• Journal of the Korean Data and Information Science Society
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• 제20권1호
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• pp.171-178
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• 2009

제한된 분할방법은 어떤 개체의 표현형을 가장 많이 설명할 수 있는 multilocus 유전자형들의 분할된 그룹을 찾는 것이며 연속형 데이터에 적합하다. 또한 이 방법은 인간의 여러 질병에 영향을 주는 유전자를 찾는 방법으로 주로 이용된다. 그러나 본 연구에서는 제한된 분할 방법을 인간의 질병뿐만 아니라 가축의 경제형질에도 적용할 수 있는 것을 보이기 위해 한우의 여러 경제형질인 등심단면적, 도체중과 일당증체량에 영향을 주는 유전자를 규명해 보았다. 그 결과 모든 경제형질에 영향을 주는 유전자로는 SNP (19_1)$^*$SNP (28_2)의 상호작용이 가장 좋은 SNP로 선정되었다. 따라서 이 유전자 SNP (19_1)$^*$SNP (28_2)가 한우의 경제형질에 가장 많은 영향을 준다는 것을 규명하였으며 제한된 분할 방법이 가축의 경제형질에도 적용할 수 있다는 것을 보였다.

• Asian-Australasian Journal of Animal Sciences
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• 제24권11호
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• pp.1525-1528
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• 2011

The purpose of this study was to detect SNPs that were responsible for a carcass trait in Hanwoo populations. A non-parametric model applying a restricted partition method (RPM) was used, which exploited a partitioning algorithm considering statistical criteria for multiple comparison testing. Phenotypic and genotypic data were obtained from the Hanwoo Improvement Center, National Agricultural Cooperation Federation, Korea, in which the pedigree structure comprised 229 steers from 16 paternal half-sib proven sires that were born in Namwon or Daegwanryong livestock testing station between spring of 2002 and fall of 2003. A carcass trait, longissimus dorsi muscle area for each steer was measured after slaughter at approximately 722 days. Three SNPs (19_1, 18_4 and 28_2) near the microsatellite marker ILSTS035 on BTA6, around which the quantitative trait loci (QTL) for meat quality were previously detected, were used in this study. The RPM analyses resulted in two significant interaction effects between SNPs (19_1 and 18_4) and (19_1 and 28_2) at ${\alpha}$ = 0.05 level. However, under a general linear (parametric) model no interaction effect between any pair of the three SNPs was detected, while only one main effect for SNP19_1 was found for the trait. Also, under another non-parametric model using a multifactor dimensionality reduction (MDR) method, only one interaction effect of the two SNPs (19_1 and 28_2) explained the trait significantly better than the parametric model with the main effect of SNP19_1. Our results suggest that RPM is a good alternative to model choices that can find associations of the interaction effects of multiple SNPs for quantitative traits in livestock species.