Orthodisease

Orthodisease catalogs orthologs of disease-associated genes across species to enable cross-species inference of genetic disease relationships.

Key Features:

• Enhanced Species Coverage: 14-fold increased species coverage compared to previous versions, enabling broader analysis of orthologous relationships across diverse taxa.
• InParanoid-Based Methodology: Ortholog identification is performed using the InParanoid algorithm via pairwise comparisons of protein sequences between species.
• Disease Gene Focus: Contains a curated list of human disease-associated genes and their corresponding orthologs across multiple species.
• Taxonomic Distribution Analysis: Provides taxonomic distribution data for orthologs of human disease-related genes to assess evolutionary conservation and divergence.
• Hypothesis Testing on Paralogs: Supports investigation of paralog abundance, with data indicating that known heritable disease genes tend to have fewer close paralogs.

Scientific Applications:

• Model organism selection: Identify potential model organisms for studying specific human diseases by mapping orthologs.
• Evolutionary pattern analysis: Investigate evolutionary conservation and divergence patterns that may influence disease susceptibility or resistance.
• Functional conservation analysis: Explore conservation of gene function across species to inform functional genomics studies.

Methodology:

Orthologs were identified using the InParanoid algorithm through pairwise comparisons of protein sequences between species.