GIANT 2.0

GIANT 2.0 provides genome-scale tissue-specific functional network predictions and network-based re-prioritization of Genome-Wide Association Study (GWAS) signals to analyze gene function and disease associations across human tissues.

Key Features:

• Tissue-specific functional predictions: Predicts functional roles of genes within specific tissues and captures how these roles change across different tissue and cell types using tissue- and cell-type-specific networks.
• Integration of diverse data sources: Integrates data from over 61,400 experiments encompassing 283 human tissues and cell types to construct genome-scale functional maps.
• Multi-network visualization: Produces multi-network visualizations that represent gene interactions across tissue-specific networks.
• NetWAS (Network-based Association Studies): Applies NetWAS to re-prioritize statistical associations from GWAS using predicted tissue- or cell-type networks to identify candidate disease-associated genes.

Scientific Applications:

• Hypothesis generation: Generates hypotheses about tissue-specific gene functions and interactions for experimental follow-up.
• Disease gene identification: Re-prioritizes GWAS signals with NetWAS to nominate genes associated with diseases in specific tissues.
• Pathway analysis: Analyzes pathways across different tissues to investigate variation in biological processes and pathway membership.

Methodology:

Integrates data from over 61,400 experiments across 283 human tissues and cell types to predict tissue-specific functional networks and applies NetWAS (Network-based Association Studies) to re-prioritize GWAS associations.