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This is the development version of gwasurvivr; for the stable release version, see gwasurvivr.

gwasurvivr: an R package for genome wide survival analysis

Bioconductor version: Development (3.20)

gwasurvivr is a package to perform survival analysis using Cox proportional hazard models on imputed genetic data.

Author: Abbas Rizvi, Ezgi Karaesmen, Martin Morgan, Lara Sucheston-Campbell

Maintainer: Abbas Rizvi <aarizv at>

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


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

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

# The following initializes usage of Bioc devel


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:

gwasurvivr Vignette HTML R Script
Reference Manual PDF


biocViews BiomedicalInformatics, GeneticVariability, Genetics, GenomeWideAssociation, Pharmacogenomics, Regression, SNP, Software, Survival
Version 1.23.0
In Bioconductor since BioC 3.8 (R-3.5) (5.5 years)
License Artistic-2.0
Depends R (>= 3.4.0)
Imports GWASTools, survival, VariantAnnotation, parallel, matrixStats, SummarizedExperiment, stats, utils, SNPRelate
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Suggests BiocStyle, knitr, rmarkdown
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Follow Installation instructions to use this package in your R session.

Source Package gwasurvivr_1.23.0.tar.gz
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macOS Binary (x86_64) gwasurvivr_1.23.0.tgz
macOS Binary (arm64) gwasurvivr_1.23.0.tgz
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