Evidence map›Paper›PMID 37511476›Full record

ArticleInternational journal of molecular sciences2023

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

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Functional Genomics in Psoriasis.International journal of molecular sciences · 2024
    Review
  5. Review
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Yeonbin JeongDepartment of Life Sciences, Dongguk University, Seoul 04620, Republic of Korea.
Jaeseung SongDepartment of Life Sciences, Dongguk University, Seoul 04620, Republic of Korea.ORCID 0000-0003-2247-3194
Yubin LeeDepartment of Life Sciences, Dongguk University, Seoul 04620, Republic of Korea.
Eunyoung ChoiDepartment of Life Sciences, Dongguk University, Seoul 04620, Republic of Korea.
Youngtae WonDepartment of Life Sciences, Dongguk University, Seoul 04620, Republic of Korea.
Byunghyuk KimDepartment of Life Sciences, Dongguk University-Seoul, Goyang 10326, Republic of Korea.
Wonhee JangDepartment of Life Sciences, Dongguk University, Seoul 04620, Republic of Korea.
Dongguk University · KR

Funding

Korea Environment Industry & Technology Institute 2022003310014National Research Foundation of Korea NRF-2021R1A2C1008804
6 · The paper itself

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.

Indexed as

PsoriasisTranscriptomeGene Expression ProfilingGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansOrgan SpecificityPolymorphism, Single Nucleotidecolocalizationdrug candidatesprotein–protein networkpsoriasistranscriptome-wide association study (TWAS)

Identifiers

PMID37511476
PMCPMC10380797
OpenAlexW4384942262

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.