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Genetic insights into human cortical organization and development through genome-wide analyses of 2,347 neuroimaging phenotypes.
Warrier, Varun; Stauffer, Eva-Maria; Huang, Qin Qin; Wigdor, Emilie M; Slob, Eric A W; Seidlitz, Jakob; Ronan, Lisa; Valk, Sofie L; Mallard, Travis T; Grotzinger, Andrew D; Romero-Garcia, Rafael; Baron-Cohen, Simon; Geschwind, Daniel H; Lancaster, Madeline A; Murray, Graham K; Gandal, Michael J; Alexander-Bloch, Aaron; Won, Hyejung; Martin, Hilary C; Bullmore, Edward T; Bethlehem, Richard A I.
Affiliation
  • Warrier V; Department of Psychiatry, University of Cambridge, Cambridge, UK. vw260@medschl.cam.ac.uk.
  • Stauffer EM; Department of Psychology, University of Cambridge, Cambridge, UK. vw260@medschl.cam.ac.uk.
  • Huang QQ; Department of Psychiatry, University of Cambridge, Cambridge, UK.
  • Wigdor EM; Wellcome Trust Sanger Institute, Hinxton, UK.
  • Slob EAW; Wellcome Trust Sanger Institute, Hinxton, UK.
  • Seidlitz J; Medical Research Council Biostatistics Unit, University of Cambridge, Cambridge, UK.
  • Ronan L; Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands.
  • Valk SL; Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus University Rotterdam, Rotterdam, the Netherlands.
  • Mallard TT; Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Grotzinger AD; Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA.
  • Romero-Garcia R; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
  • Baron-Cohen S; Department of Psychiatry, University of Cambridge, Cambridge, UK.
  • Geschwind DH; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, FZ Jülich, Jülich, Germany.
  • Lancaster MA; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
  • Murray GK; Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
  • Gandal MJ; Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Alexander-Bloch A; Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
  • Won H; Department of Psychology and Neuroscience, University of Colorado at Boulder, Boulder, CO, USA.
  • Martin HC; Institute for Behavioral Genetics, University of Colorado at Boulder, Boulder, CO, USA.
  • Bullmore ET; Department of Psychiatry, University of Cambridge, Cambridge, UK.
  • Bethlehem RAI; Instituto de Biomedicina de Sevilla (IBiS) HUVR/CSIC/Universidad de Sevilla/CIBERSAM, ISCIII, Dpto. de Fisiología Médica y Biofísica, Seville, Spain.
Nat Genet ; 55(9): 1483-1493, 2023 09.
Article in En | MEDLINE | ID: mdl-37592024
ABSTRACT
Our understanding of the genetics of the human cerebral cortex is limited both in terms of the diversity and the anatomical granularity of brain structural phenotypes. Here we conducted a genome-wide association meta-analysis of 13 structural and diffusion magnetic resonance imaging-derived cortical phenotypes, measured globally and at 180 bilaterally averaged regions in 36,663 individuals and identified 4,349 experiment-wide significant loci. These phenotypes include cortical thickness, surface area, gray matter volume, measures of folding, neurite density and water diffusion. We identified four genetic latent structures and causal relationships between surface area and some measures of cortical folding. These latent structures partly relate to different underlying gene expression trajectories during development and are enriched for different cell types. We also identified differential enrichment for neurodevelopmental and constrained genes and demonstrate that common genetic variants associated with cortical expansion are associated with cephalic disorders. Finally, we identified complex interphenotype and inter-regional genetic relationships among the 13 phenotypes, reflecting the developmental differences among them. Together, these analyses identify distinct genetic organizational principles of the cortex and their correlates with neurodevelopment.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cerebral Cortex / Genome-Wide Association Study Type of study: Systematic_reviews Limits: Humans Language: En Journal: Nat Genet Journal subject: GENETICA MEDICA Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cerebral Cortex / Genome-Wide Association Study Type of study: Systematic_reviews Limits: Humans Language: En Journal: Nat Genet Journal subject: GENETICA MEDICA Year: 2023 Document type: Article Affiliation country: