PASTRY

PASTRY performs meta-analysis of genetic association studies with shared control datasets using an accurate correlation estimator to correct power asymmetry.

Key Features:

• Accurate Correlation Estimation: Implements a refined estimator of correlation between summary statistics when studies share public control datasets.
• Power Symmetry Correction: Balances statistical power for detecting protective and risk minor alleles by addressing inaccuracies in correlation approximation present in the Lin and Sullivan framework.

Scientific Applications:

• Genetic Meta-Analysis with Shared Controls: Improves reliability and symmetry of association results in meta-analyses of genetic studies using overlapping control samples.

Methodology:

PASTRY adjusts meta-analytic test statistics by applying an accurate estimator of correlation among studies with shared controls, reducing bias and eliminating power asymmetry in minor allele effect detection.