Massive parallel sequencing (MPS) allows for fast, high-throughput detection of rare variants, greatly increasing the research field’s potential to study the ‘common disease, rare variant’ hypothesis. Due to the large influx of these data, however, information for the same variants is often spread across multiple sources and interpretation of the impact of the variant to disease is more likely than not missing. We set out to combine all information available on sequence variants identified in PD patients, from literature, publically available MPS datasets and MPS datasets from collaborators.

This database builds upon the concept and the data available at PDmutDB ; PI, Christine Van Broeckhoven), which houses literature data on the five major genes of Parkinson Disease (SNCA, PARK2, PINK1, PARK7 and LRRK2).

We are currently working to further optimize several of the functionalities of this database