Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
- Queensland Institute of Medical Research
- University of Queensland
- Rutgers - The State University of New Jersey, New Brunswick
- University of Oslo
- Diakonhjemmet Hospital
- Karolinska Institutet
- Brown University
- Royal College of Surgeons in Ireland
- University of Melbourne
- National Ageing Research Institute
- University Hospital of Lille
- Institut Pasteur de Lille
- Rush University
- Illinois Institute of Technology
- Radboud University Nijmegen
- Curtin University
- University of Edinburgh
- Boston University
- University of Washington
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- University of New South Wales
- University of Regensburg
- Leipzig University
- Altrecht Mental Health Institute
- Georgia Institute of Technology
- LSU Pennington Biomedical Research Center
- McGill University
- Lieber Institute for Brain Development
- Keck School of Medicine at University of Southern California
- University of Basel
- University of Seville
- Université de Bordeaux
- University of California at San Diego
- University of Bristol
- Columbia University
- Queensland University of Technology
- Bordeaux population Health
- University Hospital of Bordeaux
- University of California at Davis
- University Hospital Brussels
- King's College London (KCL)
- University of Bergen
- German Center for Mental Health (DZPG)
- Charité – Universitätsmedizin Berlin
- Bjørknes University College
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.
Details
| Original language | English |
|---|---|
| Pages (from-to) | 2333-2344 |
| Number of pages | 21 |
| Journal | Nature genetics |
| Volume | 56 |
| Issue number | 11 |
| Early online date | 21 Oct 2024 |
| Publication status | Published - Nov 2024 |
| Peer-reviewed | Yes |
External IDs
| PubMed | 39433889 |
|---|---|
| ORCID | /0000-0003-2132-4445/work/176862719 |