IMPC

IMPC provides genotype–phenotype annotations for knockout mouse strains across every protein-coding gene in the mouse genome to enable identification of genetic contributions to phenotypic traits and human disease.

Key Features:

• Standardized phenotyping protocols: Adheres to rigorous, highly structured, and standardized protocols across global phenotyping centers to ensure consistent experimentation and data collection.
• Data wrangling and quality control: Data wranglers collate phenotype data from centers and perform quality control on phenotype datasets.
• Automated statistical analysis pipeline: Performs automated statistical analyses to identify knockout strains with significant changes in phenotype parameters.
• Genome-wide coverage: Assembles phenotype data covering every protein-coding gene in the mouse genome.
• Biomedical ontology integration: Integrates biomedical ontologies to standardize phenotype annotation and enable ontology-based phenotype mapping.
• Cross-resource data integration: Integrates phenotype data with external biomedical resources to support comparative analyses.

Scientific Applications:

• Gene function discovery: Enables systematic annotation of gene function by linking knockout genotypes to phenotypic outcomes.
• Human disease modelling: Facilitates identification of mouse models with phenotypes relevant to human disease.
• Genotype–phenotype association: Supports detection of significant genotype–phenotype associations through automated statistical analysis.
• Comparative and integrative analyses: Enables integration of mouse phenotype data with other biomedical resources to relate findings to human health.

Methodology:

Automated statistical analysis pipeline for detecting significant phenotype parameter changes; integration of biomedical ontologies for standardized phenotype annotation; collation and quality control of phenotype data.