Associated Papers
Reinterpretation of Conflicting ClinVar BRCA1 Missense Variants Using VarSome and CanVIG-UK Gene-Specific Guidance.
So MK et al.
Diagnostics (basel, Switzerland), 2024
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
The Molecular Detection of Germline Mutations in the BRCA1 and BRCA2 Genes Associated with Breast and Ovarian Cancer in a Romanian Cohort of 616 Patients.
Grigore LG et al.
Current Issues in Molecular Biology, 2024
MARGINAL: An Automatic Classification of Variants in BRCA1 and BRCA2 Genes Using a Machine Learning Model.
Karalidou V et al.
Biomolecules, 2022
Germline landscape of BRCAs by 7-site collaborations as a BRCA consortium in Turkey.
Bisgin A et al.
Breast (edinburgh, Scotland), 2022
Benchmarking of SpCas9 variants enables deeper base editor screens of BRCA1 and BCL2.
Sangree AK et al.
Nature Communications, 2022
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.
Reza MN et al.
Scientific Reports, 2021
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
Identification of pathogenic variants in cancer genes using base editing screens with editing efficiency correction.
Huang C et al.
Genome Biology, 2021
Prevalence and Spectrum of BRCA Germline Variants in Central Italian High Risk or Familial Breast/Ovarian Cancer Patients: A Monocentric Study.
Foglietta J et al.
Genes, 2020
Systematic misclassification of missense variants in BRCA1 and BRCA2 "coldspots".
Dines JN et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2020
REVEL and BayesDel outperform other in silico meta-predictors for clinical variant classification.
Tian Y et al.
Scientific Reports, 2019
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
The molecular analysis of BRCA1 and BRCA2: Next-generation sequencing supersedes conventional approaches.
D'Argenio V et al.
Clinica Chimica Acta; International Journal of Clinical Chemistry, 2015
Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations.
Martelotto LG et al.
Genome Biology, 2014
Hereditary breast and ovarian cancer: assessment of point mutations and copy number variations in Brazilian patients.
Silva FC et al.
Bmc Medical Genetics, 2014