Risk Alma Davranişinin Genetiği: Güncel Bilgiler, Zorluklar ve Geleceğe Yönelik Öneriler

Öz

Günlük kararlarımız, bir kişiden diğerine oldukça değişen ve süregelen risk değerlendirmelerimizi yansıtır. Risk-alma davranışındaki bireysel farklılıkların altında yatan mekanizmaları araştıran çalışmalar, kısmen farklı nörotransmitter sistemlerinin aktivasyonuyla ilişkili sinirsel ve fizyolojik yolaklardaki değişikliklerin önemini vurgulamaktadır. O nedenle, risk-alma davranışının genetik dayanaklarıyla ilgili araştırmaların öncelikli hedefi, bu sistemlerdeki genetik farklılıklar olmuştur. Bu derlemenin amacı, bu sistemlerdeki genetik farklılıklar ve ekonomik risk-alma davranışı ile ilgili güncel bilgilerimize genel bir bakış sunmaktır. Alandaki gelişimi göstermek için öncelikle farklı risk-alma ölçümleri kullanan aday gen ilişkilendirme çalışmalarının bulguları, sonrasında da genom boyu ilişkilendirme ve gen-çevre etkileşimi çalışmalarının bulguları incelenecektir. Son olarak, bu araştırmaların özellikleri ve sonuçları göz önünde bulundurularak, araştırmalardaki sınırlamalar ve zorluklar tartışılacak ve gelecek araştırmalar için öneriler sunulacaktır.

Anahtar Kelimeler

• risk alma davranışı
• finansal risk alma
• davranışsal ekonomi
• genoekonomi
• genetik farklılıklar

Proje Numarası

BAP Grant #14327

Genetics of Risk-Taking Behavior: Current Knowledge, Challenges and Future Directions

Öz

Our daily decisions reflect continuous assessments of risk that highly varies from one individual to the other. Research on the underlying mechanisms of individual differences in risk-taking behavior emphasizes changes in neural and physiological pathways that is in part due to the activation of different neurotransmitter systems. Consequently, genetic variations in these systems were the primary target of studies investigating the genetic underpinnings of risk-taking behavior. The aim of this review is to give an overview of our current knowledge related to genetic variations in these systems and economic risk-taking behavior. We first examine candidate gene association studies, followed by genome-wide association and gene-environment interaction studies utilizing different measures of risk-taking to illustrate the progress in the field. Considering the characteristics and results of these studies, we then discuss the limitations and challenges in research with suggestions for future directions.

Anahtar Kelimeler

• risk-taking behavior
• financial risk-taking
• behavioral economics
• genoeconomics
• genetic differences

Destekleyen Kurum

Bogazici University

Proje Numarası

BAP Grant #14327

Kaynakça

1. Amstadter, Ananda B., Laura MacPherson, Frances Wang, Annie Banducci, Elizabeth K. Reynolds, Marc N. Potenza, Joel Gelernter, and C. W. Lejuez. 2012. “The Relationship between Risk-Taking Propensity and the COMT Val158Met Polymorphism among Early Adolescents as a Function of Sex.” Journal of Psychiatric Research 46 (7): 940–45. https://doi.org/10.1038/jid.2014.371.
2. Anderson, Anders, Anna Dreber, and Roine Vestman. 2015. “Risk Taking, Behavioral Biases and Genes: Results from 149 Active Investors.” Journal of Behavioral and Experimental Finance 6: 93–100. https://doi.org/10.1016/j.jbef.2015.04.002.
3. Armbruster, D., A. Mueller, D. A. Moser, K. P. Lesch, B. Brocke, and C. Kirschbaum. 2009. “Interaction Effect of D4 Dopamine Receptor Gene and Serotonin Transporter Promoter Polymorphism on the Cortisol Stress Response.” Behavioral Neuroscience 123 (6): 1288–95. https://doi.org/10.1037/a0017615.
4. Barnea, Amir, Henrik Cronqvist, and Stephan Siegel. 2010. “Nature or Nurture: What Determines Investor Behavior?” Journal of Financial Economics 98 (3): 583–604. https://doi.org/10.1016/j.jfineco.2010.08.001.
5. Beauchamp, Jonathan P., David Cesarini, and Magnus Johannesson. 2017. “The Psychometric and Empirical Properties of Measures of Risk Preferences.” Journal of Risk and Uncertainty 54 (3): 203–37. https://doi.org/10.1007/s11166-017-9261-3.
6. Beauchamp, Jonathan P., David Cesarini, Magnus Johannesson, Matthijsj H.M. Van Der Loos, Philipp D. Koellinger, J. F.Groenen Patrick, James H. Fowler, J. Niels Rosenquist, A. Roy Thurik, and Nicholas A. Christakis. 2011. “Molecular Genetics and Economics.” Journal of Economic Perspectives 25 (4): 57–82. https://doi.org/10.1257/jep.25.4.57.
7. Benjamin, Daniel J., David Cesarini, Christopher F. Chabris, Edward L. Glaeser, David I. Laibson, Vilmundur Gunason, Tamara B. Harris, et al. 2012. “The Promises and Pitfalls of Genoeconomics.” Annual Review of Economics 4: 627–62. https://doi.org/10.1146/annurev-economics-080511-110939.
8. Brand, Matthias, Kirsten Labudda, and Hans J. Markowitsch. 2006. “Neuropsychological Correlates of Decision-Making in Ambiguous and Risky Situations.” Neural Networks 19 (8): 1266–76. https://doi.org/10.1016/j.neunet.2006.03.001.

