This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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16
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 1, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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Abstract - #306538 |
Title:
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Statistical Methods for Detecting Complex Genetic and Environmental Effects with Case-Control Mother-Child Pair Data
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Author(s):
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Jinbo Chen and Dongyu Lin*+
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Companies:
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University of Pennsylvania and University of Pennsylvania
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Address:
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, , ,
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Keywords:
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case-control studies ;
mother-child pair data ;
gene-gene interaction ;
gene-environment interaction ;
likelihood methods
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Abstract:
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Case-control mother-child pair design, which recruits mother cases and controls and their children, is a popular study design for genetic association studies of pregnancy-related conditions. The contrast of gene and exposure frequencies in cases and controls and the partial family information contained in mother-child pairs offer great potential for disentangling effects of genetic and environmental variables. Accompanying this advantage is the challenge for statistical analysis: the involvement of both maternal and fetal genome and environmental exposures complicates the analysis. We propose unified likelihood-based methods for testing maternal-fetal gene-gene and gene-environment interactions and parent-of-origin effects of the fetal alleles.
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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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