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

Abstract Details

Activity Number: 235
Type: Contributed
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #308543
Title: Comparison of Methods for g X g Interaction for Quantitative Traits in Case-Control Association Studies
Author(s): Raymond George Hoffmann*+ and Thomas J. Hoffmann and Pippa Simpson and Soumitra Ghosh
Companies: Medical College of Wisconsin and University of California, San Francisco and Medical College of Wisconsin and Medical College of Wisconsin
Address: QHS, Pediatrics, Milwaukee, WI, 53226,
Keywords: gene by gene ; genetic interaction ; qtl ; quantitative trait
Abstract:

Identifying g x g interaction for quantitative traits is a difficult problem because of the many potential forms for interaction. Multiple methods have been used to model these relationships: linear regression, survival analysis, Classification and Regression Trees (CART), Random Forests, etc. The goal of this study is to compare these methods for different types of interaction -- linear by linear, a PK/PD pharmocogenetic model, as well as some of the more complex forms found in genetics such as a positive interaction at one level and a negative interaction at another level. Simulations use the R system together with the R genetics, cart, randomForest ang rgenetics libraries.


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