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
The Potential of Genetics in Identifying Women at Lower Risk of Breast Cancer.
Bolze A et al.
Jama Oncology, 2024
38153744 (PubMed )
Supplement: jamaoncol-e235468-s002.xlsx › eTable_4
Multi-gene panel testing and association analysis in Cypriot breast cancer cases and controls.
Zanti M et al.
Frontiers in Genetics, 2023
37790698 (PubMed )
Supplement: DataSheet1.xlsx › Table_S2
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
Spectrum of Germline Pathogenic Variants in BRCA1/2 Genes in the Apulian Southern Italy Population: Geographic Distribution and Evidence for Targeted Genetic Testing.
Patruno M et al.
Cancers, 2021
34572941 (PubMed )
Supplement: cancers-13-04714-s001.zip › cancers-1331888-supplementary.pdf
Prevalence and Spectrum of Germline BRCA1 and BRCA2 Variants of Uncertain Significance in Breast/Ovarian Cancer: Mysterious Signals From the Genome.
Fanale D et al.
Frontiers in Oncology, 2021
Clinical characteristics and prognostic implications of BRCA-associated tumors in males: a pan-tumor survey.
Sun P et al.
Bmc Cancer, 2020
33054725 (PubMed )
Supplement: 12885_2020_7481_MOESM3_ESM.xlsx › Sheet1
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
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
30212499 (PubMed )
Supplement: pone.0203553.s008.xlsx › Variants
Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations.
Martelotto LG et al.
Genome Biology, 2014
25348012 (PubMed )
Supplement: 13059_2014_484_MOESM2_ESM.xlsx › Additional_file_2
Evaluation of unclassified variants in the breast cancer susceptibility genes BRCA1 and BRCA2 using five methods: results from a population-based study of young breast cancer patients.
Lee E et al.
Breast Cancer Research : Bcr, 2008
18284688 (PubMed )
Supplement: bcr1865-S3.doc
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