9. Buelow, Melissa T., and Amber L. Blaine. 2015. “The Assessment of Risky Decision Making: A Factor Analysis of Performance on the Iowa Gambling Task, Balloon Analogue Risk Task, and Columbia Card Task.” Psychological Assessment 27 (3): 777–85.
10. Bush, William S., and Jason H. Moore. 2012. “Chapter 11: Genome-Wide Association Studies.” PLoS Computational Biology 8 (12). https://doi.org/10.1371/journal.pcbi.1002822.
11. Camerer, Colin, George Loewenstein, and Drazen Prelec. 2005. “Neuroeconomics: How Neuroscience Can Inform Economics.” Journal of Economic Literature 43 (1): 9–64. https://doi.org/10.1257/0022051053737843.
12. Carpenter, Jeffrey P., Justin R. Garcia, and J. Koji Lum. 2011. “Dopamine Receptor Genes Predict Risk Preferences, Time Preferences, and Related Economic Choices.” Journal of Risk and Uncertainty 42 (3): 233–61. https://doi.org/10.1007/s11166-011-9115-3.
13. Caspi, Avshalom, Ahmad R. Hariri, A Holmes, R Uher, and Terrie E. Moffitt. 2010. “Genetic Sensitivity to the Environment: The Case of the Serotonin Transporter Gene and Its Implications for Studying Complex Diseases and Traits.” American Journal of Psychiatry 167: 509–27. https://doi.org/10.1176/appi.ajp.2010.09101452.
14. Caspi, Avshalom, Joseph McCray, Terrie E. Moffitt, Jonathan Mill, Judy Martin, Ian W. Craig, Alan Taylor, and Richie Poulton. 2002. “Role of Genotype in the Cycle of Violence in Maltreated Children.” Science 297 (5582): 851–54. https://doi.org/10.1126/science.1072290.
15. Ceccato, Smarandita, Brigitte M. Kudielka, and Christiane Schwieren. 2016. “Increased Risk Taking in Relation to Chronic Stress in Adults.” Frontiers in Psychology 6: 2036. https://doi.org/10.3389/fpsyg.2015.02036.
16. Cesarini, David, Christopher T. Dawes, Magnus Johannesson, Paul Lichtenstein, and Björn Wallace. 2009. “Genetic Variation in Preferences for Giving and Risk Taking.” Quarterly Journal of Economics 124 (2): 809–42. https://doi.org/10.1162/qjec.2009.124.2.809.
17. Cesarini, David, Magnus Johannesson, Paul Lichtenstein, Örjan Sandewall, and Björn Wallace. 2010. “Genetic Variation in Financial Decision-Making.” Journal of Finance 65 (5): 1725–54. https://doi.org/10.1111/j.1540-6261.2010.01592.x.
18. Clifton, Emma A.D., John R.B. Perry, Fumiaki Imamura, Luca A. Lotta, Soren Brage, Nita G. Forouhi, Simon J. Griffin, Nicholas J. Wareham, Ken K. Ong, and Felix R. Day. 2018. “Genome–Wide Association Study for Risk Taking Propensity Indicates Shared Pathways with Body Mass Index.” Communications Biology 1 (1). https://doi.org/10.1038/s42003-018-0042-6.
19. Coates, John M., Mark Gurnell, and Zoltan Sarnyai. 2010. “From Molecule to Market: Steroid Hormones and Financial Risk-Taking.” Philosophical Transactions of the Royal Society B: Biological Sciences 365 (1538): 331–43. https://doi.org/10.1098/rstb.2009.0193.
20. Coates, John M, and Joe Herbert. 2008. “Endogenous Steroids and Financial Risk Taking on a London Trading Floor.” Proceedings of the National Academy of Sciences 105 (16): 6167–72. https://doi.org/10.1073/pnas.0704025105.
21. Congdon, Eliza, Klaus Peter Lesch, and Turhan Canli. 2008. “Analysis of DRD4 and DAT Polymorphisms and Behavioral Inhibition in Healthy Adults: Implications for Impulsivity.” American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics 147 (1): 27–32. https://doi.org/10.1002/ajmg.b.30557.
