Skip Navigation
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Your Environment. Your Health.

Publication Detail

Title: A simple and computationally efficient sampling approach to covariate adjustment for multifactor dimensionality reduction analysis of epistasis.

Authors: Gui, Jiang; Andrew, Angeline S; Andrews, Peter; Nelson, Heather M; Kelsey, Karl T; Karagas, Margaret R; Moore, Jason H

Published In Hum Hered, (2010)

Abstract: Epistasis or gene-gene interaction is a fundamental component of the genetic architecture of complex traits such as disease susceptibility. Multifactor dimensionality reduction (MDR) was developed as a nonparametric and model-free method to detect epistasis when there are no significant marginal genetic effects. However, in many studies of complex disease, other covariates like age of onset and smoking status could have a strong main effect and may potentially interfere with MDR's ability to achieve its goal. In this paper, we present a simple and computationally efficient sampling method to adjust for covariate effects in MDR. We use simulation to show that after adjustment, MDR has sufficient power to detect true gene-gene interactions. We also compare our method with the state-of-art technique in covariate adjustment. The results suggest that our proposed method performs similarly, but is more computationally efficient. We then apply this new method to an analysis of a population-based bladder cancer study in New Hampshire.

PubMed ID: 20924193 Exiting the NIEHS site

MeSH Terms: Case-Control Studies; Computer Simulation; Epistasis, Genetic*; Genetic Predisposition to Disease*; Genotype; Humans; Models, Genetic; Multifactor Dimensionality Reduction/methods*; New Hampshire; Polymorphism, Single Nucleotide; Sampling Studies; Urinary Bladder Neoplasms/genetics

Back
to Top