The department studies the underlying causes of variation health and disease and contributes to identifying targets for functional follow-up studies.
In the post-GWAS era the aim of genetic research has expanded to the identification of the actual genes underlying stable genetic contributions to various key traits of behavior, cognition and health. Identifying these genes is important as it may lead us to understand why some people are more prone to mental disorders and physical disease than others, and may help improve early diagnosis, prevention and treatment of disease.
Research in our lab explores the genetic and environmental causes of individual differences in human traits related to behavior, cognition and mental and physical health. We integrate knowledge from different fields (biology, genetics, neuroimaging, bioinformatics, stem cell biology) and use and develop statistical tools to analyze and understand GWAS data for complex traits.
We use a variety of experimental methods (brain imaging, genotyping, iPSC) as well as statistical and bioinformatics methods, and also develop novel statistical tools for the analysis of genome-wide data.
We collaborate with many international groups in statistical and psychiatric genetics, such as the Karolinska Institutet, Stockholm, Sweden, the University of Chapel Hill, US, the Broad Institute, Boston, US, the Mount Sinaii Hospital, US, and the Queensland Brain Institute, Australia.
CTG directs the genetic cluster computer at surfSARA and is part of the Psychiatric Genomics Consortium, the European consortium SynSys, the Dutch Neurobasic Mouse Phenomics consortium and Cognitionnet.
Currently about 20 scientists are working at the department in two research teams.