By training a classifier on bacterial artificial chromosome and oligonucleotide array comparative genomic hybridization (aCGH) data from BRCA1/2 germline mutation status-annotated breast cancer data sets, several studies have demonstrated the utility of genome-wide information in identifying HR-defective tumors, which they also linked to better platinum response rates [40-42]. The gene discussed is BRCA1; the disease is breast carcinoma.