geneticsCRE is an R package that performs pathway-based genome-wide association study (PGWAS) to identify statistically significant associations between variants on a gene regulatory pathways and a given phenotype. Unlike Genome-wide association study (GWAS), that seeks to assign statistical significance to associations of variations in single genes to a phenotype, PGWAS accumulates statistical power by examining rare variant along gene-gene interaction pathways. PGWAS uses prior causal information a gene regulatory interactions to infer statistically significant associations between causal pathways and a the phenotype. Given phenotype data with case/control information, geneticsCRE computes PGWAS for all valid pathways as identified by the Homo Sapien STRINGdb causal network. Examples on usage are provided in the vignette.
|Author||Carl Tony Fakhry and Kourosh Zarringhalam|
|Maintainer||Carl Tony Fakhry <[email protected]>|
|Package repository||View on GitHub|
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