JSM 2005 Online Program

Abstract #302340

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:	170
Type:	Invited
Date/Time:	Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor:	SSC
Abstract - #302340
Title:	Likelihood Inference of Disease Associations with a Genetic Factor and Independent Continuous Attribute from Case-control Data
Author(s):	Ji-Hyung Shin*+ and Jinko Graham and Brad McNeney
Companies:	Simon Fraser University and Simon Fraser University and Simon Fraser University
Address:	Department of Statistics and Actuarial Science, Burnaby, BC, V5A 1S6, Canada
Keywords:	genetic associations ; likelihood inference ; case-control study
Abstract:	In case-control studies, covariate information often is collected on a genetic factor and a continuous attribute such as age. In some instances, it is reasonable to assume the attribute and genetic factor occur independently in the population. Under this independence assumption, we develop maximum likelihood estimators of parameters in a logistic model of disease risk. Estimates are based on data from both patients and controls and may be obtained by fitting a polychotomous regression model of joint disease and genetic status. Our results extend previous log-linear approaches to imposing independence between a genetic factor and a categorical attribute, thereby avoiding potential loss of information from discretizing a continuous attribute. In this paper, we apply the method to investigate age-specific associations between type 1 diabetes and a variant of the glutamate-cysteine ligase catalytic subunit. The results are compared to those obtained from a standard logistic regression analysis, which does not make use of the independence assumption.

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