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Financial and Psychological Risk Attitudes Associated with Two Single Nucleotide Polymorphisms in the Nicotine Receptor (CHRNA4) Gene

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  • Brian E Roe
  • Michael R Tilley
  • Howard H Gu
  • David Q Beversdorf
  • Wolfgang Sadee
  • Timothy C Haab
  • Audrey C Papp

Abstract

With recent advances in understanding of the neuroscience of risk taking, attention is now turning to genetic factors that may contribute to individual heterogeneity in risk attitudes. In this paper we test for genetic associations with risk attitude measures derived from both the psychology and economics literature. To develop a long-term prospective study, we first evaluate both types of risk attitudes and find that the economic and psychological measures are poorly correlated, suggesting that different genetic factors may underlie human response to risk faced in different behavioral domains. We then examine polymorphisms in a spectrum of candidate genes that affect neurotransmitter systems influencing dopamine regulation or are thought to be associated with risk attitudes or impulsive disorders. Analysis of the genotyping data identified two single nucleotide polymorphisms (SNPs) in the gene encoding the alpha 4 nicotine receptor (CHRNA4, rs4603829 and rs4522666) that are significantly associated with harm avoidance, a risk attitude measurement drawn from the psychology literature. Novelty seeking, another risk attitude measure from the psychology literature, is associated with several COMT (catechol-O-methyl transferase) SNPs while economic risk attitude measures are associated with several VMAT2 (vesicular monoamine transporter) SNPs, but the significance of these associations did not withstand statistical adjustment for multiple testing and requires larger cohorts. These exploratory results provide a starting point for understanding the genetic basis of risk attitudes by considering the range of methods available for measuring risk attitudes and by searching beyond the traditional direct focus on dopamine and serotonin receptor and transporter genes.

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  • Brian E Roe & Michael R Tilley & Howard H Gu & David Q Beversdorf & Wolfgang Sadee & Timothy C Haab & Audrey C Papp, 2009. "Financial and Psychological Risk Attitudes Associated with Two Single Nucleotide Polymorphisms in the Nicotine Receptor (CHRNA4) Gene," PLOS ONE, Public Library of Science, vol. 4(8), pages 1-7, August.
  • Handle: RePEc:plo:pone00:0006704
    DOI: 10.1371/journal.pone.0006704
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    References listed on IDEAS

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    1. Camelia M Kuhnen & Joan Y Chiao, 2009. "Genetic Determinants of Financial Risk Taking," PLOS ONE, Public Library of Science, vol. 4(2), pages 1-4, February.
    2. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    3. Ekelund, Jesper & Johansson, Edvard & Jarvelin, Marjo-Riitta & Lichtermann, Dirk, 2005. "Self-employment and risk aversion--evidence from psychological test data," Labour Economics, Elsevier, vol. 12(5), pages 649-659, October.
    4. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    5. Robert B. Barsky & F. Thomas Juster & Miles S. Kimball & Matthew D. Shapiro, 1997. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 537-579.
    6. Steffen Andersen & Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2008. "Lost In State Space: Are Preferences Stable?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(3), pages 1091-1112, August.
    7. John D. Storey, 2002. "A direct approach to false discovery rates," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(3), pages 479-498, August.
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    1. Heß, Moritz & Scheve, Christian von & Schupp, Jürgen & Wagner, Aiko & Wagner, Gert G., 2018. "Are political representatives more risk-loving than the electorate? Evidence from German federal and state parliaments," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 4, pages 1-7.
    2. Mumtaz Ahmad & Asma Tahir & Nadeem Sohail, 2018. "Construction and Validation of Neurotransmitters Scale," Global Social Sciences Review, Humanity Only, vol. 3(4), pages 228-253, December.
    3. Nicos Nicolaou & Scott Shane, 2019. "Common genetic effects on risk-taking preferences and choices," Journal of Risk and Uncertainty, Springer, vol. 59(3), pages 261-279, December.
    4. Songfa Zhong & Salomon Israel & Idan Shalev & Hong Xue & Richard P Ebstein & Soo Hong Chew, 2010. "Dopamine D4 Receptor Gene Associated with Fairness Preference in Ultimatum Game," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-8, November.
    5. Anna Dreber & David Rand & Nils Wernerfelt & Justin Garcia & Miguel Vilar & J. Lum & Richard Zeckhauser, 2011. "Dopamine and risk choices in different domains: Findings among serious tournament bridge players," Journal of Risk and Uncertainty, Springer, vol. 43(1), pages 19-38, August.
    6. Wernerfelt, Nils Christian & Rand, David Gertler & Lum, J. Koji & Zeckhauser, Richard Jay & Dreber, Anna & Garcia, Justin, 2011. "The Dopamine Receptor D4 Gene (DRD4) and Self-Reported Risk Taking in the Economic Domain," Scholarly Articles 5347066, Harvard Kennedy School of Government.
    7. Anum Khan & Muhammad Shujaat Mubarik, 2022. "Measuring the role of neurotransmitters in investment decision: A proposed constructs," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 258-274, January.
    8. Lundborg, Petter & Stenberg, Anders, 2010. "Nature, nurture and socioeconomic policy--What can we learn from molecular genetics?," Economics & Human Biology, Elsevier, vol. 8(3), pages 320-330, December.
    9. Francisco Molins & Fatmanur Sahin & Miguel Ángel Serrano, 2022. "The Genetics of Risk Aversion: A Systematic Review," IJERPH, MDPI, vol. 19(21), pages 1-22, November.
    10. Songfa Zhong & Salomon Israel & Hong Xue & Richard P Ebstein & Soo Hong Chew, 2009. "Monoamine Oxidase A Gene (MAOA) Associated with Attitude Towards Longshot Risks," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-4, December.
    11. Beaudreau, Bernard C., 2012. "A humanistic theory of economic behavior," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(2), pages 222-234.
    12. Soo Chew & Richard Ebstein & Songfa Zhong, 2012. "Ambiguity aversion and familiarity bias: Evidence from behavioral and gene association studies," Journal of Risk and Uncertainty, Springer, vol. 44(1), pages 1-18, February.
    13. Chew, Soo Hong & Ebstein, Richard P. & Zhong, Songfa, 2013. "Sex-hormone genes and gender difference in ultimatum game: Experimental evidence from China and Israel," Journal of Economic Behavior & Organization, Elsevier, vol. 90(C), pages 28-42.
    14. Jonathan P. Beauchamp & David Cesarini & Magnus Johannesson & Matthijs J. H. M. van der Loos & Philipp D. Koellinger & Patrick J. F. Groenen & James H. Fowler & J. Niels Rosenquist & A. Roy Thurik & N, 2011. "Molecular Genetics and Economics," Journal of Economic Perspectives, American Economic Association, vol. 25(4), pages 57-82, Fall.

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