Abstract #300615

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JSM 2003 Abstract #300615
Activity Number: 37
Type: Invited
Date/Time: Sunday, August 3, 2003 : 4:00 PM to 5:50 PM
Sponsor: Biometrics Section
Abstract - #300615
Title: Functional Genomics of Quantitative Traits: Expression Level Polymorphisms of QTL
Author(s): Rebecca W. Doerge*+
Companies: Purdue University
Address: 1399 Mathematical Science Bldg., West Lafayette, IN, 47907,
Keywords: functional genomics ; statistical genetics ; microarray analysis ; oligonucleotide arrays ; Quantiative Trait Loci ; QTL
Abstract:

In a current experiment sponsored by the National Science Foundation, we are studying the expression-level polymorphisms of quantitative trait loci (QTL) that affect the disease resistance pathways in Arabidopsis. Using both predesigned oligonucleotide Affymetrix GeneChip technology and spotted cDNA microarray technology, gene expression measurements are viewed as quantitative traits and mapped on to the known genetic map of Arabidopsis. The originating parental crosses have been chosen to maximize statistically significant differential expression, and then used to initiate a recombinant inbred population. QTL analysis and gene expression analysis are used in a coordinated manner for the purpose of uncovering regulatory regions or, expression level polymorphisms (ELPs), of the Arabidopsis genes that control quantitative trait loci. An update on this work will be presented along with statistical analyses and simulation results that investigate the many statistical issues that are known to surround both QTL analysis and microarray gene expression analyses.


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