Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Mathieu Emily, Nicolas Sounac, Florian Kroell, Magalie Houée-Bigot
Title: Gene-Based Methods to Detect Gene-Gene Interaction in R: The GeneGeneInteR Package
Abstract: GeneGeneInteR is an R package dedicated to the detection of an association between a case-control phenotype and the interaction between two sets of biallelic markers (single nucleotide polymorphisms or SNPs) in case-control genome-wide associations studies. The development of statistical procedures for searching gene-gene interaction at the SNP-set level has indeed recently grown in popularity as these methods confer advantage in both statistical power and biological interpretation. However, all these methods have been implemented in home made softwares that are for most of them available only on request to the authors and at best have a web interface. Since the implementation of these methods is not straightforward, there is a need for a user-friendly tool to perform gene-based genegene interaction. The purpose of GeneGeneInteR is to propose a collection of tools for all the steps involved in gene-based gene-gene interaction testing in case-control association studies. Illustrated by an example of a dataset related to rheumatoid arthritis, this paper details the implementation of the functions available in GeneGeneInteR to perform an analysis of a collection of SNP sets. Such an analysis aims at addressing the complete statistical pipeline going from data importation to the visualization of the results through data manipulation and statistical analysis.

Page views:: 399. Submitted: 2016-10-17. Published: 2020-10-12.
Paper: Gene-Based Methods to Detect Gene-Gene Interaction in R: The GeneGeneInteR Package     Download PDF (Downloads: 97)
Supplements:
GeneGeneInteR_1.15.1.tar.gz: R source package Download (Downloads: 6; 1MB)
v95i12.R: R replication code Download (Downloads: 8; 5KB)

DOI: 10.18637/jss.v095.i12

by
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.