HisCoM-GxE: Hierarchical Structural Component Analysis of Gene-Based Gene-Environment Interactions
DC Field | Value | Language |
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dc.contributor.author | Choi, Sungkyoung | - |
dc.contributor.author | Lee, Sungyoung | - |
dc.contributor.author | Huh, Iksoo | - |
dc.contributor.author | Hwang, Heungsun | - |
dc.contributor.author | Park, Taesung | - |
dc.date.accessioned | 2021-06-22T06:00:21Z | - |
dc.date.available | 2021-06-22T06:00:21Z | - |
dc.date.created | 2021-01-21 | - |
dc.date.issued | 2020-09 | - |
dc.identifier.issn | 1661-6596 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/926 | - |
dc.description.abstract | Gene-environment interaction (GxE) studies are one of the most important solutions for understanding the "missing heritability" problem in genome-wide association studies (GWAS). Although many statistical methods have been proposed for detecting and identifying GxE, most employ single nucleotide polymorphism (SNP)-level analysis. In this study, we propose a new statistical method, Hierarchical structural CoMponent analysis of gene-based Gene-Environment interactions (HisCoM-GxE). HisCoM-GxE is based on the hierarchical structural relationship among all SNPs within a gene, and can accommodate all possible SNP-level effects into a single latent variable, by imposing a ridge penalty, and thus more efficiently takes into account the latent interaction term of GxE. The performance of the proposed method was evaluated in simulation studies, and we applied the proposed method to investigate gene-alcohol intake interactions affecting systolic blood pressure (SBP), using samples from the Korea Associated REsource (KARE) consortium data. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | - |
dc.title | HisCoM-GxE: Hierarchical Structural Component Analysis of Gene-Based Gene-Environment Interactions | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Choi, Sungkyoung | - |
dc.identifier.doi | 10.3390/ijms21186724 | - |
dc.identifier.scopusid | 2-s2.0-85090863111 | - |
dc.identifier.wosid | 000581246500001 | - |
dc.identifier.bibliographicCitation | International Journal of Molecular Sciences, v.21, no.18, pp.1 - 12 | - |
dc.relation.isPartOf | International Journal of Molecular Sciences | - |
dc.citation.title | International Journal of Molecular Sciences | - |
dc.citation.volume | 21 | - |
dc.citation.number | 18 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 12 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Biochemistry & Molecular Biology | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalWebOfScienceCategory | Biochemistry & Molecular Biology | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
dc.subject.keywordPlus | GENOME-WIDE ASSOCIATION | - |
dc.subject.keywordPlus | BLOOD | - |
dc.subject.keywordAuthor | gene& | - |
dc.subject.keywordAuthor | #8211 | - |
dc.subject.keywordAuthor | environment interactions | - |
dc.subject.keywordAuthor | generalized structured component analysis (GSCA) | - |
dc.subject.keywordAuthor | genome-wide association study (GWAS) | - |
dc.identifier.url | https://www.scopus.com/record/display.uri?eid=2-s2.0-85090863111&origin=inward&txGid=344edae3c1cc7c22769c87b991164cdb | - |
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