Most people with epilepsy have a presumed underlying genetic cause, but genetics is currently rarely used to diagnose or classify epilepsy in routine clinical care. The project you will work on aims to translate recent groundbreaking findings on the genetics of epilepsy into faster diagnosis, prediction of epilepsy subtype and severity, to result in precision therapy targeted at the cause of the disease.
This involves:
- Calculating polygenic risk scores (PRS) to quantify genetic burden of epilepsy risk variants.
- Devise novel ways to combine common and rare genetic variants in a PRS.
- Performing genome-wide association studies (GWAS), using genomic data from >50.000 patients.
- Testing real-world applicability of PRS to improve epilepsy diagnosis and prognosis after a first seizure.
Locally, you will work closely with a small team, provide guidance to other members, and supervise students. Your project is integrated into the MING project, where you will collaborate with a team of clinical researchers, bioinformaticians and statisticians in the departments of (Child) Neurology and Genetics. Internationally, your work will be embedded within the largest international epilepsy genetics consortium, comprising >300 researchers worldwide.