IDEAS home Printed from https://ideas.repec.org/a/aph/ajpbhl/10.2105-ajph.2013.301290_4.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.2105/AJPH.2013.301290
    Download Restriction: no
    File URL: https://libkey.io/10.2105/AJPH.2013.301290?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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 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.
    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).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aph:ajpbhl:10.2105/ajph.2013.301290_4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://www.apha.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.