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Mouse Phenome Database: an integrative database and analysis suite for curated empirical phenotype data from
Molly A Bogue1, Stephen C Grubb1, David O Walton1
1The Jackson Laboratory, Bar Harbor, Maine 04609, USA.
Nucleic Acids Research
|November 15, 2017
Summary
The Mouse Phenome Database (MPD) offers comprehensive mouse genetic and phenotyping data for researchers worldwide. It supports diverse analyses, including trait co-inheritance and sex-specific genetic effects, advancing mouse model development.
Area of Science:
- Genetics
- Genomics
- Bioinformatics
Background:
- The Mouse Phenome Database (MPD) is a critical resource for mouse genetic studies.
- It aggregates primary experimental trait data, genotypic variation, and protocols from global investigators.
- Data encompass diverse phenotyping endpoints and disease-related traits in various mouse models.
Purpose of the Study:
- To provide a centralized, accessible platform for mouse phenome data.
- To facilitate the analysis of genetic variation, trait co-inheritance, and sex-specific genetic effects.
- To support the development of new mouse models and the assessment of experimental reproducibility.
Main Methods:
- Data curation using ontologies and controlled vocabularies.
- Integration of primary animal data with detailed, searchable protocols.
- Expansion to include QTL Archive, Collaborative Cross, and Diversity Outbred mouse data.
Main Results:
- MPD provides access to a broad scope of phenotyping data from inbred and diverse mouse populations.
- The database supports rigorous curation, enabling data accumulation over time and across laboratories.
- It offers tools for assessing experimental replicability, benchmarking assays, and identifying genetic backgrounds for new models.
Conclusions:
- MPD is an invaluable resource for advancing mouse genetic research and understanding complex traits.
- The database facilitates the identification of genetic underpinnings of diseases and trait variations.
- MPD empowers researchers to analyze sex differences, sex-by-genotype interactions, and improve experimental design.

