Department of Statistics, Yeungnam University, Gyeongsan-si, Gyeongbuk, 712-749, Korea, Gyeongsan-si, Korea 1Livestock Research institute, Gyeongsangbuk-Do, Yeongju, Gyeongbuk, 750-871, Korea, Yeongju, Korea 2Department of Life Sciences, Yeungnam University, Gyeongsan-si, Gyeongbuk, 712-749, Korea, Gyeongsan-si, Korea 3Department of Civil and Environmental Engineering, National University of Singapore, 1 Engineering Drive 2, Singapore 117576, Singapore, Singapore
Received: April 4, 2016; Revised: September 27, 2016. Accepted: February 1, 2017. Published online February 1, 2017.
Objective: This study examines the genetic factors influencing the phenotypes (four economic traits: oleic acid (C18:1), monounsaturated fatty acids (MUFAs), carcass weight (CWT), and marbling score (MS)) of Hanwoo.
Method: To enhance the accuracy of the genetic analysis, the study proposes a new statistical model that excludes environmental factors. A statistically adjusted, analysis of covariance (ANCOVA) model of environmental and genetic factors was developed, and estimated environmental effects (covariate effects of age and effects of calving farms) were excluded from the model.
Results: The accuracy was compared before and after adjustment. The accuracy of the best SNP in C18:1 increased from 60.16% to 74.26%, and that of the two-factor interaction increased from 58.69% to 87.19%. Also, superior SNPs and SNP interactions were identified using the MDR method in Table 1 to 4. Finally, high- and low-risk genotypes were compared based on their mean scores for each trait.
Conclusion: The proposed method significantly improved the analysis accuracy and identified superior gene-gene interactions and genotypes for each of the four economic traits of Hanwoo.
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