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Quantitative Trait Cluster Association Test in R

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Quantitative Trait Cluster Association Test

This project has no active development and is unmaintained.

Description:

All SNPs are jointly associated to the phenotype and at the same time correlation among them is considered. Thus, correction for population structure becomes unnecessary, which in many cases results in a power advantages compared to other methods.

Klasen, J. R. et al. (2016). A multi-marker association method for genome-wide association studies without the need for population structure correction. Nature Communications. Paper

Installation:

The package can be installed from an R console via devtools (If you haven't yet installed devtools please do so first).

# install.packages("devtools")
devtools::install_github("QTCAT/qtcat") 

Example:

The qtcatQtc-function example gives an overview of the functionality of the package and can be accessed once the package is loaded.

library(qtcat)
example(qtcatQtc, run.dontrun = TRUE)

The data used in the example can be found under inst/extdata

There is also a Arabidopsis example available.


License © 2016 JR Klasen

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