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http://dx.doi.org/10.5713/ajas.2011.11112

Identification of Superior Single Nucleotide Polymorphisms (SNP) Combinations Related to Economic Traits by Genotype Matrix Mapping (GMM) in Hanwoo (Korean Cattle)  

Lee, Yoon-Seok (Charmpoom Hanwoo Research Institution)
Oh, Dong-Yep (School of Biotechnology, Yeungnam University)
Lee, Yong-Won (Department of Statistics, Yeungnam University)
Yeo, Jung-Sou (School of Biotechnology, Yeungnam University)
Lee, Jea-Young (Department of Statistics, Yeungnam University)
Publication Information
Asian-Australasian Journal of Animal Sciences / v.24, no.11, 2011 , pp. 1504-1513 More about this Journal
Abstract
It is important to identify genetic interactions related to human diseases or animal traits. Many linear statistical models have been reported but they did not consider genetic interactions. Genotype matrix mapping (GMM) has been developed to identify genetic interactions. This study uses the GMM method to detect superior SNP combinations of the CCDC158 gene that influences average daily gain, marbling score, cold carcass weight and longissimus muscle dorsi area traits in Hanwoo. We evaluated the statistical significance of the major SNP combinations selected by implementing the permutation test of the F-measure. The effect of g.34425+102 A>T (AA), g.8778G>A (GG) and g.4102+36T>G (GT) SNP combinations produced higher performance of average daily gain, marbling score, cold carcass weight and the longissimus muscle dorsi area traits than the effect of a single SNP. GMM is a fast and reliable method for multiple SNP analysis with potential application in marker-assisted selection. GMM may prospectively be used for genetic assessment of quantitative traits after further development.
Keywords
Economic Traits; Genotype Matrix Mapping; Single Nucleotide Polymorphisms; Hanwoo; CCDC158 Gene;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
Times Cited By Web Of Science : 0  (Related Records In Web of Science)
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