Bayesian Aggregation of Multiple Annotations Enhances Rare Variant Association Testing

Learn how Bayesian aggregation of multiple annotations can enhance rare variant association testing in this 25-minute conference talk from the Computational Genomics Summer Institute. Explore advanced statistical methods for improving the detection and analysis of rare genetic variants by combining multiple annotation sources through Bayesian frameworks. Discover how this approach addresses challenges in candidate-gene discovery and genome-wide rare variant analysis across large-scale genomic datasets. Examine the theoretical foundations of black box variational inference and its application to genomic data, while understanding how allelic-series rare-variant association tests can be enhanced through sophisticated annotation aggregation techniques. Gain insights into cutting-edge computational genomics methodologies that leverage thousands of phenotypes across tens of thousands of exomes to improve rare variant detection sensitivity and specificity.