Associated Papers
Unrecognised actionability for breast cancer risk variants identified in a national-level review of Australian familial cancer centres.
Fortuno C et al.
European Journal of Human Genetics : Ejhg, 2024
39402389 (PubMed )
Supplement: 41431_2024_1705_MOESM2_ESM.xlsx › BRCA2
Breast cancer risks associated with missense variants in breast cancer susceptibility genes.
Dorling L et al.
Genome Medicine, 2022
35585550 (PubMed )
Supplement: 13073_2022_1052_MOESM2_ESM.xlsx › Table_S16
Rates of Variants of Uncertain Significance Among Patients With Breast Cancer Undergoing Genetic Testing: Regional Perspectives.
Abdel-Razeq H et al.
Frontiers in Oncology, 2022
A Population-Based Analysis of BRCA1/2 Genes and Associated Breast and Ovarian Cancer Risk in Korean Patients: A Multicenter Cohort Study.
Park KS et al.
Cancers, 2021
34063308 (PubMed )
Supplement: cancers-13-02192-s001.zip › cancers-1174339-supplementary.xlsx › Table_S7
REVEL and BayesDel outperform other in silico meta-predictors for clinical variant classification.
Tian Y et al.
Scientific Reports, 2019
31484976 (PubMed )
Supplement: 41598_2019_49224_MOESM2_ESM.xlsx › Sheet1
Minigene Splicing Assays Identify 12 Spliceogenic Variants of BRCA2 Exons 14 and 15.
Fraile-Bethencourt E et al.
Frontiers in Genetics, 2019
31191615 (PubMed )
Supplement: Data_Sheet_1.PDF
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
30212499 (PubMed )
Supplement: pone.0203553.s008.xlsx › Variants
A high-throughput protocol for mutation scanning of the BRCA1 and BRCA2 genes.
Hondow HL et al.
Bmc Cancer, 2011
21702907 (PubMed )
Supplement: 1471-2407-11-265-S6.XLS › Sheet1
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