BRCA2, ATM, and CDK12 defects differentially shape prostate tumor driver genomics and clinical aggression

1 Dataset 1 Publication

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001006733	This dataset contains all available targeted exon sequencing bam files from our study, "BRCA2, ATM, and CDK12 defects differentially shape prostate tumor driver genomics and clinical aggression". Patient identifiers are denoted by the first segment of the sample aliases (e.g. "P1"), and additional information is appended to reflect which sample is referenced. These include serial cfDNA samples ("-1", "-2", "-3", etc.), paired white blood cell or benign tissue control samples ("-Control"), or primary archival tissue samples derived from a diagnostic biopsy, prostatectomy, or transurethral resection of the prostate ("-Tissue"). All samples were sequenced using Illumina technology.	Illumina HiSeq 2500	368

Publications	Citations
A generalizable machine learning framework for classifying DNA repair defects using ctDNA exomes. Ritch EJ, Herberts C, Warner EW, Ng SWS, Kwan EM, Bacon JVW, Bernales CQ, Schönlau E, Fonseca NM, Giri VN, Maurice-Dror C, Vandekerkhove G, Jones SJM, Chi KN, Wyatt AW. NPJ Precis Oncol 7: 2023 27	4