MungeSumstats

MungeSumstats standardizes and performs quality control on GWAS summary statistics to enable consistent downstream analyses such as meta-analysis and integrative genetic studies.

Key Features:

• Standardization: Converts diverse GWAS summary statistic formats, including variant call format (VCF), into a uniform tabular format.
• Quality Control: Applies quality-control checks to detect and correct common summary-statistics issues and preserve data reliability for downstream analyses.
• Output Formats: Supports multiple input formats and exports standardized data as tabular files and R native data objects.

Scientific Applications:

• Reproducibility: Harmonizes summary statistics across studies to improve reproducibility of genetic analyses.
• Meta-analysis: Produces consistently formatted and quality-controlled summary statistics to facilitate meta-analyses.
• Variant integration: Enables integration of genetic variant association results across cohorts for studies of complex traits and diseases.
• Large-scale integrative studies: Supports aggregation of summary statistics from multiple sources for downstream genetic and integrative analyses.

Methodology:

Parses and reformats GWAS summary statistics into a standardized tabular format and applies algorithmic quality-control steps to maintain data integrity and compatibility with downstream analytical tools.