Genetic testing is on the cusp of a major revolution, which has the potential to shift not just how we understand our risk for disease, but how we practice healthcare. In the clinic today, genetic testing is used only in cases where we know that mutations have big impact on physiology (BRCA mutations in breast cancer, for example). But our knowledge of how our genetics influences our risk for disease has evolved, and we now know that many (tens of thousands to even millions) small changes in our genes, each of which individually has a tiny effect, combine to influence our risk profile. This new appreciation — coupled with powerful statistical methods and massive datasets — has fueled the creation of a new tool to quantify the risk of a broad range of common diseases: the polygenic risk score. On this episode, host Lauren Richardson (@lr_bio) is joined by Dr. Peter Donnelly, (@genemodeller Professor of Statistical Science at the University of Oxford and co-founder and CEO of Genomics PLC), and Vineeta Agarwala, (@vintweeta physician-scientist and general partner at a16z), to discuss these scores and how they can reshape healthcare, away from a paradigm of treating illness and towards prevention and maintenance of health.
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Peter Donnelly is a Professor of Statistical Science at the University of Oxford and a Fellow of St. Anne’s College.
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Vineeta Agarwala is a general partner on the Bio + Health team at Andreessen Horowitz, focused on biotech, digital health, and life sciences tools/diagnostics.
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Lauren Richardson is the Founder and Principal of LR Bio LLC.
More About This Podcast
Between the growing ability to engineer biology for therapeutics, and the integration of tech into how patients receive care, bio and health are fundamentally changing the world. Join the team at a16z and host Olivia Webb as they discuss these transformations with scientists, builders, and leaders.