Identification of Stearoyl-CoA Desaturase (SCD) Gene Interactions in Korean Native Cattle Based on the Multifactor-dimensionality Reduction Method

Title
Identification of Stearoyl-CoA Desaturase (SCD) Gene Interactions in Korean Native Cattle Based on the Multifactor-dimensionality Reduction Method
Author(s)
이제영오동엽진미현Lee Yoon-seok[Lee Yoon-seok]Ha Jae-jung[Ha Jae-jung]Kim Byung-ki[Kim Byung-ki]여정수
Keywords
FATTY-ACID-COMPOSITION; SINGLE NUCLEOTIDE POLYMORPHISM; JAPANESE BLACK CATTLE; CARCASS CHARACTERISTICS; ADIPOSE-TISSUE; HANWOO STEERS; MEAT QUALITY; BEEF-CATTLE; ASSOCIATION; POPULATION
Issue Date
201309
Publisher
ASIAN-AUSTRALASIAN ASSOC ANIMAL PRODUCTION SOC
Citation
ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES, v.26, no.9, pp.1218 - 1228
Abstract
Fat quality is determined by the composition of fatty acids. Genetic relationships between this composition and single nucleotide polymorphisms (SNPs) in the stearoyl-CoA desaturase1 (SCD1) gene were examined using 513 Korean native cattle. Single and epistatic effects of 7 SNP genetic variations were investigated, and the multifactor dimensionality reduction (MDR) method was used to investigate gene interactions in terms of oleic acid (C18:1), mono-unsaturated fatty acids (MUFAs) and marbling score (MS). The g.6850+77 A>G and g.14047 C>T SNP interactions were identified as the statistically optimal combination (C18:1, MUFAs and MS permutation p-values were 0.000, 0.000 and 0.001 respectively) of two-way gene interactions. The interaction effects of g.6850+77 A>G, g.10213 T>C and g.14047 C>T reflected the highest training-balanced accuracy (63.76%, 64.70% and 61.85% respectively) and was better than the individual effects for C18:1, MUFAs and MS. In addition, the superior genotype groups were AATTCC, AGTTCC, GGTCCC, AGTCCT, GGCCCT and AGCCTT. These results suggest that the selected SNP combination of the SCD1 gene and superior genotype groups can provide useful inferences for the improvement of the fatty acid composition in Korean native cattle.
URI
http://hdl.handle.net/YU.REPOSITORY/29031http://dx.doi.org/10.5713/ajas.2013.13058
ISSN
1011-2367
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이과대학 > 통계학과 > Articles
생명공학부 > 생명공학부 > Articles
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