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A Transcriptome-Wide Analysis of Psoriasis: Identifying the Potential Causal Genes and Drug Candidates
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jeong, Yeonbin | - |
| dc.contributor.author | Song, Jaeseung | - |
| dc.contributor.author | Lee, Yubin | - |
| dc.contributor.author | Choi, Eunyoung | - |
| dc.contributor.author | Won, Youngtae | - |
| dc.contributor.author | Kim, Byunghyuk | - |
| dc.contributor.author | Jang, Wonhee | - |
| dc.date.accessioned | 2024-08-08T05:30:47Z | - |
| dc.date.available | 2024-08-08T05:30:47Z | - |
| dc.date.issued | 2023-07 | - |
| dc.identifier.issn | 1661-6596 | - |
| dc.identifier.issn | 1422-0067 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/18644 | - |
| dc.description.abstract | Psoriasis 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.extent | 17 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | MDPI | - |
| dc.title | A Transcriptome-Wide Analysis of Psoriasis: Identifying the Potential Causal Genes and Drug Candidates | - |
| dc.type | Article | - |
| dc.publisher.location | 스위스 | - |
| dc.identifier.doi | 10.3390/ijms241411717 | - |
| dc.identifier.scopusid | 2-s2.0-85165957646 | - |
| dc.identifier.wosid | 001035887700001 | - |
| dc.identifier.bibliographicCitation | International Journal of Molecular Sciences, v.24, no.14, pp 1 - 17 | - |
| dc.citation.title | International Journal of Molecular Sciences | - |
| dc.citation.volume | 24 | - |
| dc.citation.number | 14 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 17 | - |
| dc.type.docType | Article | - |
| 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 | NF-KAPPA-B | - |
| dc.subject.keywordPlus | SUSCEPTIBILITY GENES | - |
| dc.subject.keywordPlus | T-CELLS | - |
| dc.subject.keywordPlus | ASSOCIATION | - |
| dc.subject.keywordPlus | EXPRESSION | - |
| dc.subject.keywordPlus | DISEASE | - |
| dc.subject.keywordPlus | SKIN | - |
| dc.subject.keywordPlus | PATHOGENESIS | - |
| dc.subject.keywordPlus | PREVALENCE | - |
| dc.subject.keywordPlus | CANCER | - |
| dc.subject.keywordAuthor | psoriasis | - |
| dc.subject.keywordAuthor | transcriptome-wide association study (TWAS) | - |
| dc.subject.keywordAuthor | colocalization | - |
| dc.subject.keywordAuthor | protein-protein network | - |
| dc.subject.keywordAuthor | drug candidates | - |
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