First genetic map of the cerebral cortex produced in collaborative effort

First genetic map of the cerebral cortex produced in collaborative effort

Publication date: Mar 21, 2020

by QIMR Berghofer Medical Research Institute Image of cortical surface area and thickness. Credit: Tyler Ard, James Stanis, and Arthur Toga at the Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California A major international collaboration has produced the first genetic map of the cerebral cortex, identifying more than 300 genetic variants that influence the structure of the key brain region. The cerebral cortex-often referred to as the ‘grey matter’ – plays a crucial role in thinking, information processing, memory and attention. It is the relatively thin, folded, outer layer of the brain. Its folds are a way of packing in more neurons, or brain cells. The extent of the folds-which are measured by surface area-and the thickness of the cortex have previously been linked to cognitive abilities and various psychiatric traits, including schizophrenia, bipolar disorder, depression, attention deficit hyperactivity disorder (ADHD), and autism. However, until now, not a lot was known about the genetic variants that influence the size of the surface area and thickness of the cortex. More than 360 scientists from 184 different institutions contributed to the global effort, which has been published today in the prestigious journal Science. The key analysis was conducted by Dr. Katrina Grasby from the Psychiatric Genetics Research Group at QIMR Berghofer, as well as other researchers from the Institute, the University of Southern California and the University of North Carolina. Dr. Grasby said the researchers identified 306 genetic variants that influenced the structure of the cerebral cortex. “We conducted this study to identify genetic variants that influence brain structure in order to shed light on how our genetics contribute to these differences among us,” Dr. Grasby said. “We found that the genetic variants that are linked to a smaller surface area of the cerebral cortex-or less folding-also contribute to a greater risk of ADHD, depression and insomnia. “This gives us a starting point to further explore this genetic link between the structure of the brain and ADHD. “Our findings are now a resource that can be used by other scientist to help answer more questions about the genetic influences on the brain and how they relate to numerous behavioral or disease outcomes. ” QIMR Berghofer’s Associate Professor LuccEDa Colodro-Conde, who was also a co-author, said the researchers studied MRI scans and DNA from more than 50 thousand people. “By analyzing brain images and genetic information from such a large group of people, we were able to predict one third of the differences in cortex structure between individuals with genetic variants,” Associate Professor Colodro-Conde said. “It is only by sharing data through these major, international collaborations that we can continue to unpick the highly complex relationship between our genes, brain structure, and various disorders. ” L. Grasby et al. The genetic architecture of the human cerebral cortex, Science (2020). DOI: Berghofer Medical Research Institute Citation: First genetic map of the cerebral cortex produced in collaborative effort (2020, March 20) retrieved 21 March 2020 from This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Concepts Keywords
ADHD ADHD
Autism Schizophrenia
Bipolar Disorder Psychiatry
Brain Brain
Cerebral Cortex Psychiatric diagnosis
Cognitive Neuroscience
Cortex Mood disorders
Cortical Childhood psychiatric disorders
Depression Depression
Fair Dealing Cerebral cortex
Genetic Bipolar disorder
Genetic Map MRI
Grey Matter
Insomnia
Memory
MRI
Neuroimaging
Neurons
North Carolina
Schizophrenia
Southern California

Semantics

Type Source Name
disease MESH insomnia
drug DRUGBANK Nonoxynol-9
disease MESH autism
disease MESH depression
disease MESH attention deficit hyperactivity disorder
disease MESH bipolar disorder
disease MESH schizophrenia

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