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Psoriasis: HELP
Articles by Matthew T. Patrick
Based on 1 article published since 2008
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Between 2008 and 2019, Matthew T. Patrick wrote the following article about Psoriasis.
 
+ Citations + Abstracts
1 Article Genetic signature to provide robust risk assessment of psoriatic arthritis development in psoriasis patients. 2018

Patrick, Matthew T / Stuart, Philip E / Raja, Kalpana / Gudjonsson, Johann E / Tejasvi, Trilokraj / Yang, Jingjing / Chandran, Vinod / Das, Sayantan / Callis-Duffin, Kristina / Ellinghaus, Eva / Enerbäck, Charlotta / Esko, Tõnu / Franke, Andre / Kang, Hyun M / Krueger, Gerald G / Lim, Henry W / Rahman, Proton / Rosen, Cheryl F / Weidinger, Stephan / Weichenthal, Michael / Wen, Xiaoquan / Voorhees, John J / Abecasis, Gonçalo R / Gladman, Dafna D / Nair, Rajan P / Elder, James T / Tsoi, Lam C. ·Department of Dermatology, University of Michigan Medical School, Ann Arbor, 48109, MI, USA. · Morgridge Institute for Research, Madison, 53715, WI, USA. · Ann Arbor Veterans Affairs Hospital, Ann Arbor, 48105, MI, USA. · Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, 48109, MI, USA. · Department of Human Genetics, Emory University School of Medicine, Atlanta, 30322, GA, USA. · Department of Medicine, Division of Rheumatology, University of Toronto, Toronto, Ontario, M5G 2C4, Canada. · Centre for Prognosis Studies in the Rheumatic Diseases, Krembil Research Institute, University of Toronto, Toronto, Ontario, M5T 2S8, Canada. · Institute of Medical Science, University of Toronto, Toronto, Ontario, M5S 1A8, Canada. · Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, M5S 1A8, Canada. · Department of Dermatology, University of Utah, Salt Lake City, Utah, 84132, USA. · Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, 24105, Germany. · Department of Dermatology, Linköping University, Linköping, SE-581 83, Sweden. · Estonian Genome Center, University of Tartu, Tartu, 51010, Estonia. · Broad Institute of MIT and Harvard, Cambridge, Massachusetts, 02142, USA. · Department of Dermatology, Henry Ford Hospital, Detroit, 48202, MI, USA. · Memorial University, St. John's, Newfoundland and Labrador, A1B 3X9, Canada. · Division of Dermatology, Toronto Western Hospital, University of Toronto, Toronto, M5G 2C4, Ontario, Canada. · Department of Dermatology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, 24105, Germany. · Department of Dermatology, University of Michigan Medical School, Ann Arbor, 48109, MI, USA. alextsoi@med.umich.edu. · Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, 48109, MI, USA. alextsoi@med.umich.edu. · Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, 4810, MI, USA. alextsoi@med.umich.edu. ·Nat Commun · Pubmed #30301895.

ABSTRACT: Psoriatic arthritis (PsA) is a complex chronic musculoskeletal condition that occurs in ~30% of psoriasis patients. Currently, no systematic strategy is available that utilizes the differences in genetic architecture between PsA and cutaneous-only psoriasis (PsC) to assess PsA risk before symptoms appear. Here, we introduce a computational pipeline for predicting PsA among psoriasis patients using data from six cohorts with >7000 genotyped PsA and PsC patients. We identify 9 new loci for psoriasis or its subtypes and achieve 0.82 area under the receiver operator curve in distinguishing PsA vs. PsC when using 200 genetic markers. Among the top 5% of our PsA prediction we achieve >90% precision with 100% specificity and 16% recall for predicting PsA among psoriatic patients, using conditional inference forest or shrinkage discriminant analysis. Combining statistical and machine-learning techniques, we show that the underlying genetic differences between psoriasis subtypes can be used for individualized subtype risk assessment.