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The Journal of Investigative Dermatology|February 26, 2018
Research Techniques Made Simple: Using Genome-Wide Association Studies to Understand Complex Cutaneous DisordersLam C Tsoi, Matthew T Patrick, James T Elder
Genome Medicine|August 9, 2022
Enhanced rare disease mapping for phenome-wide genetic association in the UK BiobankMatthew T Patrick, Redina Bardhi, Wei Zhou, et al.
The Journal of Investigative Dermatology|October 21, 2018
Drug Repurposing Prediction for Immune-Mediated Cutaneous Diseases using a Word-Embedding-Based Machine Learning ApproachMatthew T Patrick, Kalpana Raja, Keylonnie Miller, et al.
Bioinformatics (Oxford, England)|December 7, 2014
Graphical algorithm for integration of genetic and biological data: proof of principle using psoriasis as a modelLam C Tsoi, James T Elder, Goncalo R Abecasis
The British Journal of Dermatology|June 28, 2022
Alcohol consumption and smoking in relation to psoriasis: a Mendelian randomization studyJiahe Wei, Jiahao Zhu, Huiqing Xu, et al.
NAR Genomics and Bioinformatics|July 21, 2025
Loopsim: enrichment analysis of chromosome conformation capture with fast empirical distribution simulationGideon Shaked, Haihan Zhang, Zhaolin Zhang, et al.
Nature Communications|November 3, 2022
Shared genetic risk factors and causal association between psoriasis and coronary artery diseaseMatthew T Patrick, Qinmengge Li, Rachael Wasikowski, et al.
Scientific Reports|June 18, 2017
Machine learning workflow to enhance predictions of Adverse Drug Reactions (ADRs) through drug-gene interactions: application to drugs for cutaneous diseasesKalpana Raja, Matthew Patrick, James T Elder, et al.
The Journal of Investigative Dermatology|February 25, 2019
Making New Connections-Chromosome Conformation Capture for Identification of Disease-Associated Target GenesMatthew T Patrick, Lam C Tsoi, Johann E Gudjonsson
The Journal of Allergy and Clinical Immunology|January 24, 2021
Associations between COVID-19 and skin conditions identified through epidemiology and genomic studiesMatthew T Patrick, Haihan Zhang, Rachael Wasikowski, et al.
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