Learn R Programming

statgenQTLxT

statgenQTLxT is an R package for fast multi-trait and multi-trial Genome Wide Association Studies (GWAS).

statgenQTLxT has extensive options for summarizing and visualizing results. It builds on the statgenGWAS package (for single trait GWAS) which is available from CRAN. The package uses data structures and plots defined in the statgenGWAS package. It is recommended to read the vignette of this package, accessible in R via vignette(package = "statgenGWAS") or online at https://biometris.github.io/statgenGWAS/articles/GWAS.html to get a general idea of those.

For a full description of the theoretical background and a fully worked example see the vignette.

Installation

  • Install from CRAN:
install.packages("statgenQTLxT")
  • Install latest development version from GitHub (requires remotes package):
remotes::install_github("Biometris/statgenQTLxT", ref = "develop", dependencies = TRUE)

Copy Link

Version

Install

install.packages('statgenQTLxT')

Monthly Downloads

228

Version

1.0.3

License

GPL-3

Maintainer

Bart-Jan van Rossum

Last Published

July 23rd, 2025

Functions in statgenQTLxT (1.0.3)

covUnstr

Compute unstructured covariance
estEffTot

Helper function for estimating effect
runMultiTraitGwas

Perform multi-trait GWAS
updateFAHomVar

Update W and P in EMFA algorithm for homogeneous variance.
updateFA

Update W and P in EMFA algorithm
statgenQTLxT-package

statgenQTLxT: Multi-Trait and Multi-Trial Genome Wide Association Studies
gDataDropsRestr

Subset of DROPS data for use in examples
EMFA

Factor analytic variation of EM algoritm
LLQuadFormDiagCPP

Compute tYPY as in Zhou and Stephens eqn. 50.
estEffsCPP

Estimates for covariates
updatePrec

Helper function for updating precision matrix.
exclMarkers

Select markers to be excluded from GWAS scan.