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Activity Number:
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359
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 4, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #303297 |
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Title:
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Pathway Analysis by Adaptive Combination of P-Values
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Author(s):
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Kai Yu*+
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Companies:
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National Cancer Institute
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Address:
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Division of Cancer Epidemiology and Genetics, Rockville, MD, 20892,
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Keywords:
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Pathway analysis ; Genetic association study ; Permutation test
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Abstract:
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It is increasingly recognized that pathway analyses---a joint test of association between the outcome and a group of single nucleotide polymorphisms (SNPs) within a biological pathway---could potentially complement single-SNP analysis and provide additional insights for the genetic architecture of complex diseases. Building upon existing p-value combining methods, we propose a class of highly flexible pathway analysis approaches based on the adaptive rank truncated product statistic that can effectively combine evidence of associations over different SNPs and genes within a pathway. The statistical significance of the pathway-level test-statistics is evaluated using a highly efficient permutation algorithm that remains computationally feasible irrespective of the size of the pathway and complexity of the underlying test-statistics for summarizing SNP- and gene-level associations.
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