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statgenGWAS: Genome Wide Association Studies

Fast single trait Genome Wide Association Studies (GWAS) following the method described in Kang et al. (2010), <doi:10.1038/ng.548>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris.

Version:1.0.12
Depends:R (≥ 3.6)
Imports:data.table,ggplot2 (≥ 3.0.0),LMMsolver, methods,rlang,Rcpp,sommer (≥ 4.4.1)
LinkingTo:Rcpp,RcppArmadillo
Suggests:knitr,rmarkdown,officer,tinytest,snpStats,vcfR
Published:2025-07-01
DOI:10.32614/CRAN.package.statgenGWAS
Author:Bart-Jan van RossumORCID iD [aut, cre], Willem KruijerORCID iD [aut], Fred van EeuwijkORCID iD [ctb], Martin BoerORCID iD [ctb], Marcos MalosettiORCID iD [ctb], Daniela Bustos-KortsORCID iD [ctb], Emilie MilletORCID iD [ctb], Joao PauloORCID iD [ctb], Maikel VeroudenORCID iD [ctb], Ron WehrensORCID iD [ctb], Choazhi ZhengORCID iD [ctb]
Maintainer:Bart-Jan van Rossum <bart-jan.vanrossum at wur.nl>
BugReports:https://github.com/Biometris/statgenGWAS/issues
License:GPL-3
URL:https://biometris.github.io/statgenGWAS/index.html,https://github.com/Biometris/statgenGWAS/
NeedsCompilation:yes
Materials:README,NEWS
In views:Agriculture
CRAN checks:statgenGWAS results

Documentation:

Reference manual:statgenGWAS.html ,statgenGWAS.pdf
Vignettes:Introduction to the statgenGWAS package (source,R code)

Downloads:

Package source: statgenGWAS_1.0.12.tar.gz
Windows binaries: r-devel:statgenGWAS_1.0.12.zip, r-release:statgenGWAS_1.0.12.zip, r-oldrel:statgenGWAS_1.0.12.zip
macOS binaries: r-release (arm64):statgenGWAS_1.0.12.tgz, r-oldrel (arm64):statgenGWAS_1.0.12.tgz, r-release (x86_64):statgenGWAS_1.0.12.tgz, r-oldrel (x86_64):statgenGWAS_1.0.12.tgz
Old sources: statgenGWAS archive

Reverse dependencies:

Reverse depends:statgenMPP
Reverse imports:statgenIBD,statgenQTLxT

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=statgenGWASto link to this page.


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