IDEAS home Printed from https://ideas.repec.org/a/eee/intell/v65y2017icp75-92.html
   My bibliography  Save this article

Associations of the COMT Val158Met polymorphism with working memory and intelligence – A review and meta-analysis

Author

Listed:
  • Geller, Susann
  • Wilhelm, Oliver
  • Wacker, Jan
  • Hamm, Alfons
  • Hildebrandt, Andrea

Abstract

The Val158Met polymorphism influences the activity of the Catechol-O-Methyl-Transferase (COMT), an enzyme involved in dopamine metabolism. Dopamine availability is vital for prefrontal functions. Therefore researchers claimed that Val158Met is causal for cognitive abilities. Published findings from single studies report mixed results. This meta-analysis examines the COMT genotype associations with working memory and intelligence in healthy populations. A systematic literature search was conducted yielding 412 studies, 58 of which could be included in the meta-analyses. There were no substantial COMT Val158Met effects on cognitive abilities, showing that either the true effect is zero or too small to be uncovered due to insufficient power of the analysis. The discussion focuses on power issues in research synthesis in general and their implications concerning the relation of Val158Met with working memory and intelligence in specific. Desiderata for research synthesis closely resemble those formulated in the open science framework: fully transparent single study design and data use of scientifically recommended methodologies.

