ArticleBriefings in bioinformatics2024
Novel genetic insight for psoriasis: integrative genome-wide analyses in 863 080 individuals and proteome-wide Mendelian randomization.
Article in Briefings in bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed.
- Artificial Intelligence-Driven Antimicrobial Peptide Discovery: Prediction, Generation, Mining and Optimization.Probiotics and antimicrobial proteins · 2026Review
- Integrated multi-omics strategies for identifying novel therapies in psoriasis.Bioinformatics (Oxford, England) · 2026Article
- Multi‑omics and their integration in psoriasis research (Review).Molecular medicine reports · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Psoriasis affects a significant proportion of the worldwide population and causes an extremely heavy psychological and physical burden. The existing therapeutic schemes have many deficiencies such as limited efficacies and various side effects. Therefore, novel ways of treating psoriasis are urgently needed. A large-scale meta-analysis of psoriasis genome-wide association studies (GWAS) totaling 20 105 cases and 842 975 controls was conducted. Based on the GWAS results, Mendelian randomization (MR) analyses were then performed on three cis-protein quantitative trait loci (pQTL) data in blood. Furthermore, druggability verification and mouse knock-out models were utilized to explore the clinical value of screened proteins. We identified 42 genome-wide significant psoriasis risk variants (P < 5 × 10-8), of which 33 were previously unreported. MR analyses unveiled 19 unique circulating proteins that were associated with psoriasis, among which only AIF1, FCGR3A, NEU1, HSPA1A, TNXB, and ABO were the potential proteins that interacted with psoriasis risk after being analyzed with high evidence of colocalization (PP.H4 > 0.9). In addition, AIF1, FCGR3A, and HSPA1A have been finally determined to be feasible therapeutic targets for psoriasis after being confirmed by druggability verification and specific mouse knock-out models. This large-scale GWAS meta-analysis identified 33 new variants for psoriasis. This study announced that AIF1, FCGR3, and HSPA1A were the unexplored but material variants of psoriasis, thus providing novel and valuable targets for psoriasis treatment and broadening new orientation of drug development for psoriasis.
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Registered trials
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.