The Translational Neurogenomics Laboratory is headed by Prof. Dr. Eske Derks. The group currently includes 10 members (2 postdocs, 2 visiting scientists, 2 PhD students and 3 undergraduate students). The Translational Neurogenomics Laboratory has identified genetic risk factors for a range of neuropsychiatric conditions, including substance use disorders, schizophrenia, depression, and obsessive compulsive disorder. Researchers in this group use genetic data to address questions, such as: Which genetic variants in the DNA increase the risk of developing a neuropsychiatric disease? What is the genetic overlap across different psychiatric disorders? What are the downstream molecular consequences underlying statistical genetic associations? Which existing drugs may be repurposed for prevention and treatment of neuropsychiatric diseases?
Group Leader: Professor Eske Derks
- Zachary Gerring, Postdoctoral Staff
- Inga Schwabe, Visiting Scientist
- Andries Marees, PhD Student
- Angela Sunley, Honours Student
- Angela Mina Vargas, Research Officer, Translational Neurogenomics
- Jackson Thorp, PhD Student
- Danielle Sams, Masters Student
- Emma Freeman, Honours Student
- Eric Gamazon, Visiting Scientist
Eske Derks has published 120 scientific articles and has a H-index of 41. Please see her Google Scholar page for a full list of publications.
Selected Key Publications
- Gamazon ER, .., Derks EM (in press) Multi-tissue transcriptome analysis reveals genetic mechanisms of neuropsychiatric traits. Nature Genetics.
- Pasman JA,., Derks EM*, Vink JM (2018) GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal influence of schizophrenia. Nature Neuroscience, 21,1161-70 *shared senior author
- Minica CC,.., Derks EM (2018) Genome-Wide Association Meta-Analysis of Age at First Cannabis Use. Addiction, 113, 2073-86
- Spanagel R,., Derks, EM (2013) A systems medicine research approach for studying alcohol addiction. Addiction Biology, 18, 883-96
- Derks EM et al (2012) Kraepelin was right: a latent class analysis of symptom dimensions in patients and controls. Schizophrenia Bulletin, 38, 495-505
- Integrating genomic data to characterise inherited risk factors for mental health disorders
- The interplay between environmental and genetic risk factors in the etiology of substance use disorders
- Understanding why mental health disorders are often diagnosed together: a study of genetic and environmental risk factors
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