Genomic data is quickly becoming a game-changer in the field of drug development. Thanks to this powerful tool, researchers are able to delve deeper into the underlying causes of diseases and identify potential targets for therapy. By analyzing an individual’s genomic makeup using whole genome sequencing, RNA Sequencing or other deep omics data, researchers can predict which treatments are most likely to be effective, creating a more personalized approach to medicine that is revolutionizing the way we treat illness.

The impact of this new approach to drug development is already being felt in the field of oncology, where precision medicine has led to major breakthroughs. However, there is still huge potential to be unlocked in other disease areas, like cardiometabolic and autoimmune diseases. With the continued advancement of genomic technology, the possibilities are extensive.

This eBook delves into 6 specific use cases in which genomic data can be applied to the discovery and study of new therapeutics and shares some case studies of how this is being done in autoimmune and cardiometabolic disease areas:

Use cases include:

• Biomarker discovery
• Target identification and validation
• Pharmacogenetics and dosing
• Disease mechanism of action
• Predicting disease risk
• Patient stratification