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
Performance of a RAD51-based functional HRD test on paraffin-embedded breast cancer tissue.
van Wijk LM et al.
Breast Cancer Research and Treatment, 2023
37725154 (PubMed )
Supplement: 10549_2023_7102_MOESM1_ESM.pdf
SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion.
Canson DM et al.
Bioinformatics (oxford, England), 2023
37021934 (PubMed )
Supplement: btad179_supplementary_data.zip › SAI10kcalc_supp_tables_final.xlsx › S1.variants
APPLICATION OF THE ACMG/AMP FRAMEWORK TO CAPTURE EVIDENCE RELEVANT TO PREDICTED AND OBSERVED IMPACT ON SPLICING: RECOMMENDATIONS FROM THE CLINGEN SVI SPLICING SUBGROUP.
Walker LC et al.
Medrxiv : the Preprint Server for Health Sciences, 2023
36865205 (PubMed )
Supplement: media-10.xlsx › Table_S2
Clinical, splicing, and functional analysis to classify BRCA2 exon 3 variants: Application of a points-based ACMG/AMP approach.
Thomassen M et al.
Human Mutation, 2022
35979650 (PubMed )
Supplement: HUMU-43-1921-s002.XLSX › Supp_T3
The Genetic Analyses of French Canadians of Quebec Facilitate the Characterization of New Cancer Predisposing Genes Implicated in Hereditary Breast and/or Ovarian Cancer Syndrome Families.
Fierheller CT et al.
Cancers, 2021
34298626 (PubMed )
Supplement: cancers-13-03406-s001.zip › cancers-1247507-supplementary › Supplementary_Tables_V12_18062021_REFs.xlsx › Supp_Table_2
Prevalence of germline pathogenic variants in 22 cancer susceptibility genes in Swedish pediatric cancer patients.
von Stedingk K et al.
Scientific Reports, 2021
33674644 (PubMed )
Supplement: 41598_2021_84502_MOESM2_ESM.xlsx › S10_All_Variants
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 plugin for the Ensembl Variant Effect Predictor that uses MaxEntScan to predict variant spliceogenicity.
Shamsani J et al.
Bioinformatics (oxford, England), 2019
30475984 (PubMed )
Supplement: bty960_supplementary_data.zip › bty960-Suppl_data › Supplementary_Table_S1.xlsx › Sheet1
Insights into BRCA Cancer Predisposition from Integrated Germline and Somatic Analyses in 7632 Cancers.
Yost S et al.
Jnci Cancer Spectrum, 2019
31360904 (PubMed )
Supplement: supplementary_table_pkz028.zip › 20181104_Supplementary_Tables.xlsx › Supplementary_Table_2
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 bioinformatic pipeline for NGS data analysis and mutation calling in human solid tumors].
Tsukanov KY et al.
Biomeditsinskaia Khimiia, 2017
Characterization of BRCA1 and BRCA2 variants found in a Norwegian breast or ovarian cancer cohort.
Jarhelle E et al.
Familial Cancer, 2017
Prioritizing Variants in Complete Hereditary Breast and Ovarian Cancer Genes in Patients Lacking Known BRCA Mutations.
Caminsky NG et al.
Human Mutation, 2016
BRCA2 is a moderate penetrance gene contributing to young-onset prostate cancer: implications for genetic testing in prostate cancer patients.
Kote-Jarai Z et al.
British Journal of Cancer, 2011
21952622 (PubMed )
Supplement: bjc2011383x1.xls › Sheet1
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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