22. Crişan, Liviu G., Simona Panǎ, Romana Vulturar, Renata M. Heilman, Raluca Szekely, Bogdan Drugǎ, Nicolae Dragoş, and Andrei C. Miu. 2009. “Genetic Contributions of the Serotonin Transporter to Social Learning of Fear and Economic Decision Making.” Social Cognitive and Affective Neuroscience 4 (4): 399–408. https://doi.org/10.1093/scan/nsp019.
23. Cueva, Carlos, R. Edward Roberts, Tom Spencer, Nisha Rani, Michelle Tempest, Philippe N. Tobler, Joe Herbert, and Aldo Rustichini. 2015. “Cortisol and Testosterone Increase Financial Risk Taking and May Destabilize Markets.” Scientific Reports 5 (1): 1–16. https://doi.org/10.1038/srep11206.
24. Daw, Nathaniel D., Sham Kakade, and Peter Dayan. 2002. “Opponent Interactions between Serotonin and Dopamine.” Neural Networks 15 (4–6): 603–16. https://doi.org/10.1016/S0893-6080(02)00052-7.
25. Demaree, Heath A., Michael A. DeDonno, Kevin J. Burns, and D. Erik Everhart. 2008. “You Bet: How Personality Differences Affect Risk-Taking Preferences.” Personality and Individual Differences 44 (7): 1484–94. https://doi.org/10.1016/j.paid.2008.01.005.
26. Ding, Yuan Chun, Han Chang Chi, Deborah L. Grady, Atsuyuki Morishima, Judith R. Kidd, Kenneth K. Kidd, Pamela Flodman, et al. 2002. “Evidence of Positive Selection Acting at the Human Dopamine Receptor D4 Gene Locus.” Proceedings of the National Academy of Sciences 99 (1): 309–14. https://doi.org/10.1073/pnas.012464099.
27. Dreber, A., D. G. Rand, N. Wernerfelt, J. R. Garcia, M. G. Vilar, J. K. Lum, and R. Zeckhauser. 2011. “Dopamine and Risk Choices in Different Domains: Findings among Serious Tournament Bridge Players.” Journal of Risk and Uncertainty 43 (1): 19–38. https://doi.org/10.1007/sl 1166-011-9119-z.
28. Dreber, Anna, Coren L. Apicella, Dan T.A. Eisenberg, Justin R. Garcia, Richard S. Zamore, J. Koji Lum, and Benjamin Campbell. 2009. “The 7R Polymorphism in the Dopamine Receptor D4 Gene (DRD4) Is Associated with Financial Risk Taking in Men.” Evolution and Human Behavior 30 (2): 85–92. https://doi.org/10.1016/j.evolhumbehav.2008.11.001.
29. Dreber, Anna, David G. Rand, Nils Wernerfelt, Justin R Garcia, J Koji Lum, and Richard Zeckhauser. 2011. “The Dopamine Receptor D4 Gene (DRD4) and Self-Reported Risk Taking in the Economic Domain.” HKS Faculty Research Working Paper Series, John F. Kennedy School for Government, Harvard University.
30. Dreber, Anna, David G. Rand, Nils Wernerfelt, Cynthia Montgomery, and Deepak K. Malhotra. 2012. “Dreber, A., Rand, D. G., Wernerfelt, N., Montgomery, C., & Malhotra, D. K. (2012). Genetic Correlates of Economic and Social Risk Taking.” Available at SSRN 2141601. https://doi.org/10.2139/ssrn.2141601.
31. Duman, Elif Aysimi. 2018. “Stress and Psychosomatic Disorders: Importance of Gene-Environment Interactions and Epigenetic Mechanisms.” Turkey Clinics Psychiatry 11 (2): 6–15.
32. Eisenberg, Dan T.A., James MacKillop, Meera Modi, Joshua Beauchemin, David Dang, Stephen A. Lisman, J. Koji Lum, and David S. Wilson. 2007. “Examining Impulsivity as an Endophenotype Using a Behavioral Approach: A DRD2 TaqI A and DRD4 48-Bp VNTR Association Study.” Behavioral and Brain Functions 3: 1–14. https://doi.org/10.1186/1744-9081-3-2.
33. Eisenegger, Christoph, Daria Knoch, Richard P. Ebstein, Lorena R.R. Gianotti, Peter S. Sándor, and Ernst Fehr. 2010. “Dopamine Receptor D4 Polymorphism Predicts the Effect of L-DOPA on Gambling Behavior.” Biological Psychiatry 67 (8): 702–6. https://doi.org/10.1016/j.biopsych.2009.09.021.
