A knowledge-based framework for the discovery of cancer-predisposing variants using large-scale sequencing breast cancer data.

In this study, we demonstrate the usefulness of a genomic-driven approach nested in a classic case-control study to prioritize cancer-predisposing variants. In addition, we provide a resource containing variants that may affect susceptibility to breast cancer.