ISSN: 0974-276X
+44 1223 790975
Diane Wagener
Tanzania
Research Article
Conducting Genome-Wide Association Studies: Epistasis Scenarios
Author(s): Philip Cooley, Nathan Gaddis, Ralph Folsom and Diane Wagener
Philip Cooley, Nathan Gaddis, Ralph Folsom and Diane Wagener
This paper investigates epistatic scenarios in a genome-wide association studies (GWAS) context using a qualitative association model, to assess the statistical models that reliably predict associations between a qualitative phenotype (i.e., a disease diagnosis) and a pair of interacting genes. We employed the concept of relative risk, which is the ratio of the probability of a positive diagnosis given a mutated genotype divided by the probability with no risk present.
We used a Monte Carlo-based simulation approach, to generate synthetic data corresponding to a variety of possible epistatic models (EMs). Our method took into account the strength of association, disease prevalence in non-risk populations and most importantly, the inheritance patterns of the epistatic genes. We analyzed the simulated gene data, to assess how these individual factors influenced statistical pow.. View More»
DOI:
10.4172/jpb.1000244