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GWAS meta-analysis of psoriasis identifies new susceptibility alleles impacting disease mechanisms and therapeutic targets
Journal article   Open access   Peer reviewed

GWAS meta-analysis of psoriasis identifies new susceptibility alleles impacting disease mechanisms and therapeutic targets

Nick Dand, Philip E. Stuart, John Bowes, David Ellinghaus, Joanne Nititham, Jake R. Saklatvala, Maris Teder-Laving, Laurent F. Thomas, Tanel Traks, Steffen Uebe, …
Nature communications, Vol.16(1), 2051
2025
PMCID: PMC11871359
PMID: 40021644
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Published (Version of Record)CC BY V4.0 Open Access

Abstract

45/43 45/91 631/208/205/2138 692/699/4033 Article Humanities and Social Sciences multidisciplinary Science Science (multidisciplinary)
Psoriasis is a common, debilitating immune-mediated skin disease. Genetic studies have identified biological mechanisms of psoriasis risk, including those targeted by effective therapies. However, the genetic liability to psoriasis is not fully explained by variation at robustly identified risk loci. To refine the genetic map of psoriasis susceptibility we meta-analysed 18 GWAS comprising 36,466 cases and 458,078 controls and identified 109 distinct psoriasis susceptibility loci, including 46 that have not been previously reported. These include susceptibility variants at loci in which the therapeutic targets IL17RA and AHR are encoded, and deleterious coding variants supporting potential new drug targets (including in STAP2, CPVL and POU2F3). We conducted a transcriptome-wide association study to identify regulatory effects of psoriasis susceptibility variants and cross-referenced these against single cell expression profiles in psoriasis-affected skin, highlighting roles for the transcriptional regulation of haematopoietic cell development and epigenetic modulation of interferon signalling in psoriasis pathobiology.

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.106 Rheumatology
1.106.737 Psoriasis
Web Of Science research areas
Genetics & Heredity
ESI research areas
Clinical Medicine
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