While the TCGA was primarily envisioned as a somatically oriented database, we utilized both germline and somatic information to reveal how the data can be used to shed light on risk alleles discovered through GWAS. Our analyses highlight the power and promise of using publicly available datasets to derive biologic insights in unanticipated ways.
