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http://dx.doi.org/10.5351/KJAS.2009.22.2.435

Multifactor Dimensionality Reduction(MDR) Analysis by Dummy Variables  

Lee, Jea-Young (Department of Statistics, Yeungnam University)
Lee, Ho-Guen (Department of Statistics, Yeungnam University)
Publication Information
The Korean Journal of Applied Statistics / v.22, no.2, 2009 , pp. 435-442 More about this Journal
Abstract
Multiple genes interacting is a difficult due to the limitations of parametric statistical method like as logistic regression for detection of gene effects that are dependent solely on interactions with other genes and with environmental exposures. Multifactor dimensionality reduction(MDR) statistical method by dummy variables was applied to identify interaction effects of single nucleotide polymorphisms(SNPs) responsible for longissimus mulcle dorsi area(LMA), carcass cold weight(CWT) and average daily gain(ADG) in a Hanwoo beef cattle population.
Keywords
Dummy variables; MDR; SNP; Hanwoo economic traits;
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