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graph-GPA
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graph-GPA

graph-GPA is a tool to prioritize the genome-wide association study (GWAS) results and to examine multiple phenotypes. The graph-GPA algorithm uses a hidden Markov random field method.



graph-GPA

graph-GPA is a tool to prioritize the genome-wide association study (GWAS) results and to examine multiple phenotypes. The graph-GPA algorithm uses a hidden Markov random field method.

Topic

GWAS study; Genotype and phenotype; Epigenetics

Details

  • Operation: Genotyping; Enrichment analysis; Regression analysis
  • Software interface: Library
  • Language: R;C++
  • Operating system: Linux
  • License: GNU General Public License v>=2
    • Cost: Free
  • Version name: 0.9.6
  • Credit: The National Institutes of Health (NIH), the U.S. Department of Veterans Affairs (VA) Office of Research and Development grants, Million Veteran Program.
  • Contact: Dongjun Chung dongjun.chung _at_ gmail.com | Hang J. Kim hang.kim _at_ uc.edu
  • Collection: -

Publications

Chung D, Kim HJ, Zhao H "graph-GPA: A graphical model for prioritizing GWAS results and investigating pleiotropic architecture." PLoS Comput. Biol. 2017; 13(2):e1005388 https://doi.org/10.1371/journal.pcbi.1005388
PMID: 28212402
PMCID: PMC5347371


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