Advertisement

Schizophrenia and Macroscale Brain Structure: Genes in Context

  • Meike D. Hettwer
    Affiliations
    Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

    Institute for Neuroscience and Medicine, Brain and Behavior (INM-7), Forschungszentrum Jülich, Jülich, Germany

    Institute for Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany

    Max Planck School of Cognition, Leipzig, Germany
    Search for articles by this author
  • Amin Saberi
    Affiliations
    Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

    Institute for Neuroscience and Medicine, Brain and Behavior (INM-7), Forschungszentrum Jülich, Jülich, Germany

    Institute for Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
    Search for articles by this author
  • Yun-Shuang Fan
    Affiliations
    Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

    The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
    Search for articles by this author
  • Sofie L. Valk
    Correspondence
    Address correspondence to Sofie L. Valk, Ph.D.
    Affiliations
    Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

    Institute for Neuroscience and Medicine, Brain and Behavior (INM-7), Forschungszentrum Jülich, Jülich, Germany

    Institute for Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
    Search for articles by this author
      SEE CORRESPONDING ARTICLE ON PAGE 291
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Biological Psychiatry
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Alnaes D.
        • Kaufmann T.
        • van der Meer D.
        • Cordova-Palomera A.
        • Rokicki J.
        • Moberget T.
        • et al.
        Brain heterogeneity in schizophrenia and its association with polygenic risk.
        JAMA Psychiatry. 2019; 76: 739-748
        • Pardinas A.F.
        • Holmans P.
        • Pocklington A.J.
        • Escott-Price V.
        • Ripke S.
        • Carrera N.
        • et al.
        Publisher Correction: Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection.
        Nat Genet. 2019; 51: 1193
        • van der Meer D.
        • Shadrin A.A.
        • O’Connell K.
        • Bettella F.
        • Djurovic S.
        • Wolfers T.
        • et al.
        Boosting schizophrenia genetics by utilizing genetic overlap with brain morphology.
        Biol Psychiatry. 2022; 92: 291-298
        • Watanabe K.
        • Stringer S.
        • Frei O.
        • Umicevic Mirkov M.
        • de Leeuw C.
        • Polderman T.J.C.
        • et al.
        A global overview of pleiotropy and genetic architecture in complex traits.
        Nat Genet. 2019; 51: 1339-1348
        • van der Meer D.
        • Frei O.
        • Kaufmann T.
        • Chen C.H.
        • Thompson W.K.
        • O’Connell K.S.
        • et al.
        Quantifying the polygenic architecture of the human cerebral cortex: Extensive genetic overlap between cortical thickness and surface area.
        Cereb Cortex. 2020; 30: 5597-5603
        • Cheng W.
        • Frei O.
        • van der Meer D.
        • Wang Y.
        • O’Connell K.S.
        • Chu Y.
        • et al.
        Genetic association between schizophrenia and cortical brain surface area and thickness.
        JAMA Psychiatry. 2021; 78: 1020-1030
        • French L.
        • Gray C.
        • Leonard G.
        • Perron M.
        • Pike G.B.
        • Richer L.
        • et al.
        Early cannabis use, polygenic risk score for schizophrenia and brain maturation in adolescence.
        JAMA Psychiatry. 2015; 72: 1002-1011
        • Guerrin C.G.J.
        • Doorduin J.
        • Sommer I.E.
        • de Vries E.F.J.
        The dual hit hypothesis of schizophrenia: Evidence from animal models.
        Neurosci Biobehav Rev. 2021; 131: 1150-1168
        • Dell’Osso L.
        • Lorenzi P.
        • Carpita B.
        The neurodevelopmental continuum towards a neurodevelopmental gradient hypothesis.
        J Psychopathol. 2019; 25: 179-182
        • Andreassen O.A.
        • Thompson W.K.
        • Schork A.J.
        • Ripke S.
        • Mattingsdal M.
        • Kelsoe J.R.
        • et al.
        Improved detection of common variants associated with schizophrenia and bipolar disorder using pleiotropy-informed conditional false discovery rate.
        PLoS Genet. 2013; 9e1003455

      Linked Article

      • Boosting Schizophrenia Genetics by Utilizing Genetic Overlap With Brain Morphology
        Biological PsychiatryVol. 92Issue 4
        • Preview
          Schizophrenia is a complex polygenic disorder with subtle, distributed abnormalities in brain morphology. There are indications of shared genetic architecture between schizophrenia and brain measures despite low genetic correlations. Through the use of analytical methods that allow for mixed directions of effects, this overlap may be leveraged to improve our understanding of underlying mechanisms of schizophrenia and enrich polygenic risk prediction outcome.
        • Full-Text
        • PDF
        Open Access