Explore approaches to classifying variants in TP53 and other hereditary cancer genes in this informative webinar. Gain an overview of current methods for interpreting germline variants, comparing ACMG codes with quantitative classification models. Learn how to mine data to determine the applicability and weight of evidence codes for specific genes. Discover insights on bioinformatic feature assessment, segregation data analysis, and functional assay calibration for genes like BRCA1/2. Examine the process of converting bioinformatic predictions to ACMG/AMP guidelines, compare tool performances, and understand the use of somatic data in classification. This comprehensive presentation, featuring Amanda Spurdle, PhD, and moderated by Sarah Campian, MS CGC, offers valuable knowledge for professionals working in genetic variant interpretation and hereditary cancer research.