EP 238: Uncovering epistatic interactions in complex disease with machine learning with Bin Yu of UC Berkeley

Episode notes

This week on The Genetics Podcast, Patrick is joined by Dr. Bin Yu, CDSS Chancellor’s Distinguished Professor at UC Berkeley. They discuss how different statistical approaches, from linear models to random forests, can be used to study complex genetic traits, recent findings on epistasis in cardiomyopathy, and how improving robustness and reproducibility can lead to more reliable scientific conclusions.

• EP 244: Building the first n-of-1 ASO: The new frontier of rare disease with Timothy Yu of Boston Children’s Hospital64 / 100
• EP 243: How BD² is using genetics and deep phenotyping to transform bipolar research with Cara Altimus and Ben Neale59 / 100
• EP 245: Developing targeted therapies for ALS with Eric Green of Trace Neuroscience [Re-run]
• EP 242: Connecting dementia research, policy, and patient communities with Angela Bradshaw of Alzheimer Europe [Re-Run]
• EP 241: The hard-won lessons behind Encoded Therapeutics’ Dravet syndrome gene therapy with Salvador Rico [Re-run]