JSM 2005 Online Program

Abstract #303548

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:	67
Type:	Contributed
Date/Time:	Sunday, August 7, 2005 : 4:00 PM to 5:50 PM
Sponsor:	Biopharmaceutical Section
Abstract - #303548
Title:	Detecting Epistasis among the Quantitative Trait Loci
Author(s):	Wei Ning*+ and Hyune-Ju Kim
Companies:	Syracuse University and Syracuse University
Address:	215 Carnegie Hall, Syracuse, NY, 13244, United States
Keywords:	Epistasis ; interaction ; F-test
Abstract:	Epistasis, the interaction among genes at different loci, is an important factor that influences phenotypic expression of genes and genetic variation in populations. To study the presence of epistasis and its role in evolutionary biology, it is necessary to develop an effective and robust method to detect epistasis. In this paper, our focus is on statistical epistasis between two quantitative trait loci. We treat epistasis as the interaction in the two-way ANOVA model with three levels for both factors, and we propose a new method to detect it. We represent a model without the linear constraint on the interaction terms, typically used in two-way fixed effect models, and propose a test statistic to detect a non-zero interaction. In an identifiable situation defined in Terbeck and Davies (1988), our simulations show the new test has higher power than the classical F-test for interaction. We also present simulation results for general situations with an example.

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