This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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271
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Type:
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Invited
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Date/Time:
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Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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ENAR
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Abstract - #306261 |
Title:
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Efficient Approaches for Identifying Genes Using Genomewide Association Studies
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Author(s):
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Sanjay S. Shete*+
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Companies:
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MD Anderson Cancer Center
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Address:
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1515 Holcombe Blvd, Unit 1340, Houston, TX, 77030,
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Keywords:
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Genomewide Association ;
Odds Ratio ;
Hardy-Weinberg proportion ;
SNP ;
p-value ;
ranking
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Abstract:
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Genomewide association study has become a powerful approach for detecting genetic variants for common diseases. Generally, certain numbers of most significant SNPs associated with top ranked p values are selected in stage one, with follow-up in stage two. However, when minor allele frequencies are relatively low, less-significant p values can still correspond to higher odds ratios, which might be more useful for prediction of disease status. Also, assessment of the Hardy-Weinberg proportion in controls has been widely used as a quality control measure. However, when the disease being studied is common, controls might not represent the general population, which could result in inaccurate HWP test results. Such results could lead investigators to discard important SNPs that could potentially be causal. In this talk, I will discuss approaches to better test HWP and select candidate SNPs.
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Authors who are presenting talks have a * after their name.
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