| Literature DB >> 27138112 |
N S Corral-Frías1,2, D A Pizzagalli3, J M Carré4, L J Michalski2, Y S Nikolova5, R H Perlis6,7, J Fagerness7, M R Lee8, E Drabant Conley9, T M Lancaster10, S Haddad7, A Wolf11, J W Smoller6,7, A R Hariri12, R Bogdan2,13.
Abstract
Identifying mechanisms through which individual differences in reward learning emerge offers an opportunity to understand both a fundamental form of adaptive responding as well as etiological pathways through which aberrant reward learning may contribute to maladaptive behaviors and psychopathology. One candidate mechanism through which individual differences in reward learning may emerge is variability in dopaminergic reinforcement signaling. A common functional polymorphism within the catechol-O-methyl transferase gene (COMT; rs4680, Val(158) Met) has been linked to reward learning, where homozygosity for the Met allele (linked to heightened prefrontal dopamine function and decreased dopamine synthesis in the midbrain) has been associated with relatively increased reward learning. Here, we used a probabilistic reward learning task to asses response bias, a behavioral form of reward learning, across three separate samples that were combined for analyses (age: 21.80 ± 3.95; n = 392; 268 female; European-American: n = 208). We replicate prior reports that COMT rs4680 Met allele homozygosity is associated with increased reward learning in European-American participants (β = 0.20, t = 2.75, P < 0.01; ΔR(2) = 0.04). Moreover, a meta-analysis of 4 studies, including the current one, confirmed the association between COMT rs4680 genotype and reward learning (95% CI -0.11 to -0.03; z = 3.2; P < 0.01). These results suggest that variability in dopamine signaling associated with COMT rs4680 influences individual differences in reward which may potentially contribute to psychopathology characterized by reward dysfunction.Entities:
Keywords: Anhedonia; COMT; dopamine; meta-analysis; response bias; reward
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Year: 2016 PMID: 27138112 PMCID: PMC4891272 DOI: 10.1111/gbb.12296
Source DB: PubMed Journal: Genes Brain Behav ISSN: 1601-183X Impact factor: 3.449