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cff-version: 1.2.0
message: 'To cite package "GGPA" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'GGPA: graph-GPA: A graphical model for prioritizing GWAS results and investigating
  pleiotropic architecture'
version: 1.24.0
doi: 10.32614/CRAN.package.GGPA
abstract: Genome-wide association studies (GWAS) is a widely used tool for identification
  of genetic variants associated with phenotypes and diseases, though complex diseases
  featuring many genetic variants with small effects present difficulties for traditional
  these studies. By leveraging pleiotropy, the statistical power of a single GWAS
  can be increased. This package provides functions for fitting graph-GPA, a statistical
  framework to prioritize GWAS results by integrating pleiotropy. 'GGPA' package provides
  user-friendly interface to fit graph-GPA models, implement association mapping,
  and generate a phenotype graph.
authors:
- family-names: Chung
  given-names: Dongjun
  email: dongjun.chung@gmail.com
- family-names: Kim
  given-names: Hang J.
- family-names: Allen
  given-names: Carter
repository: https://bioc-release.r-universe.dev
repository-code: https://github.com/dongjunchung/GGPA/
commit: 04f920158205f777468f5a2ff5a858d4c5e52358
url: https://github.com/dongjunchung/GGPA/
date-released: '2020-02-25'
contact:
- family-names: Chung
  given-names: Dongjun
  email: dongjun.chung@gmail.com