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Activity Number:
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520
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #305056 |
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Title:
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Estimation of Association in Case-Control Studies with Potential Population Structure
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Author(s):
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Yong Chen*+ and Kung-Yee Liang
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Companies:
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Johns Hopkins University and Johns Hopkins University
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Address:
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615 N Wolfe Street, Baltimore, MD, 21205,
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Keywords:
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Case-control study ; Population structure ; Latent class analysis ; Pseudolikelihood
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Abstract:
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Case-control study is one of the main tools for detecting genetic association. And it is well known that population structure (PS) can lead to spurious association between disease status and test marker if the prevalence of disease and the test marker frequency vary across subpopulations. In this talk, we proposed a novel statistical method to estimate the association in case-control studies with potential population structure. The proposed method takes two steps. First, the information on genomic markers and disease status is used to infer the subpopulation membership and hence the classification parameters; second, the association between disease and test marker adjusting for the population structure is modeled parametrically. The method is applied to the asthma study in an African Americans and African Caribbean population.
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