HisCoM-GGI: Software for Hierarchical structural component analysis of gene-gene interactions
DC Field | Value | Language |
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dc.contributor.author | Choi, Sung kyoung | - |
dc.contributor.author | Lee, Sungyoung | - |
dc.contributor.author | Park, Taesung | - |
dc.date.accessioned | 2021-06-22T11:20:54Z | - |
dc.date.available | 2021-06-22T11:20:54Z | - |
dc.date.created | 2021-02-18 | - |
dc.date.issued | 2018-12 | - |
dc.identifier.issn | 1598-866X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/5047 | - |
dc.description.abstract | Gene-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.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | 한국유전체학회 | - |
dc.title | HisCoM-GGI: Software for Hierarchical structural component analysis of gene-gene interactions | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Choi, Sung kyoung | - |
dc.identifier.doi | 10.5808/GI.2018.16.4.e38 | - |
dc.identifier.bibliographicCitation | Genomics & Informatics, v.16, no.4, pp.1 - 3 | - |
dc.relation.isPartOf | Genomics & Informatics | - |
dc.citation.title | Genomics & Informatics | - |
dc.citation.volume | 16 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 3 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART002427121 | - |
dc.description.journalClass | 2 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | gene-gene interactions | - |
dc.subject.keywordAuthor | generalized structured component analysis | - |
dc.subject.keywordAuthor | genome-wide association study | - |
dc.subject.keywordAuthor | ridge regression | - |
dc.identifier.url | https://genominfo.org/journal/view.php?doi=10.5808/GI.2018.16.4.e38 | - |
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