Related Experiment Video
Updated: Apr 23, 2026

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
EasyStrata: evaluation and visualization of stratified genome-wide association meta-analysis data
Thomas W Winkler1, Zoltan Kutalik2, Mathias Gorski1
1Department of Genetic Epidemiology, University of Regensburg, D-93053 Regensburg, Germany, Department of Medical Genetics, University of Lausanne, CH-1005 Lausanne, Switzerland, Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), CH-1010 Lausanne, Switzerland, Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland, Department of Statistical Bioinformatics, Institute for Functional Genomics, University of Regensburg, D-93053 Regensburg, Germany and Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, A-6020 Innsbruck, Austria.
Unlabelled:
The R package EasyStrata facilitates the evaluation and visualization of stratified genome-wide association meta-analyses (GWAMAs) results. It provides (i) statistical methods to test and account for between-strata difference as a means to tackle gene-strata interaction effects and (ii) extended graphical features tailored for stratified GWAMA results. The software provides further features also suitable for general GWAMAs including functions to annotate, exclude or highlight specific loci in plots or to extract independent subsets of loci from genome-wide datasets. It is freely available and includes a user-friendly scripting interface that simplifies data handling and allows for combining statistical and graphical functions in a flexible fashion.
Availability:
EasyStrata is available for free (under the GNU General Public License v3) from our Web site www.genepi-regensburg.de/easystrata and from the CRAN R package repository cran.r-project.org/web/packages/EasyStrata/.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
More Related Videos
08:27Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
14:56Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
Published on: May 6, 2022
Related Concept Videos
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Evolutionary Relationships through Genome Comparisons