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Abstract Details
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Activity Number:
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323
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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SSC
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| Abstract - #305494 |
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Title:
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Mixture Models and Likelihood Ratio Test for Genetic Case-Control Association Studies
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Author(s):
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Yongzhao Shao*+ and Meng Qian
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Companies:
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New York University and New York University
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Address:
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650 First Ave-Fifth Floor RM 538, New York, NY, 10016, United States
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Keywords:
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admixture ;
population stratefication ;
false discovery rate ;
case control studies ;
genome-wide association studies ;
loss of power
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Abstract:
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Latent population substructure (LPS) is common in human genetic studies. It is well known that ignoring the LPS population based case-control genetic studies can lead to both an abundance of false discoveries in the form of spurious association and a serious decrease of power and resulting in false negative results. The loss of power is particularly serious when a low alpha-level is used as in typical genome-wide association studies (GWAS). To account for LPS in genetic association studies, we propose an application of the binomial mixture models and its associated likelihood ratio test in detecting disease-SNP associations in case-control association studies including GWAS. Numerical studies are used to illustrate the performance of the proposed models and methods.
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