A Transcriptome-Wide Analysis of Psoriasis: Identifying the Potential Causal Genes and Drug Candidatesopen access
- Authors
- Jeong, Yeonbin; Song, Jaeseung; Lee, Yubin; Choi, Eunyoung; Won, Youngtae; Kim, Byunghyuk; Jang, Wonhee
- Issue Date
- Jul-2023
- Publisher
- MDPI
- Keywords
- psoriasis; transcriptome-wide association study (TWAS); colocalization; protein-protein network; drug candidates
- Citation
- International Journal of Molecular Sciences, v.24, no.14, pp 1 - 17
- Pages
- 17
- Indexed
- SCIE
SCOPUS
- Journal Title
- International Journal of Molecular Sciences
- Volume
- 24
- Number
- 14
- Start Page
- 1
- End Page
- 17
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/18644
- DOI
- 10.3390/ijms241411717
- ISSN
- 1661-6596
1422-0067
- 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.
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Collections - College of Life Science and Biotechnology > Department of Life Science > 1. Journal Articles

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