From Variant to Function: Prediction and Understanding Variants Function

This section will focus on applying novel technologies to access gene regulation networks, understand complex disease mechanism, and deep learning approaches for sequencing data analysis and rare variant interpretation.

Learning Objectives:
1. State the advantages of multimodal single cell sequencing in defining CRISPR induced genetic variation.
2. Identify the gene regulatory mechanisms downstream of neuron-astrocyte interactions.
3. Evaluate the relationship between circRNA function and Alzheimer's disease.
4. Construct an in silico module for comprehensive gene regulatory networks analyses.
5. Design novel methods and deep learning approaches for sequencing data analysis.
6. Define a new approach to interpret rare variants when the goal is to identify a sub-population at low risk of disease

Please note: This item is only available as part of the ASHG 2024 Annual Meeting Digital Pass.