EP 203: Building the tools behind modern genomics with Jonathan Marchini of Regeneron

<p>This week on The Genetics Podcast, Patrick is joined by Jonathan Marchini, Head of Statistical Genetics and Machine Learning at the Regeneron Genetics Center. They discuss Jonathan’s pioneering role in developing computational methods from the HapMap era through to today, how those innovations underpin large-scale imputation and analysis, and why exomes with imputation remain more powerful than whole genomes for discovery at Regeneron.</p><p><br></p><p><strong>Show Notes: </strong></p><p><strong>0:00 </strong>Intro to The Genetics Podcast</p><p><strong>00:59</strong> Welcome to Jonathan</p><p><strong>01:47</strong> Jonathan’s career path from teaching in rural Tanzania to genomics research at Oxford</p><p><strong>04:43 </strong>Lessons from the HapMap era and the birth of imputation</p><p><strong>08:30</strong> Ongoing challenges with data sharing and usable tools </p><p><strong>10:30 </strong>Handling massive genetic datasets at Regeneron and developing new computational methods to...