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Genome-wide analysis of haplotype interaction for the data from the North American Rheumatoid Arthritis Consortium
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Jungsun | - |
dc.contributor.author | Namkung, Junghyun | - |
dc.contributor.author | Jhun, Mina | - |
dc.contributor.author | Park, Taesung | - |
dc.date.accessioned | 2017-03-27T00:45:54Z | - |
dc.date.available | 2017-03-27T09:50:47Z | - |
dc.date.issued | 2009-12-15 | - |
dc.identifier.citation | BMC Proceedings, 3(Suppl 7):S34 | ko_KR |
dc.identifier.uri | https://hdl.handle.net/10371/109987 | - |
dc.description.abstract | Recent 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.iso | en | ko_KR |
dc.publisher | BioMed Central | ko_KR |
dc.title | Genome-wide analysis of haplotype interaction for the data from the North American Rheumatoid Arthritis Consortium | ko_KR |
dc.type | Article | ko_KR |
dc.contributor.AlternativeAuthor | 박정선 | - |
dc.contributor.AlternativeAuthor | 남궁정현 | - |
dc.contributor.AlternativeAuthor | 전미나 | - |
dc.contributor.AlternativeAuthor | 박태성 | - |
dc.identifier.doi | 10.1186/1753-6561-3-S7-S34 | - |
dc.language.rfc3066 | en | - |
dc.rights.holder | Park et al; licensee BioMed Central Ltd. | - |
dc.date.updated | 2017-01-06T10:52:12Z | - |
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