MetaSubtract

MetaSubtract computes corrected summary statistics by inverting meta-analysis formulas to derive independent meta-GWAS results without individual-level data.

Key Features:

• Analytical Subtraction: Uses inverted meta-analysis formulas to exclude specified cohorts from meta-GWAS summary statistics to produce independent results.
• Versatility Across Methods: Supports fixed-effects inverse-variance and z-score meta-analysis approaches with genomic control correction at different levels.
• High Correlation with Traditional Methods: Produces corrected summary statistics that correlate closely with results from traditional methods.

Scientific Applications:

• Polygenic Scores: Enables construction of unbiased polygenic scores by excluding overlapping validation cohorts from summary-level meta-GWAS data.

Methodology:

Inverts meta-analysis formulas to compute corrected summary statistics from summary-level GWAS inputs, using fixed-effects inverse-variance and z-score approaches with genomic control correction.