gwas {GxEScanR} | R Documentation |
gwas
Description
Run a gwas using genetic data from a binary dosage file
Usage
gwas(data, bdinfo, snps, outfile, skipfile, minmaf, blksize, binary)
Arguments
data |
Data frame containing the subject ID, phenotype and covariates |
bdinfo |
Information about the binary dosage file returned from the BinaryDosage::getbdinfo routine |
snps |
The SNPs to be used in the scan. This may be an integer vector indicate which SNPs to use in the binary dosage file or a character vector of the SNP IDs to use. The value may also be "all", indicating to use all SNPs. The default value is "all". |
outfile |
The file name for the results Can be blank. If the value is "", the results are returned as a data frame. Default value is "" |
skipfile |
The name of the file to write the SNPs that were not used and the reason they weren't used. If the value is blank, there is no output of the unused SNPs. Default value is "". |
minmaf |
Minimum minor allele frequency of SNPs to include in analysis. SNPS that have less than 20 minor alleles observed will be excluded from the analysis regardless of the value of minmaf. A value of 0 indicates to use all the SNPs that have 20 minor alleles observed. Default value is 0. |
blksize |
Size of blocks of SNPs to read in at one time. Larger blocks can improve overall speed but require larger amounts of computer memory. A value of 0 indicates to use the recommended block size. Default value is 0. |
binary |
Logical value indicating if the phenotype is a binary value. Default value is false. |
Value
0
Examples
bdinfo <- readRDS(system.file("extdata/pdata_4_1.bdinfo", package = "GxEScanR"))
covdata <- readRDS(system.file("extdata/covdata.rds", package = "GxEScanR"))
results <- gwas(data = covdata, bdinfo = bdinfo, binary = FALSE)