Journal of Proteomics & Bioinformatics

Journal of Proteomics & Bioinformatics
Open Access

ISSN: 0974-276X

+44 1223 790975

Ralph Folsom

Ralph Folsom


  • Research Article
    Conducting Genome-Wide Association Studies: Epistasis Scenarios
    Author(s): Philip Cooley, Nathan Gaddis, Ralph Folsom and Diane WagenerPhilip 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

    Abstract PDF

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