A Bayesian method for identifying genetic interactions

AMIA Annu Symp Proc. 2009 Nov 14;2009:673-7.

Abstract

An important challenge in the analysis of single nucleotide polymorphism (SNP) data is the identification of SNPs that interact in a nonlinear fashion in their association with disease. Such epistatic interactions among genetic variants at multiple loci likely underlie the inheritance of common diseases. We have developed a novel method called the Bayesian combinatorial method (BCM) for detecting combination of genetic variants that are predictive of disease. When compared with the multifactor dimensionality reduction (MDR), a widely used combinatorial method, BCM has significantly greater power to detect interactions and is computationally more efficient.

Publication types

  • Comparative Study

MeSH terms

  • Bayes Theorem*
  • Epistasis, Genetic*
  • Humans
  • Models, Genetic*
  • Multifactor Dimensionality Reduction
  • Polymorphism, Single Nucleotide*