Circular genomic permutation approach uses GWAS results to establish the significance of pathway/gene-set associations whilst accounting for genomic structure. All SNPs in the GWAS are placed in a 'circular genome' according to their location. Then the complete set of SNP association p-values are permuted by rotation with respect to the SNPs' genomic locations. Two testing frameworks are available: permutations at the gene level, and permutations at the SNP level. The permutation at the gene level uses fisher's combination test to calculate a single gene p-value, followed by the hypergeometric test. The SNP count methodology maps each SNP to pathways/gene-sets and calculates the proportion of SNPs for the real and the permutated datasets above a pre-defined threshold. Genomicper requires a matrix of GWAS association p-values. The SNPs annotation and pathways annotations can be performed within the package or provided by the user.
Version: | 1.6 |
Depends: | R (≥ 2.10) |
Imports: | stats, grDevices, utils, graphics, DBI |
Suggests: | KEGG.db, reactome.db, AnnotationDbi |
Published: | 2016-07-05 |
Author: | Claudia P. Cabrera, Pau Navarro, Chris S.Haley |
Maintainer: | Claudia Cabrera <c.cabrera at qmul.ac.uk> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | genomicper results |
Reference manual: | genomicper.pdf |
Package source: | genomicper_1.6.tar.gz |
Windows binaries: | r-devel: genomicper_1.6.zip, r-release: genomicper_1.6.zip, r-oldrel: genomicper_1.6.zip |
macOS binaries: | r-release: genomicper_1.6.tgz, r-oldrel: genomicper_1.6.tgz |
Old sources: | genomicper archive |
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