Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries

Authors

Luis M. García-Marín, QIMR Berghofer Medical Research Institute
Adrian I. Campos, QIMR Berghofer Medical Research Institute
Santiago Diaz-Torres, Faculty of Medicine
Jill A. Rabinowitz, Rutgers Robert Wood Johnson Medical School
Zuriel Ceja, QIMR Berghofer Medical Research Institute
Brittany L. Mitchell, QIMR Berghofer Medical Research Institute
Katrina L. Grasby, QIMR Berghofer Medical Research Institute
Jackson G. Thorp, QIMR Berghofer Medical Research Institute
Ingrid Agartz, Oslo Universitetssykehus
Saud Alhusaini, The Warren Alpert Medical School
David Ames, University of Melbourne
Philippe Amouyel, Facteurs de Risque et Déterminants Moléculaires des Maladies Liées au Vieillissement (RID-AGE)
Ole A. Andreassen, Oslo Universitetssykehus
Konstantinos Arfanakis, Rush Alzheimer’s Disease Center
Alejandro Arias-Vasquez, Donders Institute for Brain, Cognition and Behaviour
Nicola J. Armstrong, Curtin University
Lavinia Athanasiu, Universitetet i Oslo
Mark E. Bastin, Edinburgh Medical School
Alexa S. Beiser, School of Public Health
David A. Bennett, Rush Alzheimer’s Disease Center
Joshua C. Bis, University of Washington School of Medicine
Marco P.M. Boks, University Medical Center Utrecht
Dorret I. Boomsma, Vrije Universiteit Amsterdam
Henry Brodaty, UNSW Medicine
Rachel M. Brouwer, Vrije Universiteit Amsterdam
Jan K. Buitelaar, Donders Institute for Brain, Cognition and Behaviour
Ralph Burkhardt, Klinikum der Universität Regensburg und Medizinische Fakultät
Wiepke Cahn, University Medical Center Utrecht
Vince D. Calhoun, Georgia Institute of Technology
Owen T. Carmichael, Pennington Biomedical Research Center
Mallar Chakravarty, Le Centre de Recherche Douglas
Qiang Chen, Lieber Institute for Brain Development
Christopher R.K. Ching, Keck School of Medicine of USC
Sven Cichon, Forschungszentrum Jülich GmbH

Document Type

Article

Publication Date

11-1-2024

Abstract

Subcortical brain structures are involved in developmental, psychiatric and neurological disorders. Here we performed genome-wide association studies meta-analyses of intracranial and nine subcortical brain volumes (brainstem, caudate nucleus, putamen, hippocampus, globus pallidus, thalamus, nucleus accumbens, amygdala and the ventral diencephalon) in 74,898 participants of European ancestry. We identified 254 independent loci associated with these brain volumes, explaining up to 35% of phenotypic variance. We observed gene expression in specific neural cell types across differentiation time points, including genes involved in intracellular signaling and brain aging-related processes. Polygenic scores for brain volumes showed predictive ability when applied to individuals of diverse ancestries. We observed causal genetic effects of brain volumes with Parkinson’s disease and attention-deficit/hyperactivity disorder. Findings implicate specific gene expression patterns in brain development and genetic variants in comorbid neuropsychiatric disorders, which could point to a brain substrate and region of action for risk genes implicated in brain diseases.

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