Aims: This research aims to develop a new method for finding potential drug targets by analyzing large-scale genetic data. We will focus on using PheWAS (Phenome-Wide Association Studies) to discover genetic variations that may play different roles in various diseases. Our goal is to identify genetic targets that could be used to create new, more effective, and safer medicines.
Scientific Rationale: Biobanks have collected vast amounts of genetic and health information over many years. This data provides a valuable opportunity to explore how genetic differences affect the risk of developing various diseases. By using PheWAS, we can study how a single genetic change might be linked to multiple health conditions, such as cancer or autoimmune diseases. Interestingly, some genetic changes might protect against one disease while increasing the risk of another. Understanding these specific trends in effects could lead to the discovery of new drug targets that are more specific and have fewer side effects. This research builds on the idea that if we can better understand these aspects of PheWAS, we can screen more relevant drug targets.
Public Health Impact: This research has the potential to greatly improve public health by speeding up the development of new drugs. By identifying more precise drug targets, we can create treatments that are tailored to specific diseases and are less likely to cause unwanted side effects. This approach could lead to more effective therapies for conditions like cancer, autoimmune diseases, fibrosis, and aging-related diseases, ultimately improving patient outcomes and reducing healthcare costs.
