• Title/Summary/Keyword: mutifactor dimensionality reduction

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Major gene interaction identification in Hanwoo by adjusted environmental effects (환경적인 요인을 보정한 한우의 우수 유전자 조합 선별)

  • Lee, Jea-Young;Jin, Mi-Hyun
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.3
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    • pp.467-474
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    • 2012
  • Human diseases and livestock economic traits are not typically the result of variation of a single genetic locus, but are rather the result of interplay between interactions among multiple genes and a variety of environmental exposures. We have used linear regression model for adjusted environmental effects and multifactor dimensionality reduction (MDR) method to identify gene-gene interaction effect of statistical model in general. Of course, we use 5 SNPs (single uncleotide polymorphism) which were studied recently by Oh et al. (2011). We apply the MDR (multifactor demensionality reduction) method on the identify major interaction effects of single nucleotide polymorphisms responsible for economic traits in a Korean cattle population.

Major gene identification for LPL gene in Korean cattles (엘피엘 유전자에 대한 한우의 우수 유전자 조합 선별)

  • Jin, Mi-Hyun;Oh, Dong-Yep;Lee, Jea-Young
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.6
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    • pp.1331-1339
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    • 2013
  • 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.