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

Abstract Details

Activity Number: 28
Type: Contributed
Date/Time: Sunday, August 1, 2010 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #308308
Title: Gene-Based Gene Score
Author(s): Changchun Xie*+
Companies: McMaster University
Address: 581 Southridge Dr., Hamilton, ON, L9C 7V4, Canada
Keywords: SNP ; GWAS ; GLM ; permutation ; sum test

The traditional method for creating a gene score is to use the most statistically significant single nucleotide polymorphisms (SNPs). There are several disadvantages of this approach such as excluding SNPs that do not have strong single effects but do have strong joint effects. In this paper we present a new gene scoring method, which overcomes these problems as it generates a gene score for each gene, and the total gene score for all the genes available. This method controls false positive results caused by multiple tests within genes and between genes separately, and has the advantage of identifying multi-locus genetic effects, compared with the Bonferroni correction, false discovery rate, and permutation tests for all SNPs. We compare this new gene score method with the traditional method by using data collected as part of the INTERHEART genetics study.

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