Associated Papers
Synonymous and non-synonymous variants at splice junctions can disrupt splicing and are frequently linked to disease associated loss of function genes.
Srinivasan S et al.
Bmc Genomics, 2025
Saturation genome editing-based clinical classification of BRCA2 variants.
Sahu S et al.
Nature, 2025
Functional evaluation and clinical classification of BRCA2 variants.
Huang H et al.
Nature, 2025
Population-based BRCA germline mutation screening in the Han Chinese identifies individuals at risk of BRCA mutation-related cancer: experience from a clinical diagnostic center from greater Shanghai area.
Wu Z et al.
Bmc Cancer, 2024
BRCA-associated hereditary male cancers: can gender affect the prevalence and spectrum of germline pathogenic variants?
Fanale D et al.
Frontiers in Oncology, 2024
Deleterious and ethnic-related BRCA1/2 mutations in tissue and blood of Egyptian colorectal cancer patients and its correlation with human papillomavirus.
Youssef ASE et al.
Clinical and Experimental Medicine, 2023
SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion.
Canson DM et al.
Bioinformatics (oxford, England), 2023
Ethnic-specificity, evolution origin and deleteriousness of Asian BRCA variation revealed by over 7500 BRCA variants derived from Asian population.
Qin Z et al.
International Journal of Cancer, 2023
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
Multi-gene panel testing and association analysis in Cypriot breast cancer cases and controls.
Zanti M et al.
Frontiers in Genetics, 2023
Classification of BRCA2 Variants of Uncertain Significance (VUS) Using an ACMG/AMP Model Incorporating a Homology-Directed Repair (HDR) Functional Assay.
Hu C et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research, 2022
An integrative model for the comprehensive classification of BRCA1 and BRCA2 variants of uncertain clinical significance.
Iversen ES et al.
Npj Genomic Medicine, 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
Strong functional data for pathogenicity or neutrality classify BRCA2 DNA-binding-domain variants of uncertain significance.
Richardson ME et al.
American Journal of Human Genetics, 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
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
Incorporation of semi-quantitative analysis of splicing alterations for the clinical interpretation of variants in BRCA1 and BRCA2 genes.
Montalban G et al.
Human Mutation, 2019
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
A plugin for the Ensembl Variant Effect Predictor that uses MaxEntScan to predict variant spliceogenicity.
Shamsani J et al.
Bioinformatics (oxford, England), 2019
Insights into BRCA Cancer Predisposition from Integrated Germline and Somatic Analyses in 7632 Cancers.
Yost S et al.
Jnci Cancer Spectrum, 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
Comprehensive annotation of BRCA1 and BRCA2 missense variants by functionally validated sequence-based computational prediction models.
Hart SN et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2019
Corrigendum: Novel diagnostic tool for prediction of variant spliceogenicity derived from a set of 395 combined in silico/in vitro studies: an international collaborative effort.
Leman R et al.
Nucleic Acids Research, 2018
Novel diagnostic tool for prediction of variant spliceogenicity derived from a set of 395 combined in silico/in vitro studies: an international collaborative effort.
Leman R et al.
Nucleic Acids Research, 2018
Assessment of the Clinical Relevance of BRCA2 Missense Variants by Functional and Computational Approaches.
Guidugli L et al.
American Journal of Human Genetics, 2018
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
Computational Tools for Splicing Defect Prediction in Breast/Ovarian Cancer Genes: How Efficient Are They at Predicting RNA Alterations?
Moles-Fernández A et al.
Frontiers in Genetics, 2018
Identification of a Novel BRCA1 Pathogenic Mutation in Korean Patients Following Reclassification of BRCA1 and BRCA2 Variants According to the ACMG Standards and Guidelines Using Relevant Ethnic Controls.
Park JS et al.
Cancer Research and Treatment, 2017
Characterization of BRCA1 and BRCA2 variants found in a Norwegian breast or ovarian cancer cohort.
Jarhelle E et al.
Familial Cancer, 2017
In silico, in vitro and case-control analyses as an effective combination for analyzing BRCA1 and BRCA2 unclassified variants in a population-based sample.
Rodríguez-Balada M et al.
Cancer Genetics, 2016
Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations.
Martelotto LG et al.
Genome Biology, 2014
MutPred Splice: machine learning-based prediction of exonic variants that disrupt splicing.
Mort M et al.
Genome Biology, 2014
Interpretation of mRNA splicing mutations in genetic disease: review of the literature and guidelines for information-theoretical analysis.
Caminsky N et al.
F1000research, 2014
Comparative in vitro and in silico analyses of variants in splicing regions of BRCA1 and BRCA2 genes and characterization of novel pathogenic mutations.
Colombo M et al.
Plos One, 2013
Guidelines for splicing analysis in molecular diagnosis derived from a set of 327 combined in silico/in vitro studies on BRCA1 and BRCA2 variants.
Houdayer C et al.
Human Mutation, 2012
Comprehensive splicing functional analysis of DNA variants of the BRCA2 gene by hybrid minigenes.
Acedo A et al.
Breast Cancer Research : Bcr, 2012
Assessing the RNA effect of 26 DNA variants in the BRCA1 and BRCA2 genes.
Menéndez M et al.
Breast Cancer Research and Treatment, 2012
A one-step prescreening for point mutations and large rearrangement in BRCA1 and BRCA2 genes using quantitative polymerase chain reaction and high-resolution melting curve analysis.
Coulet F et al.
Genetic Testing and Molecular Biomarkers, 2010
Interlaboratory diagnostic validation of conformation-sensitive capillary electrophoresis for mutation scanning.
Mattocks CJ et al.
Clinical Chemistry, 2010
Impact of BRCA1 and BRCA2 variants on splicing: clues from an allelic imbalance study.
Caux-Moncoutier V et al.
European Journal of Human Genetics : Ejhg, 2009