Detection of superior genotype of fatty acid synthase in Korean native cattle by an environment-adjusted statistical model.
OBJECTIVE
This study examines the genetic factors influencing the phenotypes (four economic traits:oleic acid [C18:1], monounsaturated fatty acids, carcass weight, and marbling score) of Hanwoo.


METHODS
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 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 single nucleotide polymorphism (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 multifactor dimensionality reduction method in Table 1 to 4. Finally, high- and low-risk genotypes were compared based on their mean scores for each trait.


CONCLUSIONS
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.
Department of Statistics, Yeungnam University, Gyeongsan 712-749, Korea.
Jea-Young
JY
Lee
Livestock Research institute, Yeongju 750-871, Korea.
Dong-Yep
DY
Oh
Department of Statistics, Yeungnam University, Gyeongsan 712-749, Korea.
Hyun-Ji
HJ
Kim
Department of Life Sciences, Yeungnam University, Gyeongsan 712-749, Korea.
Gab-Sue
GS
Jang
Department of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore.
Seung-Uk
SU
Lee
Adjusted Model; Analysis of Covariance (ANCOVA) Model; Environmental Factor; Fatty Acid Synthase; Genetic Factor