34. Ernst, Monique, Rista C. Plate, Christina O. Carlisi, Elena Gorodetsky, David Goldman, and Daniel S. Pine. 2014. “Loss Aversion and 5HTT Gene Variants in Adolescent Anxiety.” Developmental Cognitive Neuroscience 8: 77–85. https://doi.org/10.1016/j.dcn.2013.10.002.
35. Felsher, Jennifer R., Jeffrey L. Derevensky, and Rina Gupta. 2010. “Young Adults with Gambling Problems: The Impact of Childhood Maltreatment.” International Journal of Mental Health and Addiction 8 (4): 545–56. https://doi.org/10.1007/s11469-009-9230-4.
36. Figner, Bernd, and Elke U. Weber. 2011. “Who Takes Risks When and Why? Determinants of Risk Taking.” Current Directions in Psychological Science 20 (4): 211–16. https://doi.org/10.1177/0963721411415790.
37. Frydman, Cary, Colin Camerer, Peter Bossaerts, and Antonio Rangel. 2011. “MAOA-L Carriers Are Better at Makingoptimal Financial Decisions under Risk.” Proceedings of the Royal Society B: Biological Sciences 278 (1714): 2053–59. https://doi.org/10.1098/rspb.2010.2304.
38. Grable, John E. 2000. “Financial Risk Tolerance and Additional Factors That Affect Risk Taking in Everyday Money Matters.” Journal of Business and Psychology 14 (4): 625–30. https://doi.org/10.1023/A:1022994314982.
39. Harrati, Amal. 2014. “Characterizing the Genetic Influences on Risk Aversion.” Biodemography and Social Biology 60 (2): 185–98. https://doi.org/10.1080/19485565.2014.951986.
40. He, Qinghua, Gui Xue, Chuansheng Chen, Zhonglin Lu, Qi Dong, Xuemei Lei, Ni Ding, et al. 2010. “Serotonin Transporter Gene-Linked Polymorphic Region (5-HTTLPR) Influences Decision Making under Ambiguity and Risk in a Large Chinese Sample.” Neuropharmacology 59 (6): 518–26. https://doi.org/10.1016/j.neuropharm.2010.07.008.
41. Heils, Armin, Andreas Teufel, Susanne Petri, Gerald Stöber, Peter Riederer, Dietmar Bengel, and K. Peter Lesch. 1996. “Allelic Variation of Human Serotonin Transporter Gene Expression.” Journal of Neurochemistry 66 (6): 2621–24. https://doi.org/10.1046/j.1471-4159.1996.66062621.x.
42. Heinz, Andreas, David Goldman, Douglas W. Jones, Roberta Palmour, Dan Hommer, Julia G. Gorey, Kan S. Lee, Markku Linnoila, and Daniel R. Weinberger. 2000. “Genotype Influences in Vivo Dopamine Transporter Availability in Human Striatum.” Neuropsychopharmacology 22 (2): 133–39. https://doi.org/10.1016/S0893-133X(99)00099-8.
43. Heitland, I., R. S. Oosting, J. M.P. Baas, S. A.A. Massar, J. L. Kenemans, and K. B.E. Böcker. 2012. “Genetic Polymorphisms of the Dopamine and Serotonin Systems Modulate the Neurophysiological Response to Feedback and Risk Taking in Healthy Humans.” Cognitive, Affective and Behavioral Neuroscience 12 (4): 678–91. https://doi.org/10.3758/s13415-012-0108-8.
44. Hirschhorn, Joel N., and Mark J. Daly. 2005. “Genome-Wide Association Studies for Common Diseases and Complex Traits.” Nature Reviews Genetics 6 (2): 95–108. https://doi.org/10.1038/nrg1521.
45. Jacobsen, L. K., J. K. Staley, S. S. Zoghbi, J. P. Seibyl, T. R. Kosten, R. B. Innis, and J. Gelernter. 2000. “Prediction of Dopamine Transporter Binding Availability by Genotype: A Preliminary Report.” American Journal of Psychiatry 157 (10): 1700–1703. https://doi.org/10.1176/appi.ajp.157.10.1700.
