PhenoExam: gene set analyses through integration of different phenotype databases.

Area of Science:

• Bioinformatics
• Computational Biology
• Genetics

Background:

• Gene set enrichment analysis is crucial for understanding genetic diseases.
• Phenotype-oriented analysis requires specialized tools for gene sets.
• Existing methods may lack precision in distinguishing similar phenotypes.

Purpose of the Study:

• To introduce PhenoExam, an R package and web application.
• To enable phenotype and disease enrichment analysis on gene sets.
• To measure phenotype similarities and detect differential terms across databases.

Main Methods:

• PhenoExam performs phenotype and disease enrichment analysis.
• It calculates statistically significant phenotype similarities between gene sets.
• The tool detects significant differential phenotypes or disease terms across databases.

Main Results:

• PhenoExam provides sensitive and accurate phenotype enrichment.
• It effectively segregates gene sets and diseases with similar phenotypes.
• The tool demonstrated utility in distinguishing Parkinson's and dystonia, and in validating epilepsy-associated genes.

Conclusions:

• PhenoExam is a valuable, freely available resource for gene set analysis.
• It aids in distinguishing diseases with highly similar phenotypes.
• The package and web app are accessible for researchers and developers.