A framework for comparing phenotype annotations of orthologous genes

Area of Science:

• Comparative genomics
• Biomedical informatics
• Translational research

Background:

• Phenotype annotation is crucial for understanding gene function in disease.
• Comparing phenotypes across species is challenging due to non-standardized annotations.
• Orthologous genes provide a basis for cross-species comparisons.

Purpose of the Study:

• To propose a standardized framework for comparing phenotype annotations of orthologous genes.
• To leverage existing biomedical literature (Medline) for cross-species phenotype data.
• To facilitate comparative studies between human and animal models.

Main Methods:

• Downloaded 17,769 mouse-human orthologous gene pairs from MGI.
• Linked genes to biomedical articles via Entrez Gene.
• Extracted disease-related MeSH terms from Medline for phenotype annotation.

Main Results:

• 11,111 gene pairs had phenotype annotations for both species.
• 81% of pairs shared at least one phenotype annotation.
• Significant percentages of unique annotations were found for human (80%) and mouse (84%) genes.
• Four disease categories accounted for 54% of all annotations.

Conclusions:

• The proposed framework standardizes phenotype comparison across species.
• Enables hypothesis generation for translational research.
• Supports improved curation of gene phenotype data.