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Watch a 23-minute webinar exploring how genomic and genetic data disparities impact clinical outcomes, particularly for racial and ethnic minorities in cancer treatment. Learn from Dr. Yan Asmann, Associate Professor of Biomedical Informatics at Mayo College of Medicine, as she discusses the challenges of tumor mutational burden (TMB) assessment in African ancestry patients and the quality issues in cancer sequencing data. Discover how the underrepresentation of minority groups in public variant databases affects germline variant removal and leads to TMB overestimation, potentially impacting immune checkpoint inhibitor therapy decisions. Examine findings from The Cancer Genome Atlas (TCGA) project that reveal lower sequencing data quality for ancestrally African patients, affecting both germline variants and somatic mutation analysis. Understand the complex interplay between non-biological factors (socioeconomic, environmental, behavioral) and biological factors (genetic and genomic features) contributing to cancer disparities, and explore the critical need to address these data quality issues to improve cancer genomics outcomes for diverse populations.
