Accurate variant interpretation is critical in hereditary cancer genetics, but it’s often complex due to conflicting data and evolving clinical context. In this webinar, Molecular Geneticist Dr. Ana Krivokuca will lead a live, case-based demonstration using Franklin by QIAGEN, showing how the platform's structured workflows, ACMG criteria and integrated data can support confident, transparent interpretations while addressing uncertainty and real-world clinical decision-making.

You will learn:

- How to evaluate complex variants

    > Using real-world cases examples of how Franklin helps users classify variants of unknown significance (VUS) and structural findings

- How to balance evidence and recognize when a finding is relevant

    > Applying automated ACMG classification, a vast repository of community-shared data and integrated Human Gene Mutation Database (HGMD) content to determine significance and avoid overinterpretation

- How to develop a practical framework for hereditary cancer variant interpretation

    > Leveraging a platform that acts as a hybrid system that automates technical processes while providing tools for human experts to make final, informed decisions