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Updated: Oct 18, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
MungeSumstats: a Bioconductor package for the standardization and quality control of many GWAS summary statistics
Alan E Murphy1,2, Brian M Schilder1,2, Nathan G Skene1,2
1UK Dementia Research Institute at Imperial College London, London W12 0BZ, UK.
Motivation:
Genome-wide association studies (GWAS) summary statistics have popularized and accelerated genetic research. However, a lack of standardization of the file formats used has proven problematic when running secondary analysis tools or performing meta-analysis studies.
Results:
To address this issue, we have developed MungeSumstats, a Bioconductor R package for the standardization and quality control of GWAS summary statistics. MungeSumstats can handle the most common summary statistic formats, including variant call format (VCF) producing a reformatted, standardized, tabular summary statistic file, VCF or R native data object.
Availability And Implementation:
MungeSumstats is available on Bioconductor (v 3.13) and can also be found on Github at: https://neurogenomics.github.io/MungeSumstats.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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