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HisCoM-GGI: Software for Hierarchical structural component analysis of gene-gene interactions

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dc.contributor.authorChoi, Sung kyoung-
dc.contributor.authorLee, Sungyoung-
dc.contributor.authorPark, Taesung-
dc.date.accessioned2021-06-22T11:20:54Z-
dc.date.available2021-06-22T11:20:54Z-
dc.date.created2021-02-18-
dc.date.issued2018-12-
dc.identifier.issn1598-866X-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/5047-
dc.description.abstractGene-gene interaction (GGI) analysis is known to play an important role in explaining missing heritability. Many previous studies have already proposed software to analyze GGI, but most methods focus on a binary phenotype in a case-control design. In this study, we developed “Hierarchical structural CoMponent analysis of Gene-Gene Interactions” (HisCoM-GGI) software for GGI analysis with a continuous phenotype. The HisCoM-GGI method considers hierarchical structural relationships between genes and single nucleotide polymorphisms (SNPs), enabling both gene-level and SNP-level interaction analysis in a single model. Furthermore, this software accepts various types of genomic data and supports data management and multithreading to improve the efficiency of genome-wide association study data analysis. We expect that HisCoM-GGI software will provide advanced accessibility to researchers in genetic interaction studies and a more effective way to understand biological mechanisms of complex diseases.-
dc.language영어-
dc.language.isoen-
dc.publisher한국유전체학회-
dc.titleHisCoM-GGI: Software for Hierarchical structural component analysis of gene-gene interactions-
dc.typeArticle-
dc.contributor.affiliatedAuthorChoi, Sung kyoung-
dc.identifier.doi10.5808/GI.2018.16.4.e38-
dc.identifier.bibliographicCitationGenomics & Informatics, v.16, no.4, pp.1 - 3-
dc.relation.isPartOfGenomics & Informatics-
dc.citation.titleGenomics & Informatics-
dc.citation.volume16-
dc.citation.number4-
dc.citation.startPage1-
dc.citation.endPage3-
dc.type.rimsART-
dc.identifier.kciidART002427121-
dc.description.journalClass2-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorgene-gene interactions-
dc.subject.keywordAuthorgeneralized structured component analysis-
dc.subject.keywordAuthorgenome-wide association study-
dc.subject.keywordAuthorridge regression-
dc.identifier.urlhttps://genominfo.org/journal/view.php?doi=10.5808/GI.2018.16.4.e38-
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ERICA 과학기술융합대학 (ERICA 수리데이터사이언스학과)
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