The genetic architecture of the brain

Genes play a big role in determining the architecture of our brain: the way it’s folded, the thickness of the outer layer, and the way different brain areas are connected. By combining data from all over the world, a large collaboration of researchers from the ENIGMA consortium has now identified almost 200 genetic variants that are involved in this brain architecture. These findings can help us to further understand the genetics of brain disorders. 

Our genes contain the blueprint of our bodies. They contain information about how our cells function, and they determine for instance the colour of our eyes and hair, or whether we like cilantro (coriander) and bitter tastes. For some traits we know very well how they are influenced by genes. Eye color for instance is coded by only a few genes. But for many other traits such as height and personality, many different genes are involved. In addition, other (non-genetic) factors also influence these traits, such as malnutrition that can cause stunted growth.

The architecture of the brain is influenced by a large numer of genes, of which we still know very little. To investigate this, researchers combined genetic data of over 50.000 individuals with MRI-data. MRI-scans can show in detail the thickness of the outer layer of the brain, where all the brain cells are (also called the grey matter). They can also be used to measure how much this layer is folded, which gives information about the total surface of this outerlayer. This brain architecture is unique to every individual. The extent of the folds and the thickness of the outer layer have previously (in other research studies) been linked to cognitive abilities and various neurological and psychiatric disorders, such as Alzheimer’s disease, schizophrenia, depression, autism, and ADHD. It is therefore helpful to understand the genetics of this architecture, because it will help us to better understand the genetic mechanisms of these conditions.

The findings from this research study are also explained in this video:

This important research can only be done by combining a lot of data and collaborating with a large number of scientists and institutes. The ENIGMA consortium has been set upt to facilitate this kind of world-wide collaboration. The research that has now been published is the combined effort of more than 360 scientists from 296 departments across 184 different institutions and universities. They also made their results downloadable so that everyone who is interested can have a closer look.

The full publication can be found here: https://science.sciencemag.org/content/367/6484/eaay6690

See also our previous blogposts about these topics:

 

 

 

The cortex and ADHD: the second project of the ENIGMA-ADHD collaboration.

After the first project on subcortical brain volumes in ADHD, published in Lancet Psychiatry in 2017 , ENIGMA-ADHD now analysed cortical data of 2246 people with a diagnosis of ADHD and 1713 people without, aged between four and 63 years old.  The data came from 37 research groups from around the world. FreeSurfer (imaging software) parcellations of thickness and surface area of 34 cortical regions were compared between cases and controls in 3 separate age groups; children, adolescents and adults.

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Subtle differences only in the group of children were found. The childhood effects were most prominent and widespread for the surface area of the cortex. More focal changes were found for thickness of the cortex. All differences were subtle and detected only at a group level, and thus these brain images cannot be used to diagnose ADHD or guide its treatment.

These subtle differences in the brain’s cortex were not limited to people with the clinical diagnosis of ADHD: they were also present – in a less marked form – in youth with some ADHD symptoms. This second finding results from a collaboration between the ENIGMA-ADHD Working Group and the Generation-R study from Rotterdam, which has brain images on 2700 children aged 9-11 years from the general population. The researchers found more symptoms of inattention to be associated with a decrease in cortical surface area. In a third study, using the NeuroImage data from Nijmegen and Amsterdam, familial effects on those regions that showed case-control differences were investigated.  Siblings of those with ADHD showed changes to their cortical surface area that resembled their affected sibling. This suggests that familial factors such as genetics or shared environment may play a role in brain cortical characteristics.

We identified cortical differences that are consistently associated with ADHD combining data from many different research groups internationally. We find that the differences extend beyond narrowly-defined clinical diagnoses and are seen, in a less marked manner, in those with some ADHD symptoms and in unaffected siblings of people with ADHD. This finding supports the idea that the symptoms underlying ADHD may be a continuous trait in the population, which has already been reported by other behavioural and genetic studies.’ In the future, the ADHD Working Group, which is led by Martine Hoogman and Barbara Franke from the Radboudumc in Nijmegen, hopes to look at additional key features in the brain- such as the structural connections between brain areas – and to increase the representation of adults affected by ADHD, in whom limited research has been performed to date.

Link to the article: Hoogman et al., Brain Imaging of the Cortex in ADHD: A Coordinated Analysis of Large-Scale Clinical and Population-Based Samples

To learn more about other projects that are carried out using ENIGMA-ADHD data, please also read the paper by Yanli Zhang-James and colleagues on bioRxiv. Here, the ENIGMA-ADHD data of the first and the second project were used to do prediction modelling.  

The ADHD Working Group is one of over 50 working groups of the ENIGMA Consortium, in which international researchers pull together to understand the brain alterations associated with different disorders and the role of genetic and environmental factors in those alterations. For more information about ENIGMA-ADHD please visit our website http://enigma.usc.edu/ongoing/enigma-adhd-working-group/ or contact Martine Hoogman martine.hoogman (at) radboudumc.nlenigma_300dpi