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Genetic variants associated with longitudinal changes in brain structure across the lifespan

  • The IMAGEN Consortium
  • UMC University Medical Center Utrecht
  • VU Amsterdam
  • University of California at San Diego
  • Donders Institute for Brain, Cognition and Behaviour
  • QIMR Berghofer Medical Research Institute
  • Utrecht Institute of Linguistics OTS
  • Keck School of Medicine of USC
  • American Psychiatric Association
  • Oklahoma City Veterans Affairs Medical Center
  • UCLA Semel Institute for Neuroscience and Human Behavior
  • Biogen Inc.
  • Instituut Lorentz for Theoretical Physics
  • Complutense University of Madrid
  • University of Oslo
  • Université Paris-Saclay
  • Molecular Genetics Unit, Hospital Universitario Marqués de Valdecilla and Instituto de Formación e Investigación Marques de Valdecilla (IFIMAV), Av. Cardenal Herrera Oria s/n, Santander, Spain.
  • University of Zaragoza; Instituto de Investigacion Sanitaria de Aragon (IIS) and Centro de Investigacion Biomedica en Red de Salud Mental (CIBERSAM), Zaragoza, Spain.
  • University of Cantabria
  • University of Edinburgh
  • University of Sydney
  • National University of Ireland Galway
  • King's College London
  • Pontificia Universidad Catolica de Chile
  • Erasmus University Medical Center
  • Institut für Kernphysik
  • TU Dresden
  • Centre for Population Neuroscience and Precision Medicine
  • Fudan University
  • University of Auckland
  • Brain Research New Zealand - Rangahau Roro Aotearoa
  • SLaM South London and Maudsley NHS Foundation Trust
  • University Medical Center Göttingen
  • National Institute of Mental Health (NIH)

Research output: Contribution to journalArticlepeer-review

137 Citations (Scopus)

Abstract

Human brain structure changes throughout the lifespan. Altered brain growth or rates of decline are implicated in a vast range of psychiatric, developmental and neurodegenerative diseases. In this study, we identified common genetic variants that affect rates of brain growth or atrophy in what is, to our knowledge, the first genome-wide association meta-analysis of changes in brain morphology across the lifespan. Longitudinal magnetic resonance imaging data from 15,640 individuals were used to compute rates of change for 15 brain structures. The most robustly identified genes GPR139, DACH1 and APOE are associated with metabolic processes. We demonstrate global genetic overlap with depression, schizophrenia, cognitive functioning, insomnia, height, body mass index and smoking. Gene set findings implicate both early brain development and neurodegenerative processes in the rates of brain changes. Identifying variants involved in structural brain changes may help to determine biological pathways underlying optimal and dysfunctional brain development and aging.

Original languageEnglish
Pages (from-to)421-432
Number of pages12
JournalNature Neuroscience
Volume25
Issue number4
Early online date5 Apr 2022
DOIs
Publication statusPublished - 5 Apr 2022

Keywords

  • Aging/genetics
  • Brain
  • Genome-Wide Association Study
  • Humans
  • Longevity/genetics
  • Magnetic Resonance Imaging

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