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Activity Number:
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350
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 6, 2008 : 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 - #302176 |
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Title:
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Pathway-Based Analysis of Genomewide Association Studies
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Author(s):
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Kui Zhang*+ and Douglas K. Childers
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Companies:
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The University of Alabama at Birmingham and The University of Alabama at Birmingham
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Address:
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1665 University Blvd., Dept. of Biostatistics, Birmingham, AL, 35294,
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Keywords:
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Genomewide Association (GWA) Study ; Pathway ; Interaction ; SNP ; Linkage Disequilibrium (LD) ; Association
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Abstract:
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Typical analysis methods for GWA studies are based on single markers and generally ignore the rest of information. Wang et al. (AJHG, 81, 1279-1283) proposed a pathway-based analysis and illustrated that joint analysis of multiple genes in the same pathway can provide additional insights into interpretation of GWA studies. Although multiple SNPs may be genotyped for a gene, Wang's method needs to find a single SNP to represent all SNPs within a gene and the optimal choice of such a SNP is not clear. Wang's methods can not detect the joint effects of multiple SNPs within and between genes. We develop a pathway based method that can analyze all SNPs within a gene and joint effects of multiple SNPs. We apply our method to a published GWA study and demonstrate that the new developed method can provide additional findings in GWA studies.
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