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

Yeonbin Jeong, Jaeseung Song, Yubin Lee, Eunyoung Choi, Youngtae Won, Byunghyuk Kim, Wonhee Jang

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

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.

Original languageEnglish
Article number11717
JournalInternational Journal of Molecular Sciences
Volume24
Issue number14
DOIs
StatePublished - Jul 2023

Keywords

  • colocalization
  • drug candidates
  • protein–protein network
  • psoriasis
  • transcriptome-wide association study (TWAS)

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