PhenoHM

PhenoHM identifies genes associated with orthologous phenotypes between human and mouse by mapping phenotype vocabularies and biomedical terminologies to enable cross-species phenome-genomics analysis.

Key Features:

• Integration of phenotype data: Integrates mouse phenotype observations derived from mouse gene knockout studies with human clinical phenotype concepts.
• Mammalian Phenotype Ontology (MPO) support: Leverages the Mammalian Phenotype Ontology (MPO) as the structured vocabulary for mouse phenotype information.
• Human biomedical terminology mapping: Maps human disease concepts and clinical findings using the Unified Medical Language System (UMLS) and the Online Mendelian Inheritance in Man (OMIM) knowledgebase.
• Reciprocal cross-species mapping: Performs reciprocal term mapping between MPO and human-centered biomedical terminologies to relate phenotypes across species.
• Gene implication extraction: Extracts implicated genes from mapped phenotype terms to connect phenotypes with candidate genes.
• Phenotype–gene association extrapolation: Extrapolates phenotype–gene associations across species to identify genes that induce similar phenotypic outcomes in human and mouse.

Scientific Applications:

• Candidate disease-gene identification: Prioritizes genes that may underlie human disease by linking human phenotypes to mouse knockout phenotypes.
• Cross-species phenome-genomics: Facilitates comparative analysis of phenomes to study conserved gene functions between human and mouse.
• Translational annotation of mouse models: Maps mouse model phenotypes to human clinical concepts for interpretation of model relevance.
• Discovery of novel disease-causal genes: Supports identification of genes with conserved phenotype effects that are potential novel disease causes.
• Functional genomics prioritization: Enables selection of genes for experimental validation based on cross-species phenotype concordance.

Methodology:

Performs reciprocal mapping of terms between the Mammalian Phenotype Ontology (MPO) and human biomedical terminologies (UMLS, OMIM) to extract implicated genes and extrapolate phenotype–gene associations across human and mouse.