DAC

Peter MacCallum Cancer Centre Research Data Access Committee

Dac ID Contact Person Email Access Information
EGAC00001001505 Maria Macheda dac [at] petermac [dot] org No additional information is available

This DAC controls 2 datasets:

Dataset ID Description Technology Samples
EGAD00001006030 Germline exome sequencing data (paired Fastq files) from 516 BRCA1/2-negative women affected with familial high-grade serous (or similar) ovarian carcinoma, as analysed and described in Subramanian et al (Nature Communications, 2020). Illumina HiSeq 2500 516
EGAD00001007025 The BEACCON study aimed to address the lack of power of previous studies to identify novel BC predisposition genes by performing extensive sequencing in 12,000 women (11,511 analysed following exclusions) and further enhancing power by using an ‘extreme phenotype’ design with enrichment of familial non-BRCA1 and BRCA2 cases, compared with a control population of older women with ongoing confirmation of cancer-free status at June 2019. Three-quarters of the 1303 candidate genes screened were selected based on empiric evidence from local (69 multi-case BC families) or international whole exome sequencing studies, and the remainder were included to provide detailed coverage of functional pathways with established associations with BC. Illumina HiSeq 2000,Illumina HiSeq 2500,Illumina MiSeq 11505