webTWAS

webTWAS integrates GWAS summary statistics with multiple TWAS methods to identify and prioritize gene–disease associations across tissues.

Key Features:

• Comprehensive Database Integration: Aggregates 1,298 high-quality European GWAS summary statistics and reports 235,064 prioritized gene–disease associations.
• Multiple TWAS Software Packages: Calculates associations using seven statistical models implemented in MetaXcan, FUSION, and UTMOST, supporting single-tissue (MetaXcan, FUSION) and cross-tissue (UTMOST) expression imputation.
• Tissue-Specific Enrichment Analysis: Performs enrichment analysis to identify tissues significantly associated with gene–disease links.
• Custom TWAS Analyses: Accepts external GWAS summary statistics and allows selection among multiple TWAS models for customized association analyses.

Scientific Applications:

• Gene–Disease Association Discovery: Identifies and prioritizes putative causal genes across a wide range of human diseases using aggregated GWAS data and TWAS models.
• Support for TWAS Methodology Development: Provides a standardized resource for comparing and applying multiple TWAS statistical models to GWAS summary statistics.

Methodology:

Aggregation of high-quality European GWAS summary statistics; calculation of gene–disease associations using seven statistical models across MetaXcan, FUSION, and UTMOST; single-tissue expression imputation with MetaXcan and FUSION and cross-tissue imputation with UTMOST; and tissue-specific enrichment analysis.