This package provides an association test that is capable of dealing with very rare and even private variants. This is accomplished by a kernel-based approach that takes the positions of the variants into account. The test can be used for pre-processed matrix data, but also directly for variant data stored in VCF files. Association testing can be performed whole-genome, whole-exome, or restricted to pre-defined regions of interest. The test is complemented by tools for analyzing and visualizing the results.

Versions 1.10.0, 1.12.0, 1.8.0
License GPL (>= 2)
Links biotools: podkat, doi: 10.1038/nmeth.3252


With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-podkat

and update with:

conda update bioconductor-podkat


A Docker container is available at