University of Vermont

cems
College of
Engineering and Mathematical Sciences

Department of Mathematics & Statistics

Statistics Colloquium on April 23

Dr. Jiang Gui, PhD - Dartmouth University Geisel School of Medicine will speak on Quantitative Multifactor Dimensionality Reduction Method for Detecting and Evaluating Gene-Gene Interactions on Wednesday, April 23 at 4:15pm in Votey 254.

Abstract:

The presentation will begin with an overview of statistical genetic methods for association studies. We will then present an extension of the two-class multifactor dimensionality reduction (MDR) algorithm that enables detection and characterization of epistatic SNP-SNP interactions in the context of a quantitative trait. The proposed Quantitative MDR (QMDR) method handles continuous data by modifying MDR’s constructive induction algorithm to use a T-test. QMDR replaces the balanced accuracy metric with a T-test statistic as the score to determine the best interaction model. We used a simulation to identify the empirical distribution of QMDR’s testing score. We then applied QMDR to genetic data from the ongoing prospective Prevention of Renal and Vascular End-Stage Disease (PREVEND) study.