DOI: 10.18129/B9.bioc.GPA  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see GPA.

GPA (Genetic analysis incorporating Pleiotropy and Annotation)

Bioconductor version: 3.16

This package provides functions for fitting GPA, a statistical framework to prioritize GWAS results by integrating pleiotropy information and annotation data. In addition, it also includes ShinyGPA, an interactive visualization toolkit to investigate pleiotropic architecture.

Author: Dongjun Chung, Emma Kortemeier, Carter Allen

Maintainer: Dongjun Chung <dongjun.chung at>

Citation (from within R, enter citation("GPA")):


To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:



PDF R Script GPA
PDF   Reference Manual
Text   NEWS


biocViews Classification, Clustering, DifferentialExpression, GeneExpression, Genetics, GenomeWideAssociation, MultipleComparison, Preprocessing, SNP, Software, StatisticalMethod
Version 1.10.0
In Bioconductor since BioC 3.11 (R-4.0) (3 years)
License GPL (>= 2)
Depends R (>= 4.0.0), methods, graphics, Rcpp
Imports parallel, ggplot2, ggrepel, plyr, vegan, DT, shiny, shinyBS, stats, utils, grDevices
LinkingTo Rcpp
Suggests gpaExample
SystemRequirements GNU make
Depends On Me
Imports Me
Suggests Me
Links To Me
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Source Package GPA_1.10.0.tar.gz
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