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RSA 2004 Abstracts
COMPLEX TRAIT ANALYSIS IN THE MOUSE
C. Bult, J. Blake, J. Eppig, J, Kadin, M. Ringwald, J. Richardson
Mouse Genome Informatics Consortium, The Jackson Laboratory, Bar Harbor, ME 04609
The ability of researchers to use mouse genomics resources effectively to understand biological processes that are relevant to understanding human disease will depend, in large part, by how well the genes and other features identified in the mouse genome sequence are integrated with the rich biological information about the laboratory mouse that is available from well-curated knowledgebases such as the Mouse Genome Informatics (MGI) database resource (http://www.informatics.jax.org). The MGI database provides extensive information about mouse genes, sequences, alleles, mutant phenotypes, QTLs, strain polymorphisms, functional annotations using the Gene Ontology vocabularies, developmental gene expression patterns, and curated mammalian homology (especially for rat and human) data. MGI is a powerful platform for computational assessment of integrated biological data with the goal of identifying candidate genes associated with complex phenotypes. Supported by NIAAA INIA Consortium Grant 5 U01 AA13524-03
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