46. Kluen, Lisa Marieke, Agorastos Agorastos, Klaus Wiedemann, and Lars Schwabe. 2017. “Cortisol Boosts Risky Decision-Making Behavior in Men but Not in Women.” Psychoneuroendocrinology 84: 181–89. https://doi.org/10.1016/j.psyneuen.2017.07.240.
47. Knafo, A., S. Israel, A. Darvasi, R. Bachner-Melman, F. Uzefovsky, L. Cohen, E. Feldman, et al. 2008. “Individual Differences in Allocation of Funds in the Dictator Game Associated with Length of the Arginine Vasopressin 1a Receptor RS3 Promoter Region and Correlation between RS3 Length and Hippocampal MRNA.” Genes, Brain and Behavior 7 (3): 266–75. https://doi.org/10.1111/j.1601-183X.2007.00341.x.
48. Konovalov, Arkady, and Ian Krajbich. 2019. “Over a Decade of Neuroeconomics: What Have We Learned?” Organizational Research Methods 22 (1): 148–73. https://doi.org/10.1177/1094428116644502.
49. Kraft, Peter, Eleftheria Zeggini, and John P.A. Ioannidis. 2009. “Replication in Genome-Wide Association Studies.” Statistical Science 24 (4): 561–73. https://doi.org/10.1214/09-STS290.
50. Kreek, Mary Jeanne, David A. Nielsen, Eduardo R. Butelman, and K. Steven LaForge. 2005. “Genetic Influences on Impulsivity, Risk Taking, Stress Responsivity and Vulnerability to Drug Abuse and Addiction.” Nature Neuroscience 8 (11): 1450–57. https://doi.org/10.1038/nn1583.
51. Kudielka, Brigitte M., and Stefan Wüst. 2010. “Human Models in Acute and Chronic Stress: Assessing Determinants of Individual Hypothalamuspituitaryadrenal Axis Activity and Reactivity.” Stress 13 (1): 1–14. https://doi.org/10.3109/10253890902874913.
52. Kuhnen, Camelia M., and Joan Y. Chiao. 2009. “Genetic Determinants of Financial Risk Taking.” PLoS ONE 4 (2): e4362. https://doi.org/10.1371/journal.pone.0004362.
53. Kuhnen, Camelia M., Gregory R. Samanez-Larkin, and Brian Knutson. 2013. “Serotonergic Genotypes, Neuroticism, and Financial Choices.” PLoS ONE 8 (1): e54632. https://doi.org/10.1371/journal.pone.0054632.
54. Lakshmanasamy, T. 2014. “Is Economics in Genes?” The Indian Economic Journal 61 (4): 593–625. https://doi.org/10.1177/0019466220140404.
55. Lancaster, T. M., D. E. Linden, and E. A. Heerey. 2012. “COMT Val158met Predicts Reward Responsiveness in Humans.” Genes, Brain and Behavior 11 (8): 986–92. https://doi.org/10.1111/j.1601-183X.2012.00838.x.
56. Lehrer, Steven F., and Weili Ding. 2017. “Are Genetic Markers of Interest for Economic Research?” IZA Journal of Labor Policy 6 (1). https://doi.org/10.1186/s40173-017-0080-6.
57. Lehrer, Steven F., and Weili Ding. 2019. “Can Social Scientists Use Molecular Genetic Data to Explain Individual Differences and Inform Public Policy?” In Biophysical Measurement in Experimental Social Science Research, 225–65. Elsevier Inc. https://doi.org/10.1016/b978-0-12-813092-6.00009-5.
58. Li, Dawei, Pak C. Sham, Michael J. Owen, and Lin He. 2006. “Meta-Analysis Shows Significant Association between Dopamine System Genes and Attention Deficit Hyperactivity Disorder (ADHD).” Human Molecular Genetics 15 (14): 2276–84. https://doi.org/10.1093/hmg/ddl152.
59. Linnér, Richard K., Pietro Biroli, Edward Kong, S. Fleur W. Meddens, Robbee Wedow, Mark Alan Fontana, Maël Lebreton, et al. 2019. “Genome-Wide Association Analyses of Risk Tolerance and Risky Behaviors in over 1 Million Individuals Identify Hundreds of Loci and Shared Genetic Influences.” Nature Genetics 51 (2): 245–57. https://doi.org/10.1038/s41588-018-0309-3.
