Young (Department of Statistics, Yeungnam University)
Lee, Ho-Guen (Department of Statistics, Yeungnam University)
Lee, Yong-Won (Department of Statistics, Yeungnam University)
Publication Information
The Korean Journal of Applied Statistics / v.22, no.6, 2009 , pp. 1239-1247 More about this Journal
Abstract
Study the gene about economical characteristic of human disease or domestic animal is a matter of grave interest, preserve and elevation of gene of Korea cattle is key subject. Studies have been done on the gene of Korea cattle using EST based SNP map, but it is based on statistical model, therefore there are difference between real position and statistical position. These problems are solved using both EST_based SNP map and Gene on sequence by Lee et al. (2009b). We have used multifactor dimensionality reduction(MDR) method to study interaction effect of statistical model in general. But MDR method cannot be applied in all cases. It can be applied to the only case-control data. So, method is suggested E-MDR method using CART algorithm. Also we identified interaction effects of single nucleotide polymorphisms(SNPs) responsible for average daily gain(ADG) and marbling score(MS) using E-MDR method.
Keywords
Average daily gain; expanded MDR; Hanwoo economic traits; marbling score; single nucleotide polymorphism;
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Times Cited By KSCI : 4  (Citation Analysis)
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