ShinyGAStool: A user-friendly tool for candidate gene association studies

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.

Keywords

• Genetic association
• Regression analysis
• Single nucleotide polymorphism
• R shiny