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Defining the environment in gene-environment research: Lessons from social epidemiology

Author

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  • Boardman, J.D.
  • Daw, J.
  • Freese, J.

Abstract

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.

Suggested Citation

  • Boardman, J.D. & Daw, J. & Freese, J., 2013. "Defining the environment in gene-environment research: Lessons from social epidemiology," American Journal of Public Health, American Public Health Association, vol. 103(SUPPL.1), pages 64-72.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2013.301355_9
    DOI: 10.2105/AJPH.2013.301355
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    Cited by:

    1. Pietro Biroli & Titus Galama & Stephanie von Hinke & Hans van Kippersluis & Cornelius Rietveld & Kevin Thom, 2022. "The Economics and Econometrics of Gene-Environment Interplay," Tinbergen Institute Discussion Papers 22-019/V, Tinbergen Institute.
    2. W. Carson Byrd & Matthew W. Hughey, 2015. "Biological Determinism and Racial Essentialism," The ANNALS of the American Academy of Political and Social Science, , vol. 661(1), pages 8-22, September.
    3. Guo, Fangqi & Harris, Kathleen Mullan & Boardman, Jason D. & Robinette, Jennifer W., 2022. "Does crime trigger genetic risk for type 2 diabetes in young adults? A G x E interaction study using national data," Social Science & Medicine, Elsevier, vol. 313(C).
    4. Domingue, Benjamin & Trejo, Sam & Armstrong-Carter, Emma & Tucker-Drob, Elliot M., 2020. "Interactions between polygenic scores and environments: Methodological and conceptual challenges," SocArXiv u7sh4, Center for Open Science.
    5. Kowaleski-Jones, Lori & Brown, Barbara B. & Fan, Jessie X. & Hanson, Heidi A. & Smith, Ken R. & Zick, Cathleen D., 2017. "The joint effects of family risk of obesity and neighborhood environment on obesity among women," Social Science & Medicine, Elsevier, vol. 195(C), pages 17-24.
    6. Xi-Zhang Shan & Yong Li & Kun Lai, 2019. "From End Treatment to Source Prevention: Socio-Ecological Approaches to Promote Research on the Environment and Non-Communicable Chronic Diseases with Special Reference to China," IJERPH, MDPI, vol. 16(11), pages 1-8, May.
    7. Robinette, Jennifer W. & Boardman, Jason D., 2021. "Cognition in context: Pathways and compound risk in a sample of US non-Hispanic whites," Social Science & Medicine, Elsevier, vol. 283(C).

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