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Genetic influences on individual differences in longitudinal changes in global and subcortical brain volumes: Results of the ENIGMA plasticity working group.
Brouwer, Rachel M; Panizzon, Matthew S; Glahn, David C; Hibar, Derrek P; Hua, Xue; Jahanshad, Neda; Abramovic, Lucija; de Zubicaray, Greig I; Franz, Carol E; Hansell, Narelle K; Hickie, Ian B; Koenis, Marinka M G; Martin, Nicholas G; Mather, Karen A; McMahon, Katie L; Schnack, Hugo G; Strike, Lachlan T; Swagerman, Suzanne C; Thalamuthu, Anbupalam; Wen, Wei; Gilmore, John H; Gogtay, Nitin; Kahn, René S; Sachdev, Perminder S; Wright, Margaret J; Boomsma, Dorret I; Kremen, William S; Thompson, Paul M; Hulshoff Pol, Hilleke E.
Afiliação
  • Brouwer RM; Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Panizzon MS; Department of Psychiatry, University of California, San Diego, California.
  • Glahn DC; Department of Psychiatry, Yale University of Medicine, New Haven, Connecticut.
  • Hibar DP; Imaging Genetics Center, Keck School of Medicine of USC, Marina del Rey, California.
  • Hua X; Imaging Genetics Center, Keck School of Medicine of USC, Marina del Rey, California.
  • Jahanshad N; Imaging Genetics Center, Keck School of Medicine of USC, Marina del Rey, California.
  • Abramovic L; Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.
  • de Zubicaray GI; Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Australia.
  • Franz CE; Department of Psychiatry, University of California, San Diego, California.
  • Hansell NK; Queensland Brain Institute, University of Queensland, St. Lucia, QLD, Australia.
  • Hickie IB; Clinical Research Unit, Brain & Mind Research Institute, University of Sydney, NSW, Australia.
  • Koenis MMG; Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Martin NG; QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Mather KA; Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales, Sydney, Australia.
  • McMahon KL; Centre for Advanced Imaging, University of Queensland, St. Lucia, QLD, Australia.
  • Schnack HG; Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Strike LT; Queensland Brain Institute, University of Queensland, St. Lucia, QLD, Australia.
  • Swagerman SC; Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Thalamuthu A; Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales, Sydney, Australia.
  • Wen W; Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales, Sydney, Australia.
  • Gilmore JH; Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina.
  • Gogtay N; National Institute of Mental Health, Bethesda, Maryland.
  • Kahn RS; Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Sachdev PS; Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales, Sydney, Australia.
  • Wright MJ; Queensland Brain Institute, University of Queensland, St. Lucia, QLD, Australia.
  • Boomsma DI; Centre for Advanced Imaging, University of Queensland, St. Lucia, QLD, Australia.
  • Kremen WS; Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Thompson PM; Department of Psychiatry, University of California, San Diego, California.
  • Hulshoff Pol HE; Imaging Genetics Center, Keck School of Medicine of USC, Marina del Rey, California.
Hum Brain Mapp ; 38(9): 4444-4458, 2017 09.
Article em En | MEDLINE | ID: mdl-28580697
ABSTRACT
Structural brain changes that occur during development and ageing are related to mental health and general cognitive functioning. Individuals differ in the extent to which their brain volumes change over time, but whether these differences can be attributed to differences in their genotypes has not been widely studied. Here we estimate heritability (h2 ) of changes in global and subcortical brain volumes in five longitudinal twin cohorts from across the world and in different stages of the lifespan (N = 861). Heritability estimates of brain changes were significant and ranged from 16% (caudate) to 42% (cerebellar gray matter) for all global and most subcortical volumes (with the exception of thalamus and pallidum). Heritability estimates of change rates were generally higher in adults than in children suggesting an increasing influence of genetic factors explaining individual differences in brain structural changes with age. In children, environmental influences in part explained individual differences in developmental changes in brain structure. Multivariate genetic modeling showed that genetic influences of change rates and baseline volume significantly overlapped for many structures. The genetic influences explaining individual differences in the change rate for cerebellum, cerebellar gray matter and lateral ventricles were independent of the genetic influences explaining differences in their baseline volumes. These results imply the existence of genetic variants that are specific for brain plasticity, rather than brain volume itself. Identifying these genes may increase our understanding of brain development and ageing and possibly have implications for diseases that are characterized by deviant developmental trajectories of brain structure. Hum Brain Mapp 384444-4458, 2017. © 2017 Wiley Periodicals, Inc.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Característica Quantitativa Herdável / Variação Biológica Individual / Modelos Genéticos Tipo de estudo: Observational_studies / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Característica Quantitativa Herdável / Variação Biológica Individual / Modelos Genéticos Tipo de estudo: Observational_studies / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article