Use of pathway information in molecular epidemiology.

Journal Article (Review;Journal Article)

Candidate gene studies are generally motivated by some form of pathway reasoning in the selection of genes to be studied, but seldom has the logic of the approach been carried through to the analysis. Marginal effects of polymorphisms in the selected genes, and occasionally pairwise gene–gene or gene–environment interactions,are often presented, but a unified approach to modelling the entire pathway has been lacking. In this review, a variety of approaches to this problem is considered, focusing on hypothesis-driven rather than purely exploratory methods. Empirical modelling strategies are based on hierarchical models that allow prior knowledge about the structure of the pathway and the various reactions to be included as ‘prior covariates’. By contrast, mechanistic models aim to describe the reactions through a system of differential equations with rate parameters that can vary between individuals, based on their genotypes. Some ways of combining the two approaches are suggested and Bayesian model averaging methods for dealing with uncertainty about the true model form in either framework is discussed. Biomarker measurements can be incorporated into such analyses, and two-phase sampling designs stratified on some combination of disease, genes and exposures can be an efficient way of obtaining data that would be too expensive or difficult to obtain on a full candidate gene sample. The review concludes with some thoughts about potential uses of pathways in genome-wide association studies.

Full Text

Duke Authors

Cited Authors

  • Thomas, DC; Conti, DV; Baurley, J; Nijhout, F; Reed, M; Ulrich, CM

Published Date

  • October 2009

Published In

Volume / Issue

  • 4 / 1

Start / End Page

  • 21 - 42

PubMed ID

  • 21072972

Pubmed Central ID

  • PMC2999471

Electronic International Standard Serial Number (EISSN)

  • 1479-7364

International Standard Serial Number (ISSN)

  • 1473-9542

Digital Object Identifier (DOI)

  • 10.1186/1479-7364-4-1-21


  • eng