Aller au contenuAller au menuAller à la recherche

Croisement neuroimagerie et génétique avec le GIN

le GIN dans Nature, une publication collaborative

Le 21 janvier 2015

"Common genetic variants influence human subcortical brain structures."
DOI: 10.1038/nature14101 Letter Research / 80 teams/ Bernard Mazoyer et al. GIN
http://www.nature.com/nature/journal/vaop/ncurrent/full/nature14101.html

 
 Bernard Mazoyer:  "L’article est important à deux titres"

 1. Les résultats indiquent que certains gènes sont en partie responsables du développement des structures cérébrales particulièrement impliquées dans les maladies neurodégénératives.

 2. La méthodologie est novatrice puisque grâce à deux consortia internationaux (ENIGMA et CHARGE, auxquels le GIN est affilié) plus de 80 équipes ont contribué à ce travail qui a permis d’analyser les données d’imagerie et le polymorphisme génétique de plus de 30000 sujets.

Cette publication démontre  l’importance du nouveau domaine de recherche que représente le croisement de la neuroimagerie et de la génétique


The identification of genetic variants that influence the structure of the brain, reported in Nature this week, provides insight into the causes of variability in human brain development. The findings may also help us to determine the genetic processes that underlie neuropsychiatric diseases. Portions of the human brain known as the subcortical regions are involved in functions associated with movement, learning, memory and motivation; alterations to the structure of these regions can lead to abnormal behaviour and disease.

To investigate how common genetic variants affect the structure of these brain regions, Sarah Medland and colleagues analysed genetic data and MRI scans collected from 30,717 individuals. They find a number of genetic variants that influence the volume of subcortical brain structures, and many of these variants seem to exert their effects through known developmental processes. One genetic variant found to be linked to changes in the volume of the hippocampus — a key region involved in learning and memory — is also known to be associated with schizophrenia.

These results demonstrate that using collaborative analysis of genetic and imaging data can facilitate the discovery of genetic variants that affect human brain development and dysfunction.

CONTACT
Sarah Medland (QIMR Berghofer Medical Research Institute, Brisbane, Australia) Tel: +61 7 3362 0248; E-mail: Sarah.Medland@qimrberghofer.edu.au

Paul Thompson (Imaging Genetics Center, Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, USA.) Tel: (+1) 310-428-7891; Email: pthomp@usc.edu