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General and specific patterns of cortical gene expression as spatial correlates of complex cognitive functioning.
Moodie, Joanna E; Harris, Sarah E; Harris, Mathew A; Buchanan, Colin R; Davies, Gail; Taylor, Adele; Redmond, Paul; Liewald, David C M; Valdés Hernández, Maria Del C; Shenkin, Susan; Russ, Tom C; Muñoz Maniega, Susana; Luciano, Michelle; Corley, Janie; Stolicyn, Aleks; Shen, Xueyi; Steele, Douglas; Waiter, Gordon; Sandu, Anca-Larisa; Bastin, Mark E; Wardlaw, Joanna M; McIntosh, Andrew; Whalley, Heather; Tucker-Drob, Elliot M; Deary, Ian J; Cox, Simon R.
Afiliação
  • Moodie JE; Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
  • Harris SE; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK.
  • Harris MA; Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
  • Buchanan CR; Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
  • Davies G; Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
  • Taylor A; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK.
  • Redmond P; Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
  • Liewald DCM; Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
  • Valdés Hernández MDC; Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
  • Shenkin S; Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
  • Russ TC; Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
  • Muñoz Maniega S; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK.
  • Luciano M; Centre for Clinical Brain Sciences, University of Edinburgh, UK.
  • Corley J; Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
  • Stolicyn A; Centre for Clinical Brain Sciences, University of Edinburgh, UK.
  • Shen X; Ageing and Health Research Group, Usher Institute, University of Edinburgh, UK.
  • Steele D; Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
  • Waiter G; Centre for Clinical Brain Sciences, University of Edinburgh, UK.
  • Sandu AL; Alzheimer Scotland Dementia Research Centre, University of Edinburgh, UK.
  • Bastin ME; Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
  • Wardlaw JM; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK.
  • McIntosh A; Centre for Clinical Brain Sciences, University of Edinburgh, UK.
  • Whalley H; Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
  • Tucker-Drob EM; Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
  • Deary IJ; Centre for Clinical Brain Sciences, University of Edinburgh, UK.
  • Cox SR; Centre for Clinical Brain Sciences, University of Edinburgh, UK.
Hum Brain Mapp ; 45(4): e26641, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38488470
ABSTRACT
Gene expression varies across the brain. This spatial patterning denotes specialised support for particular brain functions. However, the way that a given gene's expression fluctuates across the brain may be governed by general rules. Quantifying patterns of spatial covariation across genes would offer insights into the molecular characteristics of brain areas supporting, for example, complex cognitive functions. Here, we use principal component analysis to separate general and unique gene regulatory associations with cortical substrates of cognition. We find that the region-to-region variation in cortical expression profiles of 8235 genes covaries across two major principal components gene ontology analysis suggests these dimensions are characterised by downregulation and upregulation of cell-signalling/modification and transcription factors. We validate these patterns out-of-sample and across different data processing choices. Brain regions more strongly implicated in general cognitive functioning (g; 3 cohorts, total meta-analytic N = 39,519) tend to be more balanced between downregulation and upregulation of both major components (indicated by regional component scores). We then identify a further 29 genes as candidate cortical spatial correlates of g, beyond the patterning of the two major components (|ß| range = 0.18 to 0.53). Many of these genes have been previously associated with clinical neurodegenerative and psychiatric disorders, or with other health-related phenotypes. The results provide insights into the cortical organisation of gene expression and its association with individual differences in cognitive functioning.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Transtornos Mentais Limite: Humans Idioma: En Revista: Hum Brain Mapp Assunto da revista: CEREBRO Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Transtornos Mentais Limite: Humans Idioma: En Revista: Hum Brain Mapp Assunto da revista: CEREBRO Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido