Genetic liability to psoriasis predicts severe disease outcomes

Jake R Saklatvala, Samuel Lessard, Maris Teder-Laving, Laurent F Thomas, Ravi Ramessur, Jonas Zierer, Bjørn Olav Åsvold, Anne Barton, David Baudry, John Bowes, Ben Brumpton, Sandro Bruno, Vinod Chandran, Clément Chatelain, Emanuele de Rinaldis, James T Elder, David Ellinghaus, John Foerster, Andre Franke, Dafna D GladmanWayne Gulliver, Ulrike Hüffmeier, Laura Huilaja, Kristian Hveem, BSTOP study group, Katie Watts, Lavinia Paternoster, Michael Simpson*, et al

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

Background:
Psoriasis is a common inflammatory skin disease with heterogeneous presentation. Up to 30% of individuals have severe disease with a greater surface area of skin involvement, co-morbidity burden and impact on quality of life. Prognostic biomarkers of psoriasis severity could improve allocation of clinical resources and enable earlier intervention to prevent disease progression, and a genetic biomarker would be cost-effective, stable over time, and unaffected by treatment or comorbidity.

Methods:
Psoriasis severity was studied in four European population-based biobanks (Estonian Biobank, HUNT, FinnGen, UK Biobank) and classified based on level of clinical intervention received, with criteria for severe disease including hospitalisation due to psoriasis, use of systemic immunomodulating therapy or phototherapy. Common genetic variants, polygenic risk scores and traditional epidemiological risk factors were tested for association with severe psoriasis in each of the constituent biobanks and combined through meta-analysis. The distribution of psoriasis polygenic risk was also evaluated in a cohort of 4151 participants in the UK-based severe psoriasis registry, BSTOP, and a cohort of 1461 participants from Novartis clinical trials of secukinumab for psoriasis.

Results:
In the population-based datasets, 9738 of 44,904 individuals with psoriasis (21.7%) were classified as having severe disease. Genetic variants within the major histocompatibility complex (MHC) and the TNIP1 and IL12B psoriasis susceptibility loci were associated with severe disease at genome-wide significance (P < 5.0 × 10−8). Furthermore, a strong positive correlation was observed between psoriasis susceptibility and severity effect sizes across all psoriasis susceptibility loci. An individual’s genetic liability to psoriasis as measured with a polygenic risk score (PRS) strongly associated with disease severity, with a magnitude of effect comparable to established severity risk factors such as obesity and smoking. The top 5% of psoriasis cases by genetic liability to psoriasis were 1.23-to-2.00 times as likely than the average psoriasis case to have severe disease. Psoriasis cases in our external validation datasets (BSTOP registry and Novartis clinical trials) were enriched for a PRS that exceeded the 95th percentile established among UK Biobank psoriasis cases by 3.06-fold and 2.32-fold respectively.

Conclusions:
The psoriasis susceptibility PRS demonstrates utility and may be more effective than established epidemiological factors, as a stratification tool to identify those individuals that are at greatest risk of severe disease and may benefit most from early intervention.
Original languageEnglish
Number of pages41
JournalGenome Medicine
Early online date17 Dec 2025
DOIs
Publication statusE-pub ahead of print - 17 Dec 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

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