GLM.func: GWAS by GLM

In wcrump/GWASP: GWAS with PCA

Description

Perform GWAS using a general linear model method incorporating principle components and additional covariates if present.

Usage

GLM.func(X = NULL, y = NULL, C = NULL, PCs = 1, r = 0.2)

Arguments

X	A matrix of genotype data with dimensions n x m
y	A matrix of phenotype data with dimensions n x 1
C	A matrix of covariate data with dimensions n x t
PCs	A matrix of principle components with dimensions n x ? (variable number of PCs)
r	A numeric (0-1) indicating the correlation value of any PC-covariate pair at which the PC will be exluded from model

Value

A matrix of p values with dimensions 1 x m

wcrump/GWASP documentation built on April 4, 2020, 5:54 a.m.