• Mouse Phenome Database Analysis 2.0
  • Select MPD Studies:

    About The Mouse Phenome Database:

    The Mouse Phenome Project (MPD) is a database of mouse strain characterizations, to facilitate the study and use of laboratory mice in research. Phenotype and genotype data presented on this web site are voluntarily contributed by researchers from a variety of institutions and settings, or in some cases retrieved by us from open public sources. There are currently 200+ investigators associated with MPD data. MPD goals include:

  • to assist investigators in selecting mouse strains for experiments
  • to provide a standardized platform for discovering genotype/phenotype relationships
  • to provide a standardized collection of reference data on the laboratory mouse

  • Guidelines:
  • Please select the studies you would like to examine using the above form.
  • MPD studies containing 20 or more strains are analyzed.
  • Wild-derived strains are removed from the analysis.
  • For the studies having both male and female genders, we have analyzed each gender separately and included gender as a covariate in a third analysis.
  • Association results for EMMA correction and no population substructure is presented.
  • Association results are plotted in terms of -log10( pvalues ) without multiple testing correction.
  • About:

    Andrew Kirby, Hyun Min Kang, Claire M. Wade, Chris Cotsapas, Emrah Kostem, Buhm Han, Nick Furlotte, Eun Yong Kang, Manuel Rivas, Molly A. Bogue, Kelly A. Frazer, Frank M. Johnson, Erica J. Beilharz, David R. Cox, Eleazar Eskin, Mark J. Daly. ``Fine mapping in 94 inbred mouse strains using a high-density haplotype resource.'' Genetics. 185(3):1081-95, 2010.

    EMMA is a statistical test for model organisms association mapping correcting for the confounding from population structure and genetic relatedness. EMMA takes advantage of the specific nature of the optimization problem in applying mixed models for association mapping, which allows us to sustantially increase the computational speed and the reliability of the results. The full details are described in Efficient Control of Population Structure in Model Organism Association Mapping.