Problem statement and opportunity Headwinds: Increasingly difficult to develop therapies with an increased probability of success to differentiate from.

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Presentation transcript:

Problem statement and opportunity Headwinds: Increasingly difficult to develop therapies with an increased probability of success to differentiate from standard of care in real world clinics Tailwinds: Advances in genetics and genomics have reached an inflection point where data from humans can serve as “experiments of nature” to guide discoveries and implementation of novel therapies across all stages of pipeline

Why do drugs fails?

Human genetics helps to identify potential drug targets to start drug discovery DiseaseHealthy The key steps are: 1.Map genetic differences in those with disease vs healthy; 2.Understand how these genetic differences lead to disease; 3.Develop drugs against these targets that reverse disease processes in the population. The key steps are: 1.Map genetic differences in those with disease vs healthy; 2.Understand how these genetic differences lead to disease; 3.Develop drugs against these targets that reverse disease processes in the population. But, tens of thousands of potential targets… …and which one causes disease? …and how do you perturb the target? ? DiseaseHealthy vs “Drug” “Target”

Gene function Human phenotype high low GOF LOF Efficacy Toxicity This provides evidence for the therapeutic window at the time of target ID & validation. Pick a human phenotype for drug efficacy Assess biological function of alleles X X X X X X X Identify a series of alleles X Assess pleiotropy as proxy for ADEs New target for drug screen! Plenge, Scolnick, & Altshuler Nat Rev Drug Discovery (2013)

There are encouraging examples of this principle working in drug discovery – example of PCSK9 Thanks to new technologies, we can now find these disease genes… DiseaseHealthy …and design studies to find drugs that fix the underlying molecular defects – for example, blocking PCSK9 lowers LDL (or “bad”) cholesterol in the blood. Lysosome LDLR PCSK9 LDL-C mAb LDLR Recycling Many genes influence cholesterol levels and risk of heart disease Atherosclerotic Plaque Blood Flow

Also evidence that a portfolio of projects based on human genetics will outperform other portfolios

Why now? Explosion of genotype-phenotype correlation “maps”, including next- generation sequencing in US clinics and large-scale discovery efforts in places like Finland and England

Until recently, it was very difficult to establish accurate genetic maps of human disease… now we can! …and a more accurate molecular understanding of human disease. Cost of genome sequencing continues to drop rapidly… …which results in many more human genomes being sequenced…