60. Loewenstein, George, Scott Rick, and Jonathan D. Cohen. 2008. “Neuroeconomics.” Annual Review of Psychology 59: 647–72. https://doi.org/10.1146/annurev.psych.59.103006.093710.
61. Marigorta, Urko M., Juan Antonio Rodríguez, Greg Gibson, and Arcadi Navarro. 2018. “Replicability and Prediction: Lessons and Challenges from GWAS.” Trends in Genetics 34 (7): 504–17. https://doi.org/10.1016/j.tig.2018.03.005.
62. Martinez, Diana, Joel Gelernter, Anissa Abi-Dargham, Christopher H. Van Dyck, Lawrence Kegeles, Robert B. Innis, and Marc Laruelle. 2001. “The Variable Number of Tandem Repeats Polymorphism of the Dopamine Transporter Gene Is Not Associated with Significant Change in Dopamine Transporter Phenotype in Humans.” Neuropsychopharmacology 24 (5): 553–60. https://doi.org/10.1016/S0893-133X(00)00216-5.
63. Mata, Rui, Robin Hau, Andreas Papassotiropoulos, and Ralph Hertwig. 2012. “DAT1 Polymorphism Is Associated with Risk Taking in the Balloon Analogue Risk Task (BART).” PLoS ONE 7 (6). https://doi.org/10.1371/journal.pone.0039135.
64. Mata, Rui, Anika K. Josef, Gregory R. Samanez-Larkin, and Ralph Hertwig. 2011. “Age Differences in Risky Choice: A Meta-Analysis.” Annals of the New York Academy of Sciences 1235 (1): 18–29. https://doi.org/10.1111/j.1749-6632.2011.06200.x.
65. McDermott, Rose, Dustin Tingley, Jonathan Cowden, Giovanni Frazzetto, and Dominic D.P. Johnson. 2009. “Monoamine Oxidase A Gene (MAOA) Predicts Behavioral Aggression Following Provocation.” Proceedings of the National Academy of Sciences 106 (7): 2118–23. https://doi.org/10.1073/pnas.0808376106.
66. Mier, D., P. Kirsch, and A. Meyer-Lindenberg. 2010. “Neural Substrates of Pleiotropic Action of Genetic Variation in COMT: A Meta-Analysis.” Molecular Psychiatry 15 (9): 918–27. https://doi.org/10.1038/mp.2009.36.
67. Millroth, Philip, Peter Juslin, Elias Eriksson, and Thomas Agren. 2017. “Disentangling the Effects of Serotonin on Risk Perception: S-Carriers of 5-HTTLPR Are Primarily Concerned with the Magnitude of the Outcomes, Not the Uncertainty.” Behavioral Neuroscience 131 (5): 421–27. https://doi.org/10.1037/bne0000209.
68. Mishra, Sandeep. 2014. “Decision-Making Under Risk: Integrating Perspectives From Biology, Economics, and Psychology.” Personality and Social Psychology Review 18 (3): 280–307. https://doi.org/10.1177/1088868314530517.
69. Muda, Rafał, Mariusz Kicia, Małgorzata Michalak-Wojnowska, Michał Ginszt, Agata Filip, Piotr Gawda, and Piotr Majcher. 2018. “The Dopamine Receptor D4 Gene (DRD4) and Financial Risk-Taking: Stimulating and Instrumental Risk-Taking Propensity and Motivation to Engage in Investment Activity.” Frontiers in Behavioral Neuroscience 12: 34. https://doi.org/10.3389/fnbeh.2018.00034.
70. Munafò, Marcus R., Binnaz Yalcin, Saffron A. Willis-Owen, and Jonathan Flint. 2008. “Association of the Dopamine D4 Receptor (DRD4) Gene and Approach-Related Personality Traits: Meta-Analysis and New Data.” Biological Psychiatry 63 (2): 197–206. https://doi.org/10.1016/j.biopsych.2007.04.006.
71. Neukam, Philipp T., Nils B. Kroemer, Yacila I. Deza Araujo, Lydia Hellrung, Shakoor Pooseh, Marcella Rietschel, Stephanie H. Witt, Uwe Schwarzenbolz, Thomas Henle, and Michael N. Smolka. 2018. “Risk-Seeking for Losses Is Associated with 5-HTTLPR, but Not with Transient Changes in 5-HT Levels.” Psychopharmacology 235 (7): 2151–65. https://doi.org/10.1007/s00213-018-4913-9.
