SysGen – Systems Genetics

Co-PIs:

  • Johan Auwerx, EPFL

Objectives:

The underlying scientific goal is a longstanding question in genetics: how does genetic variations affect complex traits and through which mechanisms. By applying data mining techniques at different temporal, spatial, and molecular scales at the level of a population, we can start appreciating the relationships between different molecular and physiological players. With the deluge of data of different nature and sources, we ultimately want to zero in on genetic variants, biomarkers, and biological mechanisms that govern certain complex traits such as disease susceptibility, healthspan variability, or drug response effects. By having a good mechanistic understanding of these systems, we can find and validate new drug targets or propose new therapeutic options that could treat or intercept diseases. In order to achieve our scientific goals, we will need to overcome major technical obstacles by proposing a novel integrated data management and analysis infrastructure.