Suggested Citation

  • Geller, Susann & Wilhelm, Oliver & Wacker, Jan & Hamm, Alfons & Hildebrandt, Andrea, 2017. "Associations of the COMT Val158Met polymorphism with working memory and intelligence – A review and meta-analysis," Intelligence, Elsevier, vol. 65(C), pages 75-92.
  • Handle: RePEc:eee:intell:v:65:y:2017:i:c:p:75-92
    DOI: 10.1016/j.intell.2017.09.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160289617301381
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.intell.2017.09.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    2. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    3. Shoko Tsuchimine & Norio Yasui-Furukori & Ayako Kaneda & Sunao Kaneko, 2013. "Differential Effects of the Catechol-O-Methyltransferase Val158Met Genotype on the Cognitive Function of Schizophrenia Patients and Healthy Japanese Individuals," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bart Verkuil & Serpil Atasayi & Marc L Molendijk, 2015. "Workplace Bullying and Mental Health: A Meta-Analysis on Cross-Sectional and Longitudinal Data," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-16, August.
    2. Augusteijn, Hilde Elisabeth Maria & van Aert, Robbie Cornelis Maria & van Assen, Marcel A. L. M., 2021. "Posterior Probabilities of Effect Sizes and Heterogeneity in Meta-Analysis: An Intuitive Approach of Dealing with Publication Bias," OSF Preprints avkgj, Center for Open Science.
    3. Georgiou, George K. & Guo, Kan & Naveenkumar, Nithya & Vieira, Ana Paula Alves & Das, J.P., 2020. "PASS theory of intelligence and academic achievement: A meta-analytic review," Intelligence, Elsevier, vol. 79(C).
    4. Nian-Feng Wan & Liwan Fu & Matteo Dainese & Yue-Qing Hu & Lars Pødenphant Kiær & Forest Isbell & Christoph Scherber, 2022. "Plant genetic diversity affects multiple trophic levels and trophic interactions," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    5. Kim, Yeolib & Kim, Seung Hyun & Peterson, Robert A. & Choi, Jeonghye, 2023. "Privacy concern and its consequences: A meta-analysis," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    6. K. Praveen Parboteeah & Matthias Weiss & Martin Hoegl, 2024. "Ethical Climates Across National Contexts: A Meta-Analytical Investigation," Journal of Business Ethics, Springer, vol. 189(3), pages 573-590, January.
    7. Woodley of Menie, Michael A. & Peñaherrera-Aguirre, Mateo & Sarraf, Matthew A., 2022. "Signs of a Flynn effect in rodents? Secular differentiation of the manifold of general cognitive ability in laboratory mice (Mus musculus) and Norwegian rats (Rattus norvegicus) over a century—Results," Intelligence, Elsevier, vol. 95(C).
    8. Stav Fainshmidt & Amir Pezeshkan & M. Lance Frazier & Anil Nair & Edward Markowski, 2016. "Dynamic Capabilities and Organizational Performance: A Meta-Analytic Evaluation and Extension," Journal of Management Studies, Wiley Blackwell, vol. 53(8), pages 1348-1380, December.
    9. Jaskiewicz, Peter & Block, Joern & Wagner, Dominik & Carney, Michael & Hansen, Christopher, 2021. "How do cross-country differences in institutional trust and trust in family explain the mixed performance effects of family management? A meta-analysis," Journal of World Business, Elsevier, vol. 56(5).
    10. Anouk Decuypere & Wilmar Schaufeli, 2021. "Exploring the Leadership–Engagement Nexus: A Moderated Meta-Analysis and Review of Explaining Mechanisms," IJERPH, MDPI, vol. 18(16), pages 1-34, August.
    11. Haiko Schurz & Michelle Daya & Marlo Möller & Eileen G Hoal & Muneeb Salie, 2015. "TLR1, 2, 4, 6 and 9 Variants Associated with Tuberculosis Susceptibility: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-24, October.
    12. Kadykalo, Andrew N. & Findlay, C. Scott, 2016. "The flow regulation services of wetlands," Ecosystem Services, Elsevier, vol. 20(C), pages 91-103.
    13. Mattia Marchi & Antonio Travascio & Daniele Uberti & Edoardo De Micheli & Fabio Quartaroli & Giuseppe Laquatra & Pietro Grenzi & Luca Pingani & Silvia Ferrari & Andrea Fiorillo & Manlio Converti & Fed, 2024. "Microaggression toward LGBTIQ people and implications for mental health: A systematic review," International Journal of Social Psychiatry, , vol. 70(1), pages 23-35, February.
    14. Lang, Jessica & Ochsmann, Elke & Kraus, Thomas & Lang, Jonas W.B., 2012. "Psychosocial work stressors as antecedents of musculoskeletal problems: A systematic review and meta-analysis of stability-adjusted longitudinal studies," Social Science & Medicine, Elsevier, vol. 75(7), pages 1163-1174.
    15. David B. Yaden & Cassondra L. Batz-Barbarich & Vincent Ng & Hoda Vaziri & Jessica N. Gladstone & James O. Pawelski & Louis Tay, 2022. "A Meta-Analysis of Religion/Spirituality and Life Satisfaction," Journal of Happiness Studies, Springer, vol. 23(8), pages 4147-4163, December.
    16. Sergio Nolazco & Kaspar Delhey & Shinichi Nakagawa & Anne Peters, 2022. "Ornaments are equally informative in male and female birds," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    17. Friederike Teetzen & Paul-Christian Bürkner & Sabine Gregersen & Sylvie Vincent-Höper, 2022. "The Mediating Effects of Work Characteristics on the Relationship between Transformational Leadership and Employee Well-Being: A Meta-Analytic Investigation," IJERPH, MDPI, vol. 19(5), pages 1-26, March.
    18. Tsung-Yuan Hsiao & Wen-Ta Tseng, 2022. "A Meta-Analysis of Test-Retest Reliability in Language Anxiety Research: Is Language Anxiety Stable or Variable?," SAGE Open, , vol. 12(4), pages 21582440221, November.
    19. Alessandra Perra & Chiara Laura Riccardo & Valerio De Lorenzo & Erika De Marco & Lorenzo Di Natale & Peter Konstantin Kurotschka & Antonio Preti & Mauro Giovanni Carta, 2023. "Fully Immersive Virtual Reality-Based Cognitive Remediation for Adults with Psychosocial Disabilities: A Systematic Scoping Review of Methods Intervention Gaps and Meta-Analysis of Published Effective," IJERPH, MDPI, vol. 20(2), pages 1-13, January.
    20. Jeanne Gubbels & Claudia E. van der Put & Mark Assink, 2019. "The Effectiveness of Parent Training Programs for Child Maltreatment and Their Components: A Meta-Analysis," IJERPH, MDPI, vol. 16(13), pages 1-31, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:intell:v:65:y:2017:i:c:p:75-92. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.