Evidence map›Paper›PMID 27138112›Full record

SynthesisGenes, brain, and behavior2016

COMT Val(158) Met genotype is associated with reward learning: a replication study and meta-analysis.

N S Corral-Frías, D A Pizzagalli, J M Carré, L J Michalski, Y S Nikolova, R H Perlis, J Fagerness, M R Lee, E Drabant Conley, T M Lancaster and 5 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Genes, brain, and behavior, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Biopsychology Lab: COMT Genotype Associations with Vagal Tone and Frontal Alpha Asymmetry.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2025
    Article
  5. Understanding Anhedonia from a Genomic Perspective.Current topics in behavioral neurosciences · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 10 institutions in 3 countries.

N S Corral-FríasPsychiatry Department, Washington University in St. Louis, St. Louis, MO, USA.
D A PizzagalliCenter For Depression, Anxiety and Stress Research and Neuroimaging Center, McLean Hospital and Harvard Medical School, Belmont, MA, USA.
J M CarréNipissing University, North Bay, Ontario, Canada.
L J MichalskiBRAIN Laboratory, Department of Psychology, Washington University in St. Louis, St. Louis, MO, USA.
Y S NikolovaCentre for Addiction and Mental Health Toronto, Ontario, Canada.
R H PerlisMassachusetts General Hospital and Harvard Medical School, Cambridge, MA, USA.
J FagernessPsychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA.
M R LeeNational Institute on Drug Abuse, Intramural Research Program, Baltimore, MD, USA.
E Drabant Conley23 and Me.
T M LancasterNeuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK.
S HaddadPsychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA.
A WolfDepartment of Psychiatry Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
J W SmollerMassachusetts General Hospital and Harvard Medical School, Cambridge, MA, USA.
A R HaririLaboratory of NeuroGenetics, Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.
R BogdanBRAIN Laboratory, Department of Psychology, Washington University in St. Louis, St. Louis, MO, USA.
Massachusetts General Hospital · USWashington University in St. Louis · USCardiff University · GBCenter for Human Genetics · USCentre for Addiction and Mental Health · CADuke University · USHarvard University · USMcLean Hospital · USNational Institute on Drug Abuse · USNipissing University · CA

Funding

Quantifying Individual Differences in Midlife Structural Brain Integrity Associated with Later AD/ADRD RiskR01AG049789 · NIA · DUKE UNIVERSITY · PI AHMAD R. HARIRI, TERRIE E MOFFITT · 2015 to 2026
$10.6M
Neuroimaging Studies of Reward Processing in DepressionR01MH068376 · NIMH · MCLEAN HOSPITAL · PI PIZZAGALLI, DIEGO A · 2004 to 2014
$4.5M
Training in the Genetics and Molecular Biology of Mental DisordersT32MH014677 · NIMH · WASHINGTON UNIVERSITY · PI RICE, JOHN P. · 1985 to 2020
$3.6M
Personality and Health in Later Life: Psychosocial and Biological MechanismsR01AG045231 · NIA · WASHINGTON UNIVERSITY · PI OLTMANNS, THOMAS · 2014 to 2018
$2.9M
Training At The Interface of Psychology, Neuroscience, and GeneticsT32GM081739 · NIGMS · WASHINGTON UNIVERSITY · PI BARCH, DEANNA · 2007 to 2016
$2.1M
Multi level Analysis of Positive Valence Systems Across Mood DisordersR01MH101521 · NIMH · MCLEAN HOSPITAL · PI PIZZAGALLI, DIEGO A · 2013 to 2016
$2.1M
Self-Regulation Failure: Identifying and Modifying a Risk PhenotypeR01DA031579 · NIDA · DUKE UNIVERSITY · PI HARIRI, AHMAD R., STRAUMAN, TIMOTHY J · 2010 to 2012
$1.9M
Neurogenetic Pathways to Drug Use in Young AdultsR01DA033369 · NIDA · DUKE UNIVERSITY · PI HARIRI, AHMAD R. · 2013 to 2016
$1.4M
NIA NIH HHS R01 AG045231NIA NIH HHS R01 AG049789NIDA NIH HHS R01 DA031579NIDA NIH HHS R01 DA033369NIGMS NIH HHS T32 GM081739NIMH NIH HHS R01 MH068376NIMH NIH HHS R01 MH101521NIMH NIH HHS T32 MH014677
6 · The paper itself

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.

Indexed as

Polymorphism, Single NucleotideRewardAllelesCatechol O-MethyltransferaseFemaleGenotypeHomozygoteHumansMaleMutation, MissenseYoung AdultCatechol O-MethyltransferaseCOMT protein, humanAnhedoniaCOMTdopaminemeta-analysisresponse biasreward

Identifiers

PMID27138112
PMCPMC4891272
OpenAlexW2347119109

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.