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Activity Number:
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64
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Type:
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Contributed
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Date/Time:
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Sunday, August 6, 2006 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #305442 |
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Title:
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Genomic Control for Association Studies When the Genetic Model Is Unknown
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Author(s):
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Gang Zheng*+ and Boris Freidlin and Joseph Gastwirth
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Companies:
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National Heart, Lung, and Blood Institute and National Cancer Institute and The George Washington University
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Address:
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6701 Rockledge Drive, Bethesda, MD, 20892,
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Keywords:
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genomic control ; genetic association ; case-control data ; general association ; trend test ; population stratifications
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Abstract:
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Population-based case-control association studies can be affected by population stratification, which may result in a higher than nominal rate of false positive results. One approach to preserving the nominal type I error is to apply genomic control (GC), which adjusts the variance of the Cochran-Armitage trend test. When the underlying genetic model is known, GC can be applied to the corresponding optimal trend tests. In practice, however, the mode of inheritance is unknown. The genotype-based chi-square test for a general association does not depend on the underlying genetic model. This test has a chi-square distribution with two degrees of freedom. We discuss how to apply GC to this general association test.
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