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.
