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Activity Number:
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37
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Type:
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Invited
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Date/Time:
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Sunday, August 8, 2004 : 4:00 PM to 5:50 PM
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Sponsor:
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ENAR
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| Abstract - #300316 |
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Title:
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Statistical Methods for Constructing Genetic Effect Network between QTL, Gene Expressions, and Phenotypes
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Author(s):
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Zhao-Bang Zeng*+
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Companies:
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North Carolina State University
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Address:
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Dept. of Statistics, Raleigh, NC, 29695-7566,
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Keywords:
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gene expression ; QTL-mapping ; genetic effect network ; factor analysis
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Abstract:
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Microarray gene expression technology has recently been used in QTL (quantitative trait loci) mapping studies to map QTL that regulate the expression of genes. In this kind of study, mRNA abundance of many genes is measured from tissue samples in a number of segregating individuals by using microarray. Phenotypic values of a few quantitative traits and genome-wide molecular markers are also measured in each segregating individual. With these data, we can analyze the genome-wide association between gene expression profiles and molecular markers to map gene expression QTL (eQTL) as well as the association between quantitative traits and molecular markers (QTL mapping). We can also build a genome-wide genetic effect network between genomic region variation, expression levels of a set of genes and some quantitative trait phenotypes. This talk will discuss some statistical methods and issues toward to building this comprehensive genetic effect network. A dataset from forest trees will be used to illustrate the methods.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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