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A Transcriptome-Wide Analysis of Psoriasis: Identifying the Potential Causal Genes and Drug Candidates

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dc.contributor.authorJeong, Yeonbin-
dc.contributor.authorSong, Jaeseung-
dc.contributor.authorLee, Yubin-
dc.contributor.authorChoi, Eunyoung-
dc.contributor.authorWon, Youngtae-
dc.contributor.authorKim, Byunghyuk-
dc.contributor.authorJang, Wonhee-
dc.date.accessioned2024-08-08T05:30:47Z-
dc.date.available2024-08-08T05:30:47Z-
dc.date.issued2023-07-
dc.identifier.issn1661-6596-
dc.identifier.issn1422-0067-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/18644-
dc.description.abstractPsoriasis is a chronic inflammatory skin disease characterized by cutaneous eruptions and pruritus. Because the genetic backgrounds of psoriasis are only partially revealed, an integrative and rigorous study is necessary. We conducted a transcriptome-wide association study (TWAS) with the new Genotype-Tissue Expression version 8 reference panels, including some tissue and multi-tissue panels that were not used previously. We performed tissue-specific heritability analyses on genome-wide association study data to prioritize the tissue panels for TWAS analysis. TWAS and colocalization (COLOC) analyses were performed with eight tissues from the single-tissue panels and the multi-tissue panels of context-specific genetics (CONTENT) to increase tissue specificity and statistical power. From TWAS, we identified the significant associations of 101 genes in the single-tissue panels and 64 genes in the multi-tissue panels, of which 26 genes were replicated in the COLOC. Functional annotation and network analyses identified that the genes were associated with psoriasis and/or immune responses. We also suggested drug candidates that interact with jointly significant genes through a conditional and joint analysis. Together, our findings may contribute to revealing the underlying genetic mechanisms and provide new insights into treatments for psoriasis.-
dc.format.extent17-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI-
dc.titleA Transcriptome-Wide Analysis of Psoriasis: Identifying the Potential Causal Genes and Drug Candidates-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.3390/ijms241411717-
dc.identifier.scopusid2-s2.0-85165957646-
dc.identifier.wosid001035887700001-
dc.identifier.bibliographicCitationInternational Journal of Molecular Sciences, v.24, no.14, pp 1 - 17-
dc.citation.titleInternational Journal of Molecular Sciences-
dc.citation.volume24-
dc.citation.number14-
dc.citation.startPage1-
dc.citation.endPage17-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalWebOfScienceCategoryBiochemistry & Molecular Biology-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.subject.keywordPlusNF-KAPPA-B-
dc.subject.keywordPlusSUSCEPTIBILITY GENES-
dc.subject.keywordPlusT-CELLS-
dc.subject.keywordPlusASSOCIATION-
dc.subject.keywordPlusEXPRESSION-
dc.subject.keywordPlusDISEASE-
dc.subject.keywordPlusSKIN-
dc.subject.keywordPlusPATHOGENESIS-
dc.subject.keywordPlusPREVALENCE-
dc.subject.keywordPlusCANCER-
dc.subject.keywordAuthorpsoriasis-
dc.subject.keywordAuthortranscriptome-wide association study (TWAS)-
dc.subject.keywordAuthorcolocalization-
dc.subject.keywordAuthorprotein-protein network-
dc.subject.keywordAuthordrug candidates-
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