Genetic liability to psoriasis predicts severe disease outcomes
Saklatvala, J. R.; Lessard, S.; Teder-Laving, M.; Thomas, L. F.; Ramessur, R.; Asvold, B. O.; Barton, A.; Baudry, D.; Bowes, J.; Brumpton, B.; Chandran, V.; Chatelain, C.; de Rinaldis, E.; Elder, J. T.; Ellinghaus, D.; Foerster, J.; Franke, A.; Gladman, D. D.; Gulliver, W.; Hüffmeier, U.; Huilaja, L.; Hveem, K.; Khader, S.; Kingo, K.; Klinger, K.; Koks, S.; Liao, W.; Nair, R. P.; Nititham, J.; Rahman, P.; Reis, A.; Stuart, P. E.; Tasanen, K.; Traks, T.; Tsoi, L. C.; Uebe, S.; Watts, K.; BSTOP study group, ; Barker, J. N.; Mahil, S. K.; Langan, S. M.; FinnGen, ; Estonian Biobank research tea
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BackgroundPsoriasis 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. MethodsPsoriasis severity was studied in four European population-based biobanks 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 4 151 participants in the UK-based severe psoriasis registry, BSTOP. ResultsIn the population-based datasets, 9 738 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<5.0x10-8). Furthermore, a strong positive correlation was observed between psoriasis susceptibility and severity effect sizes across all psoriasis susceptibility loci. An individuals 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 the BSTOP severe disease registry were 3.10-fold enriched for a PRS that exceeded the 95th percentile established among UK Biobank psoriasis cases. ConclusionsThe 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.
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