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Functional Polymorphism of the Mu-Opioid Receptor Gene (OPRM1) Influences Reinforcement Learning in Humans

Overview of attention for article published in PLOS ONE, September 2011
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Title
Functional Polymorphism of the Mu-Opioid Receptor Gene (OPRM1) Influences Reinforcement Learning in Humans
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0024203
Pubmed ID
Authors

Mary R. Lee, Courtney L. Gallen, Xiaochu Zhang, Colin A. Hodgkinson, David Goldman, Elliot A. Stein, Christina S. Barr

Abstract

Previous reports on the functional effects (i.e., gain or loss of function), and phenotypic outcomes (e.g., changes in addiction vulnerability and stress response) of a commonly occurring functional single nucleotide polymorphism (SNP) of the mu-opioid receptor (OPRM1 A118G) have been inconsistent. Here we examine the effect of this polymorphism on implicit reward learning. We used a probabilistic signal detection task to determine whether this polymorphism impacts response bias to monetary reward in 63 healthy adult subjects: 51 AA homozygotes and 12 G allele carriers. OPRM1 AA homozygotes exhibited typical responding to the rewarded response--that is, their bias to the rewarded stimulus increased over time. However, OPRM1 G allele carriers exhibited a decline in response to the rewarded stimulus compared to the AA homozygotes. These results extend previous reports on the heritability of performance on this task by implicating a specific polymorphism. Through comparison with other studies using this task, we suggest a possible mechanism by which the OPRM1 polymorphism may confer reduced response to natural reward through a dopamine-mediated decrease during positive reinforcement learning.

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The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Unknown 61 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 24%
Student > Bachelor 12 19%
Researcher 6 10%
Student > Master 6 10%
Professor 4 6%
Other 8 13%
Unknown 12 19%
Readers by discipline Count As %
Psychology 15 24%
Agricultural and Biological Sciences 7 11%
Medicine and Dentistry 6 10%
Neuroscience 6 10%
Pharmacology, Toxicology and Pharmaceutical Science 5 8%
Other 7 11%
Unknown 17 27%