Registration Open for Bioc2024 July 24-26


Asessing statistical significance in predictive GWA studies

Bioconductor version: Release (3.19)

Testing individual SNPs, as well as arbitrarily large groups of SNPs in GWA studies, using a joint model of all SNPs. The method controls the FWER, and provides an automatic, data-driven refinement of the SNP clusters to smaller groups or single markers.

Author: Laura Buzdugan

Maintainer: Laura Buzdugan <buzdugan at>

Citation (from within R, enter citation("hierGWAS")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

User manual for R-Package hierGWAS PDF R Script
Reference Manual PDF


biocViews Clustering, LinkageDisequilibrium, SNP, Software
Version 1.34.0
In Bioconductor since BioC 3.2 (R-3.2) (8.5 years)
License GPL-3
Depends R (>= 3.2.0)
Imports fastcluster, glmnet, fmsb
System Requirements
See More
Suggests BiocGenerics, RUnit, MASS
Linking To
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package hierGWAS_1.34.0.tar.gz
Windows Binary
macOS Binary (x86_64) hierGWAS_1.34.0.tgz
macOS Binary (arm64) hierGWAS_1.34.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats