• About
  • Policies
  • What is openaccess
  • 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.

      Heritability of neuropsychological measures in schizophrenia and nonpsychiatric populations: a systematic review and meta-analysis

      Thumbnail
      View / Download
      17.2 Mb
      Author
      Blokland, G. A. M.
      Mesholam-Gately, R. I.
      Toulopoulou, T.
      Del Re, E. C.
      Lam, M.
      Delisi, L. E.
      Donohoe, G.
      Walters, J. T. R.
      Seidman, L. J.
      Petryshen, T. L.
      Date
      2017
      Source Title
      Schizophrenia Bulletin
      Print ISSN
      0586-7614
      Electronic ISSN
      1745-1701
      Publisher
      Oxford University Press
      Volume
      43
      Issue
      4
      Pages
      788 - 800
      Type
      Review
      Item Usage Stats
      122
      views
      224
      downloads
      Abstract
      Schizophrenia is characterized by neuropsychological deficits across many cognitive domains. Cognitive phenotypes with high heritability and genetic overlap with schizophrenia liability can help elucidate the mechanisms leading from genes to psychopathology. We performed a meta-analysis of 170 published twin and family heritability studies of >800 000 nonpsychiatric and schizophrenia subjects to accurately estimate heritability across many neuropsychological tests and cognitive domains. The proportion of total variance of each phenotype due to additive genetic effects (A), shared environment (C), and unshared environment and error (E), was calculated by averaging A, C, and E estimates across studies and weighting by sample size. Heritability ranged across phenotypes, likely due to differences in genetic and environmental effects, with the highest heritability for General Cognitive Ability (32%-67%), Verbal Ability (43%-72%), Visuospatial Ability (20%-80%), and Attention/Processing Speed (28%-74%), while the lowest heritability was observed for Executive Function (20%-40%). These results confirm that many cognitive phenotypes are under strong genetic influences. Heritability estimates were comparable in nonpsychiatric and schizophrenia samples, suggesting that environmental factors and illness-related moderators (eg, medication) do not substantially decrease heritability in schizophrenia samples, and that genetic studies in schizophrenia samples are informative for elucidating the genetic basis of cognitive deficits. Substantial genetic overlap between cognitive phenotypes and schizophrenia liability (average r g = '.58) in twin studies supports partially shared genetic etiology. It will be important to conduct comparative studies in well-powered samples to determine whether the same or different genes and genetic variants influence cognition in schizophrenia patients and the general population.
      Keywords
      Cognition
      Endophenotypes
      Heritability
      Meta - analysis
      Neuropsychology
      Twin study
      Permalink
      http://hdl.handle.net/11693/38228
      Published Version (Please cite this version)
      http://dx.doi.org/10.1093/schbul/sbw146
      Collections
      • Department of Psychology 157
      Show full item record

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartments

      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 1771
      Copyright © Bilkent University - Library IT

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