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Genome-wide analysis of haplotype interaction for the data from the North American Rheumatoid Arthritis Consortium

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dc.contributor.authorPark, Jungsun-
dc.contributor.authorNamkung, Junghyun-
dc.contributor.authorJhun, Mina-
dc.contributor.authorPark, Taesung-
dc.date.accessioned2017-03-27T00:45:54Z-
dc.date.available2017-03-27T09:50:47Z-
dc.date.issued2009-12-15-
dc.identifier.citationBMC Proceedings, 3(Suppl 7):S34ko_KR
dc.identifier.urihttps://hdl.handle.net/10371/109987-
dc.description.abstractRecent genome-wide association studies on several complex diseases have focused on individual single-nucleotide polymorphism (SNP) analysis; however, not many studies have reported interactions among genes perhaps because the gene-gene and gene-environment interaction analysis could be infeasible due to heavy computing requirements. In this study we propose a new strategy for exploring the interactions among haplotypes. The proposed method consists of two steps. Step 1 tests the single-SNP association of whole genome with multiple testing corrections and finds the haplotype blocks of the significant SNPs. Step 2 performs interaction analysis of haplotypes within blocks. Our proposed method is applied to the rheumatoid arthritis data for Genetic Analysis Workshop 16.ko_KR
dc.language.isoenko_KR
dc.publisherBioMed Centralko_KR
dc.titleGenome-wide analysis of haplotype interaction for the data from the North American Rheumatoid Arthritis Consortiumko_KR
dc.typeArticleko_KR
dc.contributor.AlternativeAuthor박정선-
dc.contributor.AlternativeAuthor남궁정현-
dc.contributor.AlternativeAuthor전미나-
dc.contributor.AlternativeAuthor박태성-
dc.identifier.doi10.1186/1753-6561-3-S7-S34-
dc.language.rfc3066en-
dc.rights.holderPark et al; licensee BioMed Central Ltd.-
dc.date.updated2017-01-06T10:52:12Z-
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