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Activity Number:
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547
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Type:
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Contributed
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Date/Time:
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Thursday, August 10, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #307502 |
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Title:
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A New Approach To Performing Segregation Analysis To Detect Imprinting
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Author(s):
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Sanjay Shete*+
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Companies:
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M. D. Anderson Cancer Center
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Address:
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Department of Epidemiology, Houston, TX, 77030,
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Keywords:
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likelihood ratio test ; segregation analyses ; linkage ; family data
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Abstract:
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Many complex heterogeneous diseases do not exhibit a simple Mendelian transmission pattern. Genomic imprinting is a mechanism by which only one copy of a gene pair is expressed, and this expression is determined by the parental origin of the copy. The Imprinted Gene Catalogue now has more than 200 genes listed, and estimates based on mouse models suggest many more may exist in humans. The deregulation of imprinted genes has been implicated in a number of human diseases. Currently there are no methods that guide investigators to test for imprinting in the segregation phase of the analyses. Here we present a novel coding system in segregation analyses that allows for testing for imprinting using likelihood ratio test. We present simulation results and real data analyses to exhibit utility of our approach.
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