Abstract #300200

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JSM 2003 Abstract #300200
Activity Number: 37
Type: Invited
Date/Time: Sunday, August 3, 2003 : 4:00 PM to 5:50 PM
Sponsor: Biometrics Section
Abstract - #300200
Title: Genomic Analysis of Transcriptional Networks: Combining Microarrays with Complex Trait Analysis
Author(s): Robert W. Williams*+
Companies: University of Tennessee
Address: Anatomy and Neurobiology, Memphis, TN, 38163,
Keywords: transcriptome ; QTL ; Bayesian network ; WebQTL ; stem cell ; brain
Abstract:

Variation and dynamics of gene expression are responsible for much of the structural and functional differences among cells, tissues, and organisms. By combining microarray-based assays of mRNA abundance with complex trait analysis it is now practical to systematically detected gene loci that modulate molecular networks and higher level phenotypes. By using an inexhaustible mapping panel that consists of ~30 recombinant inbred strains of mice it is also possible to resample, increase the effective heritability, and improve statistical power. The statistical and computational challenges of high-throughput approaches to complex trait analysis are imposing. For example, it is now possible to simultaneously map 900,000 traits across 1,000 or more markers using a single mapping panel (see www.webqtl.org). I will describe several approaches (permutation analysis, FDR, associational networks, and Bayesian networks) that we are using to understand more about interactions among sets of molecular, neuroanatomical, and behavioral traits.

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