OVA

OVA prioritizes genetic variants from exome sequencing to identify candidate disease-causing mutations by integrating ontology-based biomedical knowledge.

Key Features:

• Phenotype-driven prioritization: Uses user-provided phenotypic information to assign biological context to genetic variants and align candidates with the query traits.
• Knowledge-based framework: Integrates multiple biomedical ontologies to bridge information across genes, diseases, phenotypes, tissues, and pathways.
• Variant filtering: Reduces candidate sets by filtering based on genotype and predicted effects on protein sequences.
• Variant scoring: Scores filtered variants according to their biological relevance to the query phenotype.
• Integration of human and model organism data: Combines evidence from human studies and model organisms to enhance variant prioritization.
• Performance validation: Has been tested against known and novel disease mutations with comparative analyses indicating improved accuracy relative to recently developed tools.

Scientific Applications:

• Mendelian disease gene discovery: Prioritizes candidate pathogenic variants from exome sequencing datasets to support identification of genes underlying Mendelian diseases.

Methodology:

Assigns phenotype context, integrates multiple biomedical ontologies linking genes, diseases, phenotypes, tissues, and pathways, filters variants by genotype and predicted effects on protein sequences, scores variants by biological relevance to the query phenotype, and incorporates human and model organism data.