17 July 2020
on course website
Brain Imaging Genetics: Genetics for Imagers
The course is directed at national and international researchers with a neuroimaging background, who wish to develop their knowledge and skills on state‐of‐the‐art developments in the field of neuroimaging genetics.
This intensive one-week course covers various aspects of genetics analyses of neuroimaging data. The course will start with basic information on the architecture of the human genome and the basis of heritability.
We will then move on to the statistical analysis of single common genetic variant for the different imaging modalities (structural imaging based on (sub)cortical volumetry or diffusion tensor imaging and brain activity/functional connectivity based on (resting state) fMRI).
This will be followed by analyses of whole gene and genome‐wide association studies and the meta-analysis of such data, including high-dimensional whole genome association studies. Other important topics include the integration across levels of investigation and linking genetics to behaviour via the brain – the essence of Cognomics research. The lecture programme will be supplemented with hands‐on computer exercises and demonstrations. Importantly, you will also learn how to genotype single nucleotide polymorphisms and score the genotypes in the wetlab.
Evenings will be reserved for social activities. The faculty includes researchers involved in the largest imaging genetics consortium world‐wide – the ENIGMA Consortium – and the Nijmegen Cognomics Initiative.
Prof. Dr. Barbara Franke, Chair of the Nijmegen Cognomics Initiative
Human Genetics, Radboudumc (univerisity medical center)
The course is designed for PhD candidates and postdocs; for some Master students it might also be possible to follow the course after a relevant internship.
After this course you are able to:
1. Prepare genetics data for imaging genetics analyses.
2. Genotype single nucleotide polymorphisms and determine the quality of genotyping data.
3. Perform analyses combining imaging and genetics data.
4. Determine whether the effects of a gene on behaviour are mediated by brain phenotypes.
EUR 500: The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.
We offer several reduced fees:
€ 450 (students/PhD’s) early bird discount- deadline 1 March 2020 (10%)
€ 425 partner + RU discount (15%)
€ 375 early bird + partner + RU discount (25%)
on course website