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Updated: Aug 14, 2026

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
ShinyGAStool: A user-friendly tool for candidate gene association studies
Thomas J Hoffmann1,2,3, Christine Miaskowski3,4, Kord M Kober3,4,5
1Department of Epidemiology and Biostatistics, University of California, San Francisco, CA.
Abstract:
A major barrier to the analysis of genotyping and sequencing data is the relative complexity of the tools needed to perform the analysis. We developed shinyGAStool, an open source tool that enables the user to perform a candidate gene association analysis from large datasets in an easy to use tool from a web browser. With a 3-step workflow, shinyGAStool allows the user to (1) identify and explore distributions of the phenotype and covariates, (2) select genes and variants to evaluate, and (3) run an association analysis linking the two.
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