Associative learning and the genetics of schizophrenia

Jeremy Hall, Liana Romaniuk, Andrew M. McIntosh, J. Douglas Steele, Eve C. Johnstone, Stephen M. Lawrie

    Research output: Contribution to journalReview articlepeer-review

    22 Citations (Scopus)

    Abstract

    Several well-validated susceptibility genes for schizophrenia have now been identified. We suggest that these genes can be divided into two broad classes. Those in the first class have direct effects on synaptic plasticity mediated through actions at glutamatergic synapses; those in the second class impact on meso-limbic dopamine signalling. We argue that these genes have an interactive effect on risk for psychosis and that this interaction can be understood in the context of associative learning theory. We illustrate how genetic variation in genes from these classes can contribute to the development of psychosis using data from the Edinburgh High Risk Study of schizophrenia.

    Original languageEnglish
    Pages (from-to)359-365
    Number of pages7
    JournalTrends in Neurosciences
    Volume32
    Issue number6
    DOIs
    Publication statusPublished - Jun 2009

    Keywords

    • CATECHOL-O-METHYLTRANSFERASE
    • LONG-TERM POTENTIATION
    • PREDICTION-ERROR
    • INCENTIVE SALIENCE
    • SYNAPTIC PLASTICITY
    • REWARD PREDICTION
    • BRAIN STRUCTURE
    • NMDA RECEPTORS
    • HIGH-RISK
    • DOPAMINE

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