Activity Number:
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98
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 12, 2002 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Bayesian Stat. Sciences*
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Abstract - #300655 |
Title:
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Gene Characterization with High-Risk Family Data
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Author(s):
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Edwin Iversen*+
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Affiliation(s):
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Duke University
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Address:
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Box 90251, Durham, North Carolina, 27708-0251, USA
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Keywords:
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Gene Characterization ; Bayesian Analysis ; Sample Bias
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Abstract:
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Gene discovery (mapping the location of genes and identifying the biological processes they are involved with) and gene characterization (quantifying the body's phenotypic response to a particular genetic alteration or combination of alterations) are burgeoning fields with tremendous potential for spawning advances in the treatment of disease. Recent and rapid developments in gene discovery technologies and the increasing numbers of newly identified disease genes that have resulted from their use have created a growing demand for statistical methods and tools for gene characterization. This talk will focus on selected statistical problems in this stage of human genetic research. A major stumbling block here is lack of population-based data on carriers of the genetic variant(s) under study. Collecting such data is difficult and expensive because of the relative rarity of the types of alterations being discovered. Instead, most available data is from clinics and research studies focusing on patients at high-risk of genetically predisposed disease. This talk will concentrate on methods for using high-risk family data to characterize selected phenotypic quantities.
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