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

Abstract Details

Activity Number: 360
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #309222
Title: Graphical Displays to Uncover Gene-Environment Interaction from Data on Case-Parent Trios
Author(s): Ji-Hyung Shin*+ and Claire Infante-Rivard and Brad McNeney and Jinko Graham
Companies: Simon Fraser University and McGill University and Simon Fraser University and Simon Fraser University
Address: 8888 University Drive, , Burnaby, V5A 1S6, Canada
Keywords: genetic associations ; gene-environment interaction ; case-parent trios ; population stratification ; penalized likelihood

In this project, we develop a penalized-likelihood method to graphically explore the form of statistical interaction (GxE) between a genetic and continuously-varying environmental risk factor for a disease, with data from a case-parent trio study design. The method offers the advantage of allowing the data to suggest the functional form of the GxE, while guarding against bias due to population stratification. We illustrate the use of the method with simulated data. Time permitting, the method will also be applied to real data from a study of childhood leukemia.

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