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A Phenotyping Regimen for Genetically Modified Mice Used to Study Genes Implicated in Human Diseases of Aging
Published on: July 14, 2016
A gene-phenotype network for the laboratory mouse and its implications for systematic phenotyping
Octavio Espinosa1, John M Hancock
1Bioinformatics Group, MRC Mammalian Genetics Unit, Harwell, Oxfordshire, United Kingdom.
Plos One
|June 1, 2011
Summary
Mouse knockout models and the Mammalian Phenotype ontology reveal complex gene-phenotype networks. High-granularity phenotyping is crucial for understanding human disease pathways and gene functions.
Area of Science:
- Genomics
- Systems Biology
- Bioinformatics
Background:
- Laboratory mice are essential models for studying human diseases.
- Comprehensive gene knockout resources are available for phenotypic characterization.
- The Mammalian Phenotype ontology standardizes genotype-phenotype associations.
Purpose of the Study:
- To construct and analyze gene and phenotype networks using publicly available data.
- To investigate the structural and organizational properties of these networks.
- To assess the relevance of mouse phenotyping to human disease.
Main Methods:
- Utilized publicly available data annotated with the Mammalian Phenotype ontology.
- Constructed gene and phenotype networks representing genotype-phenotype associations.
- Analyzed network properties including community structure and enrichment for biological data.
Main Results:
- Gene and phenotype networks exhibit scale-free, hierarchical, and modular structures with distinct community organization.
- Networks show enrichment for gene coexpression, protein-protein interactions, and Gene Ontology similarity.
- Phenotype communities demonstrate a many-to-many relationship with human disease communities, with stronger overlap at finer levels of detail.
Conclusions:
- Systematic phenotyping of knockout mice provides insights into biological pathways.
- The pleiotropic nature of genes contributes to diffuse phenotype distribution.
- High-granularity phenotyping is recommended to enhance the translational relevance of mouse models to human diseases.
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