Identification of Superior Single Nucleotide Polymorphisms (SNP) Combinations Related to Economic Traits by Genotype Matrix Mapping (GMM) in Hanwoo (Korean Cattle)
Lee, Y.; Oh, D.-Y.; Lee, Y.-W.; Yeo, J.-S.; Lee, J.-Y.
Asian-Australasian Journal of Animal Sciences 24(11): 1504-1513
ISSN/ISBN: 1011-2367 Accession: 066254105
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.