Disease insights through cross-species phenotype comparisons

Area of Science:

• Genomics and Bioinformatics
• Rare Disease Research
• Comparative Phenotyping

Background:

• Next-generation sequencing accelerates rare disease diagnosis and mutation discovery.
• Interpreting numerous candidate variants from exome/genome analyses remains a significant challenge.
• Phenotypic comparison to orthologous genes offers a powerful variant interpretation strategy.

Purpose of the Study:

• To review challenges in comparing human clinical phenotypes with mouse phenotypes.
• To present solutions developed by the Monarch Initiative for cross-species phenotyping.
• To highlight the Exomiser software for integrated patient exome analysis.

Main Methods:

• Leveraging data from Mouse Genome Informatics and the International Mouse Phenotyping Consortium.
• Utilizing Monarch Initiative tools for comparing human and mouse phenotypic profiles.
• Integrating variant frequency, predicted pathogenicity, and phenotypic similarity in Exomiser.

Main Results:

• Identification of overlooked mouse models for established disease-gene associations.
• Prioritization of candidate genes for novel disease associations.
• Enabling clinical researchers to analyze patient exomes within a phenotypic context.

Conclusions:

• Cross-species phenotyping, particularly using mouse models, is crucial for rare disease variant interpretation.
• Monarch Initiative tools and Exomiser provide effective solutions for integrating diverse data.
• This approach enhances diagnostic capabilities and facilitates the discovery of new disease-gene links.