Associated Papers
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.
Ahmad RM et al.
Briefings in Bioinformatics, 2025
A Tiered Approach to Exome Sequencing Analysis in Early-Onset Primary Ovarian Insufficiency.
McGlacken-Byrne SM et al.
The Journal of Clinical Endocrinology and Metabolism, 2025
A Comprehensive Guide to Achieving New York State Clinical Laboratory Evaluation Program Approval for Next-Generation Sequencing Assays.
Galbo PM et al.
The Journal of Molecular Diagnostics : Jmd, 2025
Functional evaluation and clinical classification of BRCA2 variants.
Huang H et al.
Nature, 2025
Mutations of BRCA1, BRCA2, and PALB2 Genes in Breast Tumor Tissue: Relationship with the Effectiveness of Neoadjuvant Chemotherapy and Disease Prognosis.
Tsyganov MM et al.
Genes, 2023
A Multicenter Study of Genotype Variation/Demographic Patterns in 2475 Individuals Including 1444 Cases With Breast Cancer in Turkey.
Boga I et al.
European Journal of Breast Health, 2023
BRCA2 Germline Mutations Identify Gastric Cancers Responsive to PARP Inhibitors.
Petrelli A et al.
Cancer Research, 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
Evaluation of AlphaFold structure-based protein stability prediction on missense variations in cancer.
Keskin Karakoyun H et al.
Frontiers in Genetics, 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
Computational Biology of BRCA2 in Male Breast Cancer, through Prediction of Probable nsSNPs, and Hit Identification.
Shinde SD et al.
Acs Omega, 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
Variomes: a high recall search engine to support the curation of genomic variants.
Pasche E et al.
Bioinformatics (oxford, England), 2022
Co-occurrence of thyroid and breast cancer is associated with an increased oncogenic SNP burden.
Bakos B et al.
Bmc Cancer, 2021
Cancer-causing BRCA2 missense mutations disrupt an intracellular protein assembly mechanism to disable genome maintenance.
Lee M et al.
Nucleic Acids Research, 2021
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
Genetic testing in Poland and Ukraine: should comprehensive germline testing of BRCA1 and BRCA2 be recommended for women with breast and ovarian cancer?
Nguyen-Dumont T et al.
Genetics Research, 2020
Consolidated BRCA1/2 Variant Interpretation by MH BRCA Correlates with Predicted PARP Inhibitor Efficacy Association by MH Guide.
Hirotsu Y et al.
International Journal of Molecular Sciences, 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
A model combining clinical and genomic factors to predict response to PD-1/PD-L1 blockade in advanced urothelial carcinoma.
Nassar AH et al.
British Journal of Cancer, 2020
Evaluation of the contribution of germline variants