JSM 2005 Online Program

Abstract #304673

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	63
Type:	Contributed
Date/Time:	Sunday, August 7, 2005 : 4:00 PM to 5:50 PM
Sponsor:	Biometrics Section
Abstract - #304673
Title:	A Modified Quasi-likelihood Score Test for Evaluating Candidate Genes in Case-control Studies
Author(s):	Timothy Thornton*+ and Mary Sara McPeek
Companies:	The University of Chicago and The University of Chicago
Address:	1606 East 50th Place, Chicago, IL, 60615, United States
Keywords:	Association Studies ; Candidate Genes ; Genetic Model ; Disease
Abstract:	Case-control studies are essential for evaluating candidate genes and diseases. Bourgain et al. (2003) propose to use a quasi-likelihood score statistic to test for allelic association with a disease. This statistic can be used for any set of individuals, regardless of the complexity of the relationships of the individuals provided the genealogy is known. Under the alternative hypothesis for their model, there are only two possible allele frequency distributions, where all of the alleles of individuals that are affected have one allele frequency distribution and all of the alleles of individuals not affected have another allele frequency distribution, regardless of the relationships between the affected and unaffected individuals. This simple situation does not hold under most genetic models, and as a result, power is adversely affected. We propose a new test statistic that incorporates the affection status and the relationships of the individuals for the allele frequency distributions of the individuals. We perform simulations and compare the power of the two statistics for various disease models in the Hutterites, an isolated founder population.

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