This observed discrepancy is not a technical artifact but the direct result of a fundamental conceptual mismatch between the two data sources. gnomAD catalogues the population-level frequencies of inherited germline variants, whereas the TCGA dataset is profoundly enriched for somatic mutations that are causally implicated in oncogenesis. Consequently, there is no a priori statistical or biological reason for these two distinct frequency distributions to show any correlation. The standard protocol involves using gnomAD as an annotation filter to remove common germline polymorphisms from TCGA data, which serves to isolate the rare and potentially pathogenic somatic events for downstream analysis.