Large scale meta-analysis characterizes genetic architecture for common psoriasis associated variants

Lam C. Tsoi, Philip E. Stuart, Chao Tian, Johann E. Gudjonsson, Sayantan Das, Matthew Zawistowski, Eva Ellinghaus, Jonathan N. Barker, Vinod Chandran, Nick Dand, Kristina Callis Duffin, Charlotta Enerbäck, Tõnu Esko, Andre Franke, Dafna D. Gladman, Per Hoffmann, Külli Kingo, Sulev Kõks, Gerald G. Krueger, Henry W. LimAndres Metspalu, Ulrich Mrowietz, Sören Mucha, Proton Rahman, Andre Reis, Trilokraj Tejasvi, Richard Trembath, John J. Voorhees, Stephan Weidinger, Michael Weichenthal, Xiaoquan Wen, Nicholas Eriksson, Hyun M. Kang, David A. Hinds, Rajan P. Nair, Gonçalo R. Abecasis, James T. Elder*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

217 Citations (Scopus)
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Psoriasis is a complex disease of skin with a prevalence of about 2%. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for psoriasis to date, including data from eight different Caucasian cohorts, with a combined effective sample size >39,000 individuals. We identified 16 additional psoriasis susceptibility loci achieving genome-wide significance, increasing the number of identified loci to 63 for European-origin individuals. Functional analysis highlighted the roles of interferon signalling and the NF B cascade, and we showed that the psoriasis signals are enriched in regulatory elements from different T cells (CD8 + T-cells and CD4 + T-cells including T H 0, T H 1 and T H 17). The identified loci explain â 1/428% of the genetic heritability and generate a discriminatory genetic risk score (AUC=0.76 in our sample) that is significantly correlated with age at onset (p=2 × 10 â '89). This study provides a comprehensive layout for the genetic architecture of common variants for psoriasis.

Original languageEnglish
Article number15382
JournalNature Communications
Publication statusPublished - 24 May 2017


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