American Journal of Public Health · 2013 · 130 citations · 70 references
Life SciencesGeneticsEpidemiologic MethodsEpidemiologyGenetic EpidemiologyEnvironmental Determinants Of HealthGene-environment InteractionGenotype-by-environment InteractionNeighborhood EnvironmentSocial EpidemiologyCausal Inference In Gene-environment StudiesGene-environment Correlation In Health OutcomesGene-environment Interaction In Causal InferenceGene-environment Interaction ModelingHealth Outcomes AnalysisLongitudinal Gene-environment Modeling
The article argues that a social epidemiology framework can define the environment in gene‑environment research and urges researchers to incorporate genetic data and adopt this model. The authors propose a multilevel, multidomain, longitudinal framework that captures upstream processes influencing health outcomes and recommends integrating genetic information into G × E studies. They demonstrate that intermediate social settings such as neighborhoods and schools are critical environmental components in G × E research.
In this article, we make the case that social epidemiology provides a useful framework to define the environment within gene-environment (G × E) research. We describe the environment in a multilevel, multidomain, longitudinal framework that accounts for upstream processes influencing health outcomes. We then illustrate the utility of this approach by describing how intermediate levels of social organization, such as neighborhoods or schools, are key environmental components of G × E research. We discuss different models of G × E research and encourage public health researchers to consider the value of including genetic information from their study participants. We also encourage researchers interested in G × E interplay to consider the merits of the social epidemiology model when defining the environment.
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