Advanced SearchSearch Tips
Main Gene Combinations and Genotype Identification of Hanwoo Quality with SNPHarvester
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Main Gene Combinations and Genotype Identification of Hanwoo Quality with SNPHarvester
Bae, Jae-Young; Lee, Jea-Young;
  PDF(new window)
It is known that human disease and the economic traits of livestock are significantly affected by a gene combination effect rather than a single gene effect. Existing methods to study this gene combination effect have disadvantages such as heavy computing, cost and time; therefore, to overcome those drawbacks, the SNPHarvester was developed to find the main gene combinations. In this paper, we looked for gene combinations using an adjusted linear regression model. This research finds that superior gene combinations which are related to the quality of the Korean beef cattle among sets of SNPs using SNPHarvester. We also identify the superior genotypes using a decision tree that can enhance the various qualities of Korean beef among selected a SNP combination.
 Cited by
방사형그래프를 활용한 한우의 품질관련 주요 유전자 상호작용 효과 규명,이제영;배재영;이진목;오동엽;이성원;

Journal of the Korean Data and Information Science Society, 2013. vol.24. 1, pp.151-159 crossref(new window)
Major gene identification for SREBPs and FABP4 gene which are associated with fatty acid composition of Korean cattle, Journal of the Korean Data and Information Science Society, 2015, 26, 3, 677  crossref(new windwow)
Major gene interactions effect identification on the quality of Hanwoo by radial graph, Journal of the Korean Data and Information Science Society, 2013, 24, 1, 151  crossref(new windwow)
Casas, E., White, S. N., Riley, D. G., Smith, T. P. L., Brenneman, R. A., Olson, T. A., Johnson, D. D., Coleman, S. W., Bennett, G. L. and Chase, C. C. (2005). Assessment of single nucleotide ploymorphisms in genes residing on chromosomes 14 and 29 for association with carcass composition traits in Bosindicus cattle, Journal of Animal Science, 83, 13-19.

Lee, J. Y. and Jin, M. H. (2012). Major gene interaction identification in Hanwoo by adjusted environmental effects, Journal of the Korean Data & information Society, 23, 467-474. crossref(new window)

Lee, J. Y. and Kim, D. C. (2009). Identify major gene-gene interaction effects using SNPHarvester, Communications of the Korean Statistical Society, 16, 915-923. crossref(new window)

Lee, J. Y., Kwon, J.-C. and Kim, J.-J. (2008). Multifactor dimensionality reduction(MDR) analysis to detect single nucleotide poly- morphisms associated with a carcass trait in a Hanwoo population, Asian Australasian Journal of Animal Sciences, 6, 784-788.

Lee, J. Y. and Lee, J. H. (2010). Support vector machine and multifactor dimensionality reduction for detecting major gene interactions of continuous data, Journal of the Korean Data & information Science Society, 21, 1271-1280.

Oh, D. Y., Lee, T. S., La, B. M., Yeo, J. S., Chung, E. Y., Kim, Y. Y. and Lee, C. Y. (2011). Fatty acid composition of beef is associated with exonic nucleotide variants of the gene encoding FASN, Molecular Biology Reports, 39, 4083-4090.

Ritchie, M. D., Hahn, L. W., Roodi, N., Bailey, L. R., Dupont, W. D., Parl, F. F. and Moore, J. H. (2001). Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer, American Journal of Human Genetics, 69, 138-147. crossref(new window)

Yang, C., He, Z.,Wan, X., Yang, Q., Xue, H. and Yu,W. (2009). SNPHarvester: A filtering-based approach for detecting epistatic interactions in genome-wide association studies, Bioinformatics, 25, 504-511. crossref(new window)