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

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • IMAGEN Consortium - (Autor:in)
  • Klinik und Poliklinik für Psychiatrie und Psychotherapie
  • Fakultät Psychologie
  • Neuroimaging Center
  • Utrecht University
  • Vrije Universiteit Amsterdam (VU)
  • University of California at San Diego
  • Radboud University Nijmegen
  • Queensland Institute of Medical Research
  • University of Southern California
  • American Psychiatric Association
  • VA Medical Center
  • University of California at Los Angeles
  • Biogen
  • Leiden University
  • Complutense University
  • University of Oslo
  • Université Paris-Saclay
  • Hospital Universitario Marques de Valdecilla
  • CIBER - Center for Biomedical Research Network
  • Universidad de Cantabria
  • King's College London (KCL)
  • University of Edinburgh
  • Erasmus University Rotterdam
  • University of Sydney
  • Ernst-Moritz-Arndt-Universität Greifswald
  • University of Galway
  • Pontificia Universidad Católica de Chile
  • Westfälische Wilhelms-Universität Münster
  • Universitätsklinikum Carl Gustav Carus Dresden
  • Technische Universität Dresden
  • University of Groningen
  • University of Cape Town
  • Departments of Experimental and Clinical Psychology
  • Universität Heidelberg

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.

Details

OriginalspracheEnglisch
Seiten (von - bis)421-432
Seitenumfang12
FachzeitschriftNature neuroscience
Jahrgang25
Ausgabenummer4
PublikationsstatusVeröffentlicht - Apr. 2022
Peer-Review-StatusJa

Externe IDs

PubMed 35383335
ORCID /0000-0001-5398-5569/work/150329535
ORCID /0000-0002-8493-6396/work/150330256

Schlagworte

Ziele für nachhaltige Entwicklung

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