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Abstract Details
Activity Number:
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359
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Type:
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Contributed
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Date/Time:
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Tuesday, August 2, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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Abstract - #303204 |
Title:
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Estimation of High-Parent Heterosis in Gene Expression
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Author(s):
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Tieming Ji*+ and Peng Liu and Dan Nettleton
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Companies:
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Iowa State University and Iowa State University and Iowa State University
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Address:
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Department of Statistics, Ames, IA, 50011, US
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Keywords:
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empirical Bayes ;
hierarchical Modeling ;
hybrid vigor ;
microarray ;
statistical genetics
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Abstract:
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High-parent heterosis, also known as hybrid vigor, occurs when the mean trait value of offspring is greater than the mean trait value of each parent. For maize, this phenomenon was first documented in the late 1800s and is the basis of the seed corn industry today. In an effort to understand the molecular genetic mechanisms responsible for heterosis, researchers have begun to measure the expression levels of thousands of genes in parental maize lines and their offspring. We will present an empirical Bayes approach for estimating the offspring mean minus the maximum of the two parental means (high-parent heterosis) for each of thousands of gene expression levels. We will demonstrate through simulation that our estimators have both lower bias and lower mean square error than naïve estimators defined by gene-specific differences between the offspring sample mean and the larger of the two parental sample means. We will illustrate the point and interval estimates produced by our method via application to a maize microarray dataset.
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