This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 271
Type: Invited
Date/Time: Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
Sponsor: ENAR
Abstract - #306261
Title: Efficient Approaches for Identifying Genes Using Genomewide Association Studies
Author(s): Sanjay S. Shete*+
Companies: MD Anderson Cancer Center
Address: 1515 Holcombe Blvd, Unit 1340, Houston, TX, 77030,
Keywords: Genomewide Association ; Odds Ratio ; Hardy-Weinberg proportion ; SNP ; p-value ; ranking

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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