MetaGenyo

MetaGenyo performs meta-analysis of genetic association studies to combine results across studies and assess genotype-phenotype associations while addressing heterogeneity and publication bias.

Key Features:

• Hardy-Weinberg Equilibrium Test: Performs Hardy-Weinberg equilibrium testing on control populations to evaluate allele frequency consistency under random mating.
• Statistical Association Analysis for Different Genetic Models: Conducts association analyses across multiple genetic models to evaluate variant-phenotype relationships.
• Analysis of Heterogeneity: Assesses variability among studies to determine whether differences in results reflect study-specific factors or random variation.
• Testing for Publication Bias: Evaluates the presence of publication bias to detect selective reporting of positive findings.
• Subgroup Analysis: Performs subgroup-specific analyses to identify differential effects or associations within defined cohorts.
• Robustness Testing of Results: Tests the stability and reliability of meta-analysis outcomes under varying conditions.

Scientific Applications:

• Enhancing statistical power: Increases the combined statistical power of genetic association studies by aggregating evidence across studies.
• Resolving discrepancies across studies: Helps identify sources of study-to-study differences through heterogeneity assessment and subgroup analysis.
• Identifying genotype-phenotype associations: Aids in detecting genuine associations between genetic variants and phenotypes by integrating multiple studies and testing robustness.
• Mitigating publication bias: Supports more balanced interpretation of evidence by detecting potential selective reporting.

Methodology:

Implements Hardy-Weinberg equilibrium testing, statistical association analyses across genetic models, heterogeneity analysis, publication bias testing, subgroup analysis, and robustness testing of meta-analysis results.