Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Major gene identification for LPL gene in Korean cattles

엘피엘 유전자에 대한 한우의 우수 유전자 조합 선별

  • Received : 2013.08.23
  • Accepted : 2013.10.21
  • Published : 2013.11.30
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Abstract

The lipoprotein lipase (LPL) gene can be considered a functional candidate gene that regulates fatty acid composition. Oh etc (2013) investigated the relationship between unsaturated fatty acids and five novel SNPs, and had confirmed that three polymorphic SNPs (c.322G>A, c.329A>T and c.1591G>A) were associated with fatty acid composition. We have used generalized linear model for adjusted environmental effects and multifactor dimensionality reduction (MDR) method to identify gene-gene interaction effect of statistical model in general. We applied the MDR method on the identify major interaction effects of exonic single nucleotide polymorphisms (SNPs) in the LPL gene for economic traits in Korean cattles population.

지질 단백질 리파제 (lipoprotein lipase; LPL) 유전자는 지방산 합성을 조절하는 유전자로 알려져 있다. 특히, 한우의 LPL 유전자 내의 지방산 합성과 단일염기다형성 (SNP) 사이의 유전적 연관성이 밝혔진 바 있다. 최근에는 LPL 유전자 내의 3가지 SNP 즉, c.322G>A, c.329A>T 그리고 c.1591G>A는 한우의 불포화 지방산 조성과 도체형질과 관련된 새로운 유전자로 밝혀진 바 있다 (Oh 등; 2013). 본 논문은 최근 밝혀진 3개의 새로운 LPL 유전자를 활용 한우의 도체경제형질은 물론 맛과 향이 좋은 여러 경제형질에 영향을 주는 우수 유전자 조합을 선별하려 하였다. 우수 유전자 선별 조합을 선별하기 위해 유전자 조합 방법으로 많이 활용되는 다중인자 차원 축소 방법을 이용하였다. 순수 유전자 효과만의 결과를 활용하기 위해 실험에서 얻어진 자료의 환경요인을 보정한 후 분석을 시도하였다 (Matsuhashi 등, 2011).

Keywords

References

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