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Candidate Genes and Voter Turnout: Further Evidence on the Role of 5-HTTLPR

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  • DEPPE, KRISTEN DIANE
  • STOLTENBERG, SCOTT F.
  • SMITH, KEVIN B.
  • HIBBING, JOHN R.

Abstract

Recently in this journal, Charney and English (2012) presented an extensive critique of candidate gene association studies using the widely noted Fowler and Dawes (2008) article on the relationship between self-reported voter turnout and both 5-HTT (serotonin transporter) and MAOA (monoamine oxidase A) as the driving example of their evaluation. Reanalysis of the Fowler and Dawes data by Charney and English, based on four critiques of candidate gene studies, led to the conclusion that neither polymorphism is related to variations in turnout. We add to this empirical debate by conducting an independent test using an original dataset containing 5-HTT data and two separate participation variables: self-reported participation and actual voting records. Our results confirm the original conclusions by Fowler and Dawes on 5-HTT, but also support several of the critiques suggested by Charney and English. We conclude by offering suggestions for the way candidate gene association studies should be interpreted by the discipline and processed by journal editors.

Suggested Citation

  • Deppe, Kristen Diane & Stoltenberg, Scott F. & Smith, Kevin B. & Hibbing, John R., 2013. "Candidate Genes and Voter Turnout: Further Evidence on the Role of 5-HTTLPR," American Political Science Review, Cambridge University Press, vol. 107(2), pages 375-381, May.
    • Handle: RePEc:cup:apsrev:v:107:y:2013:i:02:p:375-381_00
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    Cited by:

    1. Kevin B. Smith & John R. Alford & John R. Hibbing & Nicholas G. Martin & Peter K. Hatemi, 2017. "Intuitive Ethics and Political Orientations: Testing Moral Foundations as a Theory of Political Ideology," American Journal of Political Science, John Wiley & Sons, vol. 61(2), pages 424-437, April.
    2. Wajzer, Mateusz, 2022. "The reductionism of genopolitics in the context of the relationships between biology and political science," MPRA Paper 118482, University Library of Munich, Germany, revised 14 Aug 2023.
    3. Mehmet Özer Demir & Biagio Simonetti & Murat Alper Başaran & Sezgin Irmak, 2021. "Voter Classification Based on Susceptibility to Persuasive Strategies: A Machine Learning Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 355-370, May.

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