Journal article

A neuroeconomic investigation of 5-HTT/5-HT1A gene variation, social anxiety, and risk-taking behavior

DOKPE

Show more…
  • 2020
Published in:
  • ANXIETY, STRESS, & COPING. - London : Informa UK Limited. - 2020, vol. 33, no. 2, p. 176-192
English Background and objectives:
Although approaches combining behavioral genetics and neuroeconomics have advanced models of addiction, no study has synthesized these methods to elucidate mechanisms of competing risk-approachand risk-avoidance in social anxiety (SA). Grounded in dual-mode models of serotonergic systems and self-regulation, this study investigated associations between SA, serotonin transporter 5-HTT (LPR; rs25531) and receptor 5-HT1A genes, and risk-taking on behavioral and self-report measures.

Design and methods:
Young adults (N = 309) completed a neuroeconomic task measuring gambling attractiveness (δ), reward probability discrimination (γ), and risk attitudes (α). Risk genotypes included 5-HTT (LPR; rs25531) low-expression variants (SS/SLG/LGLG), and 5-HT1A (rs6295) GG.

Results:
Path analysis revealed that SA related to increased gambling attractiveness, but only for 5-HT1A risk groups. Although the 5-HTT (LPR; rs25531) risk genotypes and self-reported SA predicted lower social risk-taking, high-SA individuals who exhibited more accurate reward probability discrimination (γ) reported taking increased social risks.

Conclusion:
In line with dual-mode models, results suggest that SA predicts behavioral risk-approach at the basic decision-making level, along with self-reported social risk-avoidance, modulated by serotonergic genotypes. High-SA individuals with more accurate assessments of reward probabilities may engage in greater social risk-taking, perhaps reflecting an adaptive tendency to approach feared situations.
Faculty
Faculté des sciences et de médecine
Department
Master en médecine
Language
  • English
Classification
Medicine
License
License undefined
Open access status
green
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/327492
Statistics

Document views: 11 File downloads:
  • stamatisetal.2020.pdf: 23