process_correlations: Combine Variant Correlation Data

Description Usage Arguments Details Value

View source: R/variant_correlation.R

Description

process_correlations Combines all variant correlation information with phenotype data from GWAS mappings

Usage

1
process_correlations(df, gene_information = gene_functions)

Arguments

df

is a list object that is output from the variant_correlation function

gene_information

is a data.frame that contains gene information, the column gene_id (WBGene....) must be present to join to snpeff output. Default is a data frame that contains gene_id, concise_description, provisional_description, and gene_class_description

Details

Function to combine phenotype, mapping, and gene information from variant_correlation function output.

Value

Outputs a data frame that contains phenotype data, mapping data, and gene information for highly correlated variants in a particular QTL confidence interval.


AndersenLab/cegwas documentation built on March 6, 2020, 1:10 a.m.