get_GI_network: Get gene-interaction network.
In martini: GWAS Incorporating Networks

Description Usage Arguments Value References Examples

Creates a network of SNPs where each SNP is connected as in the GM network and, in addition, to all the other SNPs pertaining to any interactor of the gene it is mapped to. Corresponds to the gene-interaction (GI) network described by Azencott et al.

get_GI_network(
  gwas,
  organism,
  snpMapping = snp2gene(gwas, organism),
  ppi = get_ppi(organism),
  col_ppi = c("gene1", "gene2"),
  col_genes = c("snp", "gene")
)

`gwas`	A SnpMatrix object with the GWAS information.
`organism`	Tax ID of the studied organism. Required if snpMapping is not provided.
`snpMapping`	A data.frame informing how SNPs map to genes. It contains minimum two columns: SNP id and a gene it maps to. Each row corresponds to one gene-SNP mapping. Unless column names are specified using `col_genes`, involved columns must be named `'snp'` and `'gene'`.
`ppi`	A data.frame describing protein-protein interactions with at least two colums. Gene ids must be the contained in snpMapping. Unless column names are specified using `col_ppi`, involved columns must be named `gene1` and `gene2`.
`col_ppi`	Optional, length-2 character vector with the names of the two columns involving the protein-protein interactions.
`col_genes`	Optional, length-2 character vector with the names of the two columns involving the SNP-gene mapping. The first element is the column of the SNP, and the second is the column of the gene.

An igraph network of the GI network of the SNPs.

Azencott, C. A., Grimm, D., Sugiyama, M., Kawahara, Y., & Borgwardt, K. M. (2013). Efficient network-guided multi-locus association mapping with graph cuts. Bioinformatics, 29(13), 171-179. https://doi.org/10.1093/bioinformatics/btt238