Mouse Genome Informatics (MGI)

Mouse Genome Informatics (MGI) provides an integrated, curated resource of genomic, genetic, and biological data for laboratory mice to support genotype–phenotype relationships and translational studies linking mouse and human biology.

Key Features:

• Unified catalog: Comprehensive listing of genes, genome features, functional RNAs, quantitative trait loci (QTL), and phenotypic loci.
• Gene Ontology annotations: Curated functional annotations for mouse genes using the Gene Ontology framework.
• Mammalian Phenotype annotations: Phenotype annotations using the Mammalian Phenotype Ontology.
• Data integration: Curation and integration of experimentally derived and computationally generated datasets.
• Human-Mouse disease connections: Human-Mouse: Disease Connection linking mouse genotypes and phenotypes to human diseases.
• Nomenclature authority: Authoritative nomenclature for genes, genome features, alleles, and strains following the International Committee on Standardized Genetic Nomenclature for Mice.
• Search paradigms: Updated search paradigms for phenotypic allele attributes.
• Incidental mutation data: Incorporation of data on incidental mutations.
• Gene–microRNA interaction module: Module for displaying and exploring interactions between genes and microRNAs.
• Genome browser integration: Integration of the JBrowse genome browser.

Scientific Applications:

• Translational research: Supports the use of mouse models in translational studies by linking genetic and phenotypic data.
• Cross-species disease association: Establishes gene–phenotype–disease relationships between mouse and human biology.
• Nomenclature standardization: Provides standardized names for genes, genome features, alleles, and strains to support comparative genetics.
• Functional and phenotype analysis: Enables functional hypothesis generation and phenotype-driven research through Gene Ontology and Mammalian Phenotype Ontology annotations.

Methodology:

Curates and integrates experimentally derived and computationally generated datasets; annotates genes with Gene Ontology terms and phenotypes with the Mammalian Phenotype Ontology; implements the Human-Mouse: Disease Connection, updated search paradigms for phenotypic allele attributes, incidental mutation data integration, a gene–microRNA interaction module, and JBrowse genome browser integration.