ancGWAS

ancGWAS is a software tool for identifying subnetworks of underlying ethnic differences in multi-factorial disease risk in a newly admixed population. The ancGWAS algorithm combines GWAS data with protein-protein interaction (PPI) networks.

Topic

Genetics;Population genetics;Molecular interactions, pathways and networks

Detail

  • Operation: Nucleic acid sequence analysis;Pathway or network analysis

  • Software interface: Command-line user interface

  • Language: Python

  • License: -

  • Cost: -

  • Version name: -

  • Credit: National Institutes of Health (NIH), the Government of Canada via the International Development Research Centre (IDRC) through the African Institute for Mathematical Sciences - Next Einstein Initiative (AIMS-NEI).

  • Input: -

  • Output: -

  • Contact: Nicola J. Mulder Nicola.Mulder@uct.ac.za, Emile R. Chimusa emile.chimusa@uct.ac.za

  • Collection: -

  • Maturity: -

Publications

  • ancGWAS: a post genome-wide association study method for interaction, pathway and ancestry analysis in homogeneous and admixed populations.
  • Chimusa ER, Mbiyavanga M, Mazandu GK, Mulder NJ. ancGWAS: a post genome-wide association study method for interaction, pathway and ancestry analysis in homogeneous and admixed populations. Bioinformatics. 2016 Feb 15;32(4):549-56. doi: 10.1093/bioinformatics/btv619. Epub 2015 Oct 27. PMID: 26508762; PMCID: PMC5939890.
  • https://doi.org/10.1093/bioinformatics/btv619
  • PMID: 26508762
  • PMC: PMC5939890

Download and documentation

    Currently not available or not maintained.

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