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The challenge of causal inference in gene-environment interaction research: Leveraging research designs from the social sciences

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  • Fletcher, J.M.
  • Conley, D.

Abstract

The integration of genetics and the social sciences will lead to a more complex understanding of the articulation between social and biological processes, although the empirical difficulties inherent in this integration are large. One key challenge is the implications of moving "outside the lab" and away from the experimental tools available for research with model organisms. Social science research methods used to examine human behavior in nonexperimental, real-world settingstodatehavenotbeen fully taken advantage of during this disciplinary integration, especially in the form of gene-environment interaction research. This article outlines and providesexamplesofseveral prominent research designs that should be used in gene- environment research and highlights a key benefit to geneticists of working with socialscientists.

Suggested Citation

  • Fletcher, J.M. & Conley, D., 2013. "The challenge of causal inference in gene-environment interaction research: Leveraging research designs from the social sciences," American Journal of Public Health, American Public Health Association, vol. 103(SUPPL.1), pages 42-45.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2013.301290_4
    DOI: 10.2105/AJPH.2013.301290
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    Citations

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    Cited by:

    1. Cook, C. Justin & Fletcher, Jason M., 2015. "Can education rescue genetic liability for cognitive decline?," Social Science & Medicine, Elsevier, vol. 127(C), pages 159-170.
    2. Pietro Biroli & Titus J. Galama & Stephanie von Hinke & Hans van Kippersluis & Cornelius A. Rietveld & Kevin Thom, 2022. "The Economics and Econometrics of Gene-Environment Interplay," Papers 2203.00729, arXiv.org.
    3. Lauren L. Schmitz & Dalton Conley, 2016. "The Impact of Late-Career Job Loss and Genotype on Body Mass Index," NBER Working Papers 22348, National Bureau of Economic Research, Inc.
    4. Lauren L. Schmitz & Dalton Conley, 2016. "The Effect of Vietnam-Era Conscription and Genetic Potential for Educational Attainment on Schooling Outcomes," NBER Working Papers 22393, National Bureau of Economic Research, Inc.
    5. Steven F. Lehrer & Weili Ding, 2017. "Are genetic markers of interest for economic research?," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-23, December.
    6. Dalton Conley & Ramina Sotoudeh & Thomas Laidley, 2019. "Birth Weight and Development: Bias or Heterogeneity by Polygenic Risk Factors?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 38(6), pages 811-839, December.
    7. Rita Dias Pereira & Pietro Biroli & Titus Galama & Stephanie von Hinke & Hans van Kippersluis & Cornelius A. Rietveld & Kevin Thom, 2022. "Gene-Environment Interplay in the Social Sciences," Papers 2203.02198, arXiv.org, revised Aug 2022.
    8. Zheng, Boyan & Fletcher, Jason & Zheng, Fengyi & Lu, Qiongshi, 2022. "Gene-by-peer-environment interaction effects on cigarette, alcohol, and marijuana use among US high school students of European Ancestry," Social Science & Medicine, Elsevier, vol. 309(C).
    9. Jason M. Fletcher, 2019. "Environmental bottlenecks in children’s genetic potential for adult socio-economic attainments: Evidence from a health shock," Population Studies, Taylor & Francis Journals, vol. 73(1), pages 139-148, January.
    10. Silvia H. Barcellos & Leandro Carvalho & Patrick Turley, 2021. "The Effect of Education on the Relationship between Genetics, Early-Life Disadvantages, and Later-Life SES," NBER Working Papers 28750, National Bureau of Economic Research, Inc.
    11. Fletcher, Jason, 2023. "Decoupling genetics from attainments: The role of social environments," Economics & Human Biology, Elsevier, vol. 50(C).
    12. Buckles, Kasey, 2017. "Maternal Socio-Economic Status and the Well-Being of the Next Generation(s)," IZA Discussion Papers 10714, Institute of Labor Economics (IZA).

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