O31: The landscape of variant reclassification: Learnings from over 2 million classified variants in over 3.6 million individuals by Britt Johnson, Yuya Kobayashi, Elaine Chen, Dan Swartzlander, Flavia Facio, Swaroop Aradhya

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P277: Modeling cellular evidence: Scalable approaches for generating, validating and incorporating data from high-throughput functional assays to improve clinical variant interpret... by Jason Reuter, Yuya Kobayashi, Flavia Facio, Swaroop Aradhya, Britt Johnson, Alex Colavin, Keith Nykamp

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P073: Novel high-throughput functional models for MLH1, MSH2, and PMS2 have high accuracy for clinical variant classification by David Stafford, Jason Reuter, Samskruthi Padigepati, Flavia Facio, Michael Korn, Britt Johnson, Keith Nykamp

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P164: Scalable Bayesian variant interpretation of Lynch syndrome genes using genotype and phenotype data for over 1.5M patients referred for testing* by Toby Manders, Yuya Kobayashi, Alex Wahl, Baxter Eaves, Flavia Facio, Michael Korn, Britt Johnson, Keith Nykamp

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P244: Developing Bayesian graphical models to provide continuous, probabilistic variant interpretation by Toby Manders, Yuya Kobayashi, John Nicoludis, Arun Numpally, Flavia Facio, Britt Johnson, Keith Nykamp, Robert Nussbaum, Alex Colavin

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P490: The impact of machine learning algorithms in reducing VUS for individuals from underrepresented populations compared to well studied populations by Britt Johnson, Ana Morales, Flavia Facio, Laure Fresard, Dianalee McKnight, Yuya Kobayashi, Jason Reuter, Keith Nykamp, Swaroop Aradhya, Alexandre Colavin

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