Robust discovery of genetic associations incorporating gene-environment interaction and independence.

Abstract excerpt

This article considers the detection and evaluation of genetic effects incorporating gene-environment interaction and independence. Whereas ordinary logistic regression cannot exploit the assumption of gene-environment independence, the proposed approach makes explicit use of the independence assumption to improve estimation efficiency. This method, which uses both cases and controls, fits a constrained...

Topics

• Algorithms
• Environmental Exposure
• Genetic Predisposition to Disease
• Humans
• Likelihood Functions
• Logistic Models
• Retrospective Studies
• Sensitivity and Specificity