GUILD

GUILD prioritizes candidate disease genes by applying network topology analysis to protein-protein interaction networks and genome-wide data to identify gene-disease associations.

Key Features:

• Four network-based algorithms: Implements four network-based algorithms specifically tailored for gene prioritization.
• Network topology analysis: Analyzes the topology of interaction networks to capture interplay among disease-associated genes.
• Genome-wide prioritization: Leverages genome-wide data to identify gene-disease associations beyond known linkage intervals.
• Protein-protein interaction networks: Operates on protein-protein interactions and biological pathway topology to inform prioritization.
• Comparative performance: Evaluated against state-of-the-art network topology-based algorithms and reported superior identification of top-ranking genes.
• Disease validation: Applied and validated across disease phenotypes including Alzheimer's disease (AD), diabetes, and AIDS.

Scientific Applications:

• Candidate gene prioritization for complex disorders: Prioritizes genes that may act cooperatively in complex genetic disorders.
• Discovery of novel gene-disease associations: Identifies gene-disease associations that fall outside known linkage intervals.
• Disease-specific gene identification: Highlights top-ranking candidate genes in Alzheimer's disease (AD), diabetes, and AIDS.
• Therapeutic target discovery: Facilitates the identification of novel molecular targets underlying human disease phenotypes.

Methodology:

Implements four network-based algorithms that analyze interaction network topology and leverage genome-wide data beyond known linkage intervals; performance is compared with other network topology-based algorithms and validated on disease phenotypes including Alzheimer's disease (AD), diabetes, and AIDS.