vGWAS: Perform voxelwise genome-wide association analysis.

In JakubBartoszewicz/RImaGen: Fast Voxelwise Genome-Wide Association Studies in R

Description

Checks for associations prepared SlicedData objects containing flattened image ROIs, genomic data and covariates. Wrapper for Matrix_eQTL_engine.

Usage

vGWAS(snpData, voxelData, cvrt, useModel, prescan,
  errorCovariance = numeric(), pvalue.hist = FALSE)

Arguments

snpData	SlicedData object containing selected SNPs.
voxelData	SlicedData object containing flat voxel ROIs.
cvrt	SlicedData objact containing covariates.
useModel	Regression model to use.
prescan	logical. TRUE for preliminary analysis allowing "winning SNP" ranking.
errorCovariance	numeric. The error covariance matrix. Use numeric() for homoskedastic independent errors.
pvalue.hist	logical, numeric or "qq-plot". Defines whether and how the distribution of p-values is recorded in the returned object. Set to FALSE for a faster analysis. To record information for a histogram set to the number of bins. To record information for a qq-plot, set to qq-plot. Use plot on the returned object.

Value

vGWAS results.

JakubBartoszewicz/RImaGen documentation built on May 8, 2017, 11:21 p.m.