View Related Documents

Abstract

Understanding the functions encoded in the mouse genome will be central to an understanding of the genetic basis of human disease. To achieve this it will be essential to be able to characterize the phenotypic consequences of variation and alterations in individual genes. Data on the phenotypes of mouse strains are currently held in a number of different forms (detailed descriptions of mouse lines, first-line phenotyping data on novel mutations, data on the normal features of inbred lines) at many sites worldwide. For the most efficient use of these data sets, we have initiated a process to develop standards for the description of phenotypes (using ontologies) and file formats for the description of phenotyping protocols and phenotype data sets. This process is ongoing and needs to be supported by the wider mouse genetics and phenotyping communities to succeed. We invite interested parties to contact us as we develop this process further.
The Mouse Phenotype Database Integration Consortium currently comprises: John M. Hancock1, Niels C. Adams2, Vassilis Aidinis3, Andrew Blake1, Judith A. Blake4, Molly Bogue4, Steve D. M. Brown1, Elissa Chesler5, Duncan Davidson6, Christopher Duran1, Janan T. Eppig4, Valérie Gailus-Durner7, Hilary Gates1, Georgios V. Gkoutos8, Simon Greenaway1, Martin Hrabé De Angelis7, George Kollias3, Sophie Leblanc9, Kirsty Lee6, Christoph Lengger7, Holger Maier7, Ann-Marie Mallon1, Hiroshi Masuya10, David G. Melvin2, Werner Müller12, Helen Parkinson13, Glenn Proctor13, Eli Reuveni14, Paul Schofield15, Aadya Shukla16, Cynthia Smith4, Tetsuro Toyoda10, Laurent Vasseur9, Shigeharu Wakana10, Alison Walling17, Jacqui White2, Joe Wood17, Michalis Zouberakis3
An erratum to this article can be found at http://dx.doi.org/10.1007/s00335-008-9099-8

Fulltext Preview

Image of the first page of the fulltext document