Associated Papers
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.
Ahmad RM et al.
Briefings in Bioinformatics, 2025
Clinical implications of VUS reclassification in a single-centre series from application of ACMG/AMP classification rules specified for BRCA1/2.
Innella G et al.
Journal of Medical Genetics, 2024
Genomic analyses of germline and somatic variation in high-grade serous ovarian cancer.
Adamson AW et al.
Journal of Ovarian Research, 2023
Evaluation of AlphaFold structure-based protein stability prediction on missense variations in cancer.
Keskin Karakoyun H et al.
Frontiers in Genetics, 2023
Genetic analyses of DNA repair pathway associated genes implicate new candidate cancer predisposing genes in ancestrally defined ovarian cancer cases.
Alenezi WM et al.
Frontiers in Oncology, 2023
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
MARGINAL: An Automatic Classification of Variants in BRCA1 and BRCA2 Genes Using a Machine Learning Model.
Karalidou V et al.
Biomolecules, 2022
Breast cancer risks associated with missense variants in breast cancer susceptibility genes.
Dorling L et al.
Genome Medicine, 2022
Variomes: a high recall search engine to support the curation of genomic variants.
Pasche E et al.
Bioinformatics (oxford, England), 2022
Evaluation of a Four-Gene Panel for Hereditary Cancer Risk Assessment.
Secondino A et al.
Genes, 2022
Cancer-causing BRCA2 missense mutations disrupt an intracellular protein assembly mechanism to disable genome maintenance.
Lee M et al.
Nucleic Acids Research, 2021
Challenges of the current precision medicine approach for pancreatic cancer: A single institution experience between 2013 and 2017.
Ding D et al.
Cancer Letters, 2021
K3326X and Other C-Terminal BRCA2 Variants Implicated in Hereditary Cancer Syndromes: A Review.
Baughan S et al.
Cancers, 2021
Analysis of Sequence and Copy Number Variants in Canadian Patient Cohort With Familial Cancer Syndromes Using a Unique Next Generation Sequencing Based Approach.
Bhai P et al.
Frontiers in Genetics, 2021
High-throughput functional evaluation of BRCA2 variants of unknown significance.
Ikegami M et al.
Nature Communications, 2020
Spectrum of Germline BRCA1 and BRCA2 Variants Identified in 2351 Ovarian and Breast Cancer Patients Referring to a Reference Cancer Hospital of Rome.
Santonocito C et al.
Cancers, 2020
Characterization of tumor mutation burden, PD-L1 and DNA repair genes to assess relationship to immune checkpoint inhibitors response in metastatic renal cell carcinoma.
Labriola MK et al.
Journal for Immunotherapy of Cancer, 2020
REVEL and BayesDel outperform other in silico meta-predictors for clinical variant classification.
Tian Y et al.
Scientific Reports, 2019
Toward automation of germline variant curation in clinical cancer genetics.
Ravichandran V et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2019
Insights into BRCA Cancer Predisposition from Integrated Germline and Somatic Analyses in 7632 Cancers.
Yost S et al.
Jnci Cancer Spectrum, 2019
The functional impact of variants of uncertain significance in BRCA2.
Mesman RLS et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2019
Population and breast cancer patients' analysis reveals the diversity of genomic variation of the BRCA genes in the Mexican population.
Fernández-Lopez JC et al.
Human Genomics, 2019
Minigene Splicing Assays Identify 12 Spliceogenic Variants of BRCA2 Exons 14 and 15.
Fraile-Bethencourt E et al.
Frontiers in Genetics, 2019
The prognostic effects of somatic mutations in ER-positive breast cancer.
Griffith OL et al.
Nature Communications, 2018
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
Performance of in silico prediction tools for the classification of rare BRCA1/2 missense variants in clinical diagnostics.
Ernst C et al.
Bmc Medical Genomics, 2018
Germline mutations in candidate predisposition genes in individuals with cutaneous melanoma and at least two independent additional primary cancers.
Pritchard AL et al.
Plos One, 2018
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
Clinical laboratories collaborate to resolve differences in variant interpretations submitted to ClinVar.
Harrison SM et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2017
Evaluation of the Ion Torrent PGM sequencing workflow for the routine rapid detection of BRCA1 and BRCA2 germline mutations.
Zanella I et al.
Experimental and Molecular Pathology, 2017
Functional assays for analysis of variants of uncertain significance in BRCA2.
Guidugli L et al.
Human Mutation, 2014
Germline variation in cancer-susceptibility genes in a healthy, ancestrally diverse cohort: implications for individual genome sequencing.
Bodian DL et al.
Plos One, 2014
A review of a multifactorial probability-based model for classification of BRCA1 and BRCA2 variants of uncertain significance (VUS).
Lindor NM et al.
Human Mutation, 2012
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
Effect of the overexpression of BRCA2 unclassified missense variants on spontaneous homologous recombination in human cells.
Balia C et al.
Breast Cancer Research and Treatment, 2011
Genetic diagnosis of familial breast cancer using clonal sequencing.
Morgan JE et al.
Human Mutation, 2010
Germline Mutations in DNA Repair Genes in Patients With Metastatic Castration-resistant Prostate Cancer.
Holeckova K et al.
In Vivo (athens, Greece), 0