72. Neve, Jan Emmanuel De, and James H. Fowler. 2014. “Credit Card Borrowing and the Monoamine Oxidase A (MAOA) Gene.” Journal of Economic Behavior and Organization 107: 428–39. https://doi.org/10.1016/j.jebo.2014.03.002.
73. Nicholson, Nigel, Emma Soane, Mark Fenton-O’Creevy, and Paul Willman. 2005. “Personality and Domain-Specific Risk Taking.” Journal of Risk Research 8 (2): 157–76. https://doi.org/10.1080/1366987032000123856.
74. Nicolaou, Nicos, and Scott Shane. 2019. “Common Genetic Effects on Risk-Taking Preferences and Choices.” Journal of Risk and Uncertainty 59 (3): 261–79. https://doi.org/10.1007/s11166-019-09316-2.
75. Roiser, Jonathan P., Benedetto De Martino, Geoffrey C.Y. Tan, Dharshan Kumaran, Ben Seymour, Nicholas W. Wood, and Raymond J. Dolan. 2009. “A Genetically Mediated Bias in Decision Making Driven by Failure of Amygdala Control.” Journal of Neuroscience 29 (18): 5985–91. https://doi.org/10.1523/JNEUROSCI.0407-09.2009.
76. Roiser, Jonathan P., Robert D. Rogers, Lynnette J. Cook, and Barbara J. Sahakian. 2006. “The Effect of Polymorphism at the Serotonin Transporter Gene on Decision-Making, Memory and Executive Function in Ecstasy Users and Controls.” Psychopharmacology 188 (2): 213–27. https://doi.org/10.1007/s00213-006-0495-z.
77. Sabol, Sue Z., Stella Hu, and Dean Hamer. 1998. “A Functional Polymorphism in the Monoamine Oxidase A Gene Promoter.” Human Genetics 103 (3): 273–79. https://doi.org/10.1007/s004390050816.
78. Sano, Akira, Keiji Kondoh, Yasuo Kakimoto, and Ikuko Kondo. 1993. “A 40-Nucleotide Repeat Polymorphism in the Human Dopamine Transporter Gene.” Human Genetics 91 (4): 405–6. https://doi.org/10.1007/BF00217369.
79. Sapra, Steve, Laura E. Beavin, and Paul J. Zak. 2012. “A Combination of Dopamine Genes Predicts Success by Professional Wall Street Traders.” PLoS ONE 7 (1). https://doi.org/10.1371/journal.pone.0030844.
80. Schultz, Wolfram. 2007. “Behavioral Dopamine Signals.” Trends in Neurosciences 30 (5): 203–10. https://doi.org/10.1016/j.tins.2007.03.007.
81. Senn, Theresa E., and Michael P. Carey. 2010. “Child Maltreatment and Women’s Adult Sexual Risk Behavior: Childhood Sexual Abuse as a Unique Risk Factor.” Child Maltreatment 15 (4): 324–35. https://doi.org/10.1177/1077559510381112.
82. Srivastava, Mrinalini, Gagan Deep Sharma, Achal Kumar Srivastava, and S. Senthil Kumaran. 2020. “What’s in the Brain for Us: A Systematic Literature Review of Neuroeconomics and Neurofinance.” Qualitative Research in Financial Markets 12 (4): 413–35. https://doi.org/10.1108/qrfm-10-2019-0127.
83. Stamatis, Caitlin A., Jan B. Engelmann, Christiane Ziegler, Katharina Domschke, Gregor Hasler, and Kiara R. Timpano. 2020. “A Neuroeconomic Investigation of 5-HTT/5-HT1A Gene Variation, Social Anxiety, and Risk-Taking Behavior.” Anxiety, Stress and Coping 33 (2): 176–92. https://doi.org/10.1080/10615806.2020.1722597.
84. Stoltenberg, Scott F., Melissa K. Lehmann, Cynthia Anderson, Parthasarathi Nag, and Cheryl Anagnopoulos. 2011. “Serotonin Transporter (5-HTTLPR) Genotype and Childhood Trauma Are Associated with Individual Differences in Decision Making.” Frontiers in Genetics 2 (JUNE): 1–9. https://doi.org/10.3389/fgene.2011.00033.
85. Stoltenberg, Scott F., and Joanna M. Vandever. 2010. “Gender Moderates the Association between 5-HTTLPR and Decision-Making under Ambiguity but Not under Risk.” Neuropharmacology 58 (2): 423–28. https://doi.org/10.1016/j.neuropharm.2009.09.010.
86. Strawbridge, Rona J., Joey Ward, Breda Cullen, Elizabeth M. Tunbridge, Sarah Hartz, Laura Bierut, Amy Horton, et al. 2018. “Genome-Wide Analysis of Self-Reported Risk-Taking Behaviour and Cross-Disorder Genetic Correlations in the UK Biobank Cohort.” Translational Psychiatry 8 (1): 1–11. https://doi.org/10.1038/s41398-017-0079-1.
87. Sweitzer, Maggie M., Indrani Halder, Janine D. Flory, Anna E. Craig, Peter J. Gianaros, Robert E. Ferrell, and Stephen B. Manuck. 2013. “Polymorphic Variation in the Dopamine D4 Receptor Predicts Delay Discounting as a Function of Childhood Socioeconomic Status: Evidence for Differential Susceptibility.” Social Cognitive and Affective Neuroscience 8 (5): 499–508. https://doi.org/10.1093/scan/nss020.
88. Telzer, Eva H., Andrew J. Fuligni, Matthew D. Lieberman, Michelle E. Miernicki, and Adriana Galván. 2015. “The Quality of Adolescents Peer Relationships Modulates Neural Sensitivity to Risk Taking.” Social Cognitive and Affective Neuroscience 10 (3): 389–98. https://doi.org/10.1093/scan/nsu064.
89. Torkamani, Ali, Eric J. Topol, and Nicholas J. Schork. 2008. “Pathway Analysis of Seven Common Diseases Assessed by Genome-Wide Association.” Genomics 92 (5): 265–72. https://doi.org/10.1016/j.ygeno.2008.07.011.
90. Wang, Xiao Tian, Rui Zheng, Yan Hua Xuan, Jie Chen, and Shu Li. 2016. “Not All Risks Are Created Equal: A Twin Study and Meta-Analyses of Risk Taking across Seven Domains.” Journal of Experimental Psychology: General 145 (11): 1548–60. https://doi.org/10.1037/xge0000225.
91. Webber, Troy A., Heather E. Soder, Geoffrey F. Potts, Jong Y. Park, and Marina A. Bornovalova. 2017. “Neural Outcome Processing of Peer-Influenced Risk-Taking Behavior in Late Adolescence: Preliminary Evidence for Gene × Environment Interactions.” Experimental and Clinical Psychopharmacology 25 (1): 31–40. https://doi.org/10.1037/pha0000105.
92. Xu, Sihua, Marc Korczykowski, Senhua Zhu, and Hengyi Rao. 2013. “Assessment of Risk-Taking and Impulsive Behaviors: A Comparison between Three Tasks.” Social Behavior and Personality 41 (3): 477–86. https://doi.org/10.2224/sbp.2013.41.3.477.
93. Zak, Paul J. 2004. “Neuroeconomics.” Philosophical Transactions of the Royal Society B: Biological Sciences 359 (1451): 1737–48. https://doi.org/10.1098/rstb.2004.1544.
94. Zhong, Songfa, Salomon Israel, Hong Xue, Richard P. Ebstein, and Soo Hong Chew. 2009b. “Monoamine Oxidase A Gene (MAOA) Associated with Attitude towards Longshot Risks.” PLoS ONE 4 (12): e8516. https://doi.org/10.1371/journal.pone.0008516.
95. Zhong, Songfa, Salomon Israel, Hong Xue, Pak C. Sham, Richard P. Ebstein, and Soo Hong Chew. 2009a. “A Neurochemical Approach to Valuation Sensitivity over Gains and Losses.” Proceedings of the Royal Society B: Biological Sciences 276 (1676): 4181–88. https://doi.org/10.1098/rspb.2009.1312.
96. Zuckerman, Marvin, and D. Michael Kuhlman. 2000. “Personality and Risk-Taking: Common Biosocial Factors.” Journal of Personality 68 (6): 999–1029. https://doi.org/10.1111/1467-6494.00124.
97. Zyphur, M. J., J. Narayanan, R. D. Arvey, and G. J. Alexander. 2009. “The Genetics of Economic Risk Preferences.” Journal of Behavioral Decision Making 22 (4): 367–77. https://doi.org/10.1002/bdm.