Author
Listed:
- Jakub Kopal
(McGill University
Mila - Quebec Artificial Intelligence Institute)
- Kuldeep Kumar
(Centre de recherche CHU Sainte-Justine and University of Montréal)
- Karin Saltoun
(McGill University
Mila - Quebec Artificial Intelligence Institute)
- Claudia Modenato
(Centre Hospitalier Universitaire Vaudois and University of Lausanne)
- Clara A. Moreau
(Human Genetics and Cognitive Functions, CNRS UMR 3571: Genes, Synapses and Cognition, Institut Pasteur)
- Sandra Martin-Brevet
(Centre Hospitalier Universitaire Vaudois and University of Lausanne)
- Guillaume Huguet
(Centre de recherche CHU Sainte-Justine and University of Montréal)
- Martineau Jean-Louis
(Centre de recherche CHU Sainte-Justine and University of Montréal)
- Charles-Olivier Martin
(Centre de recherche CHU Sainte-Justine and University of Montréal)
- Zohra Saci
(Centre de recherche CHU Sainte-Justine and University of Montréal)
- Nadine Younis
(Centre de recherche CHU Sainte-Justine and University of Montréal)
- Petra Tamer
(Centre de recherche CHU Sainte-Justine and University of Montréal)
- Elise Douard
(Centre de recherche CHU Sainte-Justine and University of Montréal)
- Anne M. Maillard
(Centre Hospitalier Universitaire Vaudois and University of Lausanne)
- Borja Rodriguez-Herreros
(Centre Hospitalier Universitaire Vaudois and University of Lausanne)
- Aurèlie Pain
(Centre Hospitalier Universitaire Vaudois and University of Lausanne)
- Sonia Richetin
(Centre Hospitalier Universitaire Vaudois and University of Lausanne)
- Leila Kushan
(UCLA)
- Ana I. Silva
(Maastricht University
Cardiff University)
- Marianne B. M. Bree
(Cardiff University
Cardiff University
Cardiff University)
- David E. J. Linden
(Maastricht University
Cardiff University
Cardiff University)
- Michael J. Owen
(Cardiff University
Cardiff University)
- Jeremy Hall
(Cardiff University
Cardiff University)
- Sarah Lippé
(Centre de recherche CHU Sainte-Justine and University of Montréal)
- Bogdan Draganski
(Centre Hospitalier Universitaire Vaudois and University of Lausanne
Max-Planck-Institute for Human Cognitive and Brain Sciences)
- Ida E. Sønderby
(Oslo University Hospital and University of Oslo
Oslo University Hospital
University of Oslo)
- Ole A. Andreassen
(Oslo University Hospital and University of Oslo
University of Oslo)
- David C. Glahn
(Boston Children’s Hospital and Harvard Medical School)
- Paul M. Thompson
(Keck School of Medicine of USC)
- Carrie E. Bearden
(UCLA)
- Sébastien Jacquemont
(Centre de recherche CHU Sainte-Justine and University of Montréal)
- Danilo Bzdok
(McGill University
Mila - Quebec Artificial Intelligence Institute
McGill University)
Abstract
Copy number variations (CNVs) are rare genomic deletions and duplications that can affect brain and behaviour. Previous reports of CNV pleiotropy imply that they converge on shared mechanisms at some level of pathway cascades, from genes to large-scale neural circuits to the phenome. However, existing studies have primarily examined single CNV loci in small clinical cohorts. It remains unknown, for example, how distinct CNVs escalate vulnerability for the same developmental and psychiatric disorders. Here we quantitatively dissect the associations between brain organization and behavioural differentiation across 8 key CNVs. In 534 CNV carriers, we explored CNV-specific brain morphology patterns. CNVs were characteristic of disparate morphological changes involving multiple large-scale networks. We extensively annotated these CNV-associated patterns with ~1,000 lifestyle indicators through the UK Biobank resource. The resulting phenotypic profiles largely overlap and have body-wide implications, including the cardiovascular, endocrine, skeletal and nervous systems. Our population-level investigation established brain structural divergences and phenotypical convergences of CNVs, with direct relevance to major brain disorders.
Suggested Citation
Jakub Kopal & Kuldeep Kumar & Karin Saltoun & Claudia Modenato & Clara A. Moreau & Sandra Martin-Brevet & Guillaume Huguet & Martineau Jean-Louis & Charles-Olivier Martin & Zohra Saci & Nadine Younis , 2023.
"Rare CNVs and phenome-wide profiling highlight brain structural divergence and phenotypical convergence,"
Nature Human Behaviour, Nature, vol. 7(6), pages 1001-1017, June.
Handle:
RePEc:nat:nathum:v:7:y:2023:i:6:d:10.1038_s41562-023-01541-9
DOI: 10.1038/s41562-023-01541-9
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nathum:v:7:y:2023:i:6:d:10.1038_s41562-023-01541-9. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.