MungeSumstats

MungeSumstats facilitates the standardisation of GWAS summary statistics by reformatting inputs to include SNP, CHR, BP and performing quality control and filtering steps to ensure high data quality and minimise inter-study differences.

Key Features:

• Summary Statistics Reformatting: Reformats inputted summary statistics to include SNP, CHR, and BP.
• Missing Value Lookup: Looks up SNP, CHR, and BP values if any are missing from the input data.
• Quality Control and Filtering: Performs dozens of QC and filtering steps to ensure high data quality and minimise inter-study differences.

Scientific Applications:

• GWAS Summary Statistics Standardisation: Standardises summary statistics from genome-wide association studies to enable cross-study comparison and meta-analysis.

Methodology:

Reformats inputted summary statistics to include SNP, CHR, BP with lookup for missing values, and performs quality control and filtering steps.