Learn R Programming

⚠️There's a newer version (1.1.0) of this package.Take me there.

gtWAS (version 1.0.0)

Genome and Transcriptome Wide Association Study

Description

Quantitative trait loci mapping and genome wide association analysis are used to find candidate molecular marker or region associated with phenotype based on linkage analysis and linkage disequilibrium. Gene expression quantitative trait loci mapping is used to find candidate molecular marker or region associated with gene expression. In this package, we applied the method in Liu W. (2011) and Gusev A. (2016) to genome and transcriptome wide association study, which is aimed at revealing the association relationship between phenotype and molecular markers, expression levels, molecular markers nested within different related expression effect and expression effect nested within different related molecular marker effect. F test based on full and reduced model are performed to obtain p value or likelihood ratio statistic. The best linear model can be obtained by stepwise regression analysis.

Copy Link

Version

Install

install.packages('gtWAS')

Monthly Downloads

157

Version

1.0.0

License

GPL (>= 2)

Maintainer

JunhuiLi

Last Published

January 8th, 2018

Functions in gtWAS (1.0.0)

stepwise

stepwise regression
Tdata

Phenotype data
alldata

Data including base and expression data
gtWAS-package

Genome and Transcriptome Wide Association Study
gtWAS

Genome and Transcriptome Wide Association Study
InfoCriteria

Compute information cirteria statistics
StepOne

Compute minimum p value and information criteria statistics in one step