International Mammalian Genome Society

17th International Mouse Genome Conference

9-12 November 2003, Braunschweig, Germany


POSTER 174 - WEBQTL: WEB-BASED COMPLEX TRAIT ANALYSIS

Manly KF
Roswell Park Cancer Institute

Co-Authors: 1) Wang J. 2) Chesler E S. 2) Williams R W
Institutions: 1) Roswell Park Cancer Institute, 2) University of Tennessee Health Science Center

WebQTL is a Web-based software service for complex trait analysis and transcriptional network analysis in recombinant inbred lines of mice. WebQTL combines fast software for mapping quantitative trait loci (QTLs) with software for searching for correlations among traits. These functions are supported by genotype and trait data that are not easily obtainable elsewhere. WebQTL includes curated genotype data for five sets of mouse recombinant inbred lines and one advanced intercross. Thus, to identify QTLs, geneticists need provide only quantitative trait data from one of the supported populations. WebQTL has an integrated database of trait data from BXD recombinant inbred lines, including a variety of physiological and behavioral data and gene expression data from forebrain, cerebellum, and hematopoietic stem cells. The expression data is derived from hybridizations with mouse oligonucleotide microarrays (Affymetrix U74Av2 or M430). Thus, WebQTL can define RNA expression that correlates with higher-order phenotypes and QTLs that control either RNA expression or phenotypes. To make WebQTL more versatile and to help integrate it with other resources, recent enhancement of WebQTL includes development of a scriptable CGI interface. This interface allows automated searches and retrieval of information under control of simple scripts, and it returns results in a form that can easily be processed by scripts.

WebQTL is supported by the Informatics Center for Mouse Neurogenetics, a Human Brain Project/Neuroinformatics program funded jointly by the NIMH, NIDA, and NSF (P20MH62009) and by the NIAAA (U01AA13499 and U24AA13513).


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