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Activity Number:
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440
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #305039 |
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Title:
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Detecting Association with Rare Genetic Variants in Common Diseases
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Author(s):
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Yali Li*+ and Tao Feng and Xiaofeng Zhu
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Companies:
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Case Western Reserve University and Case Western Reserve University and Case Western Reserve University
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Address:
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2103 Cornell Road, Cleveland, OH, 44106,
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Keywords:
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rare variants ; common diseases ; haplotype ; truncated product method ; WTCCC
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Abstract:
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It has been debated that multiple rare genetic variants may contribute to common diseases. Therefore, powerful statistical methods for the detection of rare variants are currently in great need. Here we propose a haplotype-based truncated product method (HTPM) for detecting rare variants contributing a common disease. We borrow a p-value combination method from testing for the multiple hypotheses, but use it for the purpose of clustering the information on rare risk haplotypes. Our simulation study demonstrates that this method has increased power for detecting the association between rare variants and diseases, compared with other available methods. We applied HTPM to the Wellcome Trust Case Control Consortium (WTCCC) coronary artery disease and hypertension data and replicated the previous findings of several genes that are associated with hypertension and coronary artery disease.
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