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Study Gene Interaction Effect Based on Expanded Multifactor Dimensionality Reduction Algorithm
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 Title & Authors
Study Gene Interaction Effect Based on Expanded Multifactor Dimensionality Reduction Algorithm
Lee, Jea-Young; Lee, Ho-Guen; Lee, Yong-Won;
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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.
Average daily gain;expanded MDR;Hanwoo economic traits;marbling score;single nucleotide polymorphism;
 Cited by
우수 유전자 조합 선별을 위한 통계적 상호작용 방법비교,이제영;이용원;최영진;

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