• About
  • Policies
  • What is open access
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Economics, Administrative And Social Sciences
      • Department of Psychology
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Economics, Administrative And Social Sciences
      • Department of Psychology
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      A polygenic risk score analysis of psychosis endophenotypes across brain functional, structural, and cognitive domains

      Thumbnail
      Embargo Lift Date: 2019-01-01
      View / Download
      768.2 Kb
      Author(s)
      Ranlund, S.
      Calafato, S.
      Thygesen, J. H.
      Lin, K.
      Cahn, W.
      Crespo-Facorro, B.
      Díez, A.
      Forti, M. D.
      Iyegbe, C.
      Jablensky, A.
      Jones, R.
      Hall, M.
      Kahn, R.
      Kalaydjieva, L.
      Kravariti, E.
      McDonald, C.
      McIntosh, A. M.
      McQuillin, A.
      Picchioni, M.
      Prata, D. P.
      Rujescu, D.
      Schulze, K.
      Shaikh, M.
      Toulopoulou, Timothea
      Haren, N.
      Zwarte, S. M. C.
      Os, J.
      Vassos, E.
      Walshe, M.
      Lewis, C.
      Murray, R. M.
      Powell, J.
      Bramon, E.
      Date
      2018
      Source Title
      American Journal of Medical Genetics. Part B: Neuropsychiatric Genetics
      Electronic ISSN
      1552-485X
      Publisher
      John Wiley & Sons, Inc.
      Volume
      177
      Issue
      1
      Pages
      21 - 34
      Language
      English
      Type
      Article
      Item Usage Stats
      196
      views
      112
      downloads
      Abstract
      This large multi‐center study investigates the relationships between genetic risk for schizophrenia and bipolar disorder, and multi‐modal endophenotypes for psychosis. The sample included 4,242 individuals; 1,087 patients with psychosis, 822 unaffected first‐degree relatives of patients, and 2,333 controls. Endophenotypes included the P300 event‐related potential (N = 515), lateral ventricular volume (N = 798), and the cognitive measures block design (N = 3,089), digit span (N = 1,437), and the Ray Auditory Verbal Learning Task (N = 2,406). Data were collected across 11 sites in Europe and Australia; all genotyping and genetic analyses were done at the same laboratory in the United Kingdom. We calculated polygenic risk scores for schizophrenia and bipolar disorder separately, and used linear regression to test whether polygenic scores influenced the endophenotypes. Results showed that higher polygenic scores for schizophrenia were associated with poorer performance on the block design task and explained 0.2% (p = 0.009) of the variance. Associations in the same direction were found for bipolar disorder scores, but this was not statistically significant at the 1% level (p = 0.02). The schizophrenia score explained 0.4% of variance in lateral ventricular volumes, the largest across all phenotypes examined, although this was not significant (p = 0.063). None of the remaining associations reached significance after correction for multiple testing (with alpha at 1%). These results indicate that common genetic variants associated with schizophrenia predict performance in spatial visualization, providing additional evidence that this measure is an endophenotype for the disorder with shared genetic risk variants. The use of endophenotypes such as this will help to characterize the effects of common genetic variation in psychosis.
      Keywords
      Bipolar disorder
      Cognition
      EEG
      Schizophrenia
      Single nucleotide polymorphism (SNP)
      Permalink
      http://hdl.handle.net/11693/48702
      Published Version (Please cite this version)
      https://doi.org/10.1002/ajmg.b.32581
      Collections
      • Department of Psychology 216
      Show full item record

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCoursesThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCourses

      My Account

      Login

      Statistics

      View Usage StatisticsView Google Analytics Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the site administrator. Phone: (312) 290 2976
      © Bilkent University - Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin | Privacy