innerEpi: Epistasis Detection Inner one Chromosome

In FRGEpistasis: Epistasis Analysis for Quantitative Traits by Functional Regression Model

Description

Detect epistasis between 2 genes (or genomic regions) both of which are on the same chromosome.

Usage

innerEpi(pheno, gstnd, geno_expn, gname, gchr)

Arguments

pheno	Vector of phenotype data which can be quantitative trait or binary trait.
gstnd	Vector of indexes which indicates the start indexes and end indexes of expansed genotype of each gene on current chromosome in the matrix "geno_expn".
geno_expn	Matrix of expansed genotype data of all the genes.
gname	Vector of gene names on current chromosome.
gchr	Vector of Chromosome number of current chromosome.

Details

This function tests the epistasis between 2 genes both of which are on the same chromosome. It takes expansed genotype data as the input. First the data of the gene are extracted from "geno_expn" with "gstnd" and "gname". Then the function "fRGInteraction" will be called.

Value

Return a matrix which contains the gene names of the gene pairs and the p values of chi-squared test for the epistasis of the gene pairs.

Author(s)

Futao Zhang

Examples

smp_num<-1000
number_basis<-9
pheno<-sample(c(0:500),smp_num,replace=TRUE)
gname<-c("g1","g2")
gstnd<-c(0,5,9)
smpl<-runif(number_basis*smp_num, 0.0, 1.0)
geno_expn<-matrix(smpl,smp_num,number_basis)
gchr<-c(1,1)
innerEpi(pheno,gstnd,geno_expn,gname,gchr)

FRGEpistasis documentation built on Nov. 8, 2020, 5:51 p.m.