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
All exons are not created equal-exon vulnerability determines the effect of exonic mutations on splicing.
Holm LL et al.
Nucleic Acids Research, 2024
38324470 (PubMed )
Supplement: gkae077_supplemental_files.zip › supplementary_tables.xlsx › Supplementary_table_S1_-_ESM_DB
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
Germline variants of uncertain significance, their frequency, and clinico-pathological features in a cohort of Sri Lankan patients with hereditary breast cancer.
Gunawardena K et al.
Bmc Research Notes, 2023
Variant curation and interpretation in hereditary cancer genes: An institutional experience in Latin America.
Manotas MC et al.
Molecular Genetics & Genomic Medicine, 2023
36905130 (PubMed )
Supplement: MGG3-11-e2141-s004.xlsx › CI_Variants-Manual_Curation_
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
Clinicopathological and molecular analysis of microsatellite instability in prostate cancer: a multi-institutional study in China.
Zhang H et al.
Frontiers in Oncology, 2023
Circulating Tumor DNA: Less Invasive, More Representative Method to Unveil the Genomic Landscape of Newly Diagnosed Multiple Myeloma Than Bone Marrow Aspirates.
Liu Y et al.
Cancers, 2022
36230837 (PubMed )
Supplement: cancers-14-04914-s001.zip › cancers-1924136-supplementary.xlsx › Supplemental_Table_4
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_S3
Detection of germline variants in Brazilian breast cancer patients using multigene panel testing.
Guindalini RSC et al.
Scientific Reports, 2022
35264596 (PubMed )
Supplement: 41598_2022_7383_MOESM3_ESM.xlsx › Planilha1
DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data.
Liu J et al.
Genome Medicine, 2022
35209950 (PubMed )
Supplement: 13073_2022_1027_MOESM22_ESM.xls › Sheet1
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
Role of Splicing Regulatory Elements and In Silico Tools Usage in the Identification of Deep Intronic Splicing Variants in Hereditary Breast/Ovarian Cancer Genes.
Moles-Fernández A et al.
Cancers, 2021
34283047 (PubMed )
Supplement: cancers-13-03341-s001.zip › 2_Supplementary_table_S2A_2B.xlsx › Suppl_Table_2A
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_MOESM4_ESM.xlsx › Sheet1
Classification of variants of uncertain significance in BRCA1 and BRCA2 using personal and family history of cancer from individuals in a large hereditary cancer multigene panel testing cohort.
Li H et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2020
31853058 (PubMed )
Supplement: 41436_2019_729_MOESM3_ESM.xls › 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 › Sheet5
Diagnostic mRNA splicing assay for variants in BRCA1 and BRCA2 identified two novel pathogenic splicing aberrations.
Wangensteen T et al.
Hereditary Cancer in Clinical Practice, 2019
Unexpected cancer-predisposition gene variants in Cowden syndrome and Bannayan-Riley-Ruvalcaba syndrome patients without underlying germline PTEN mutations.
Yehia L et al.
Plos Genetics, 2018
29684080 (PubMed )
Supplement: pgen.1007352.s008.xlsx › S7_Table
MutPred Splice: machine learning-based prediction of exonic variants that disrupt splicing.
Mort M et al.
Genome Biology, 2014
24451234 (PubMed )
Supplement: gb-2014-15-1-r19-S1.pdf
Functional analysis of a large set of BRCA2 exon 7 variants highlights the predictive value of hexamer scores in detecting alterations of exonic splicing regulatory elements.
Di Giacomo D et al.
Human Mutation, 2013
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
A prospective study on predictive factors linked to the presence of BRCA1 and BRCA2 mutations in breast cancer patients.
Wárlám-Rodenhuis CC et al.
European Journal of Cancer (oxford, England : 1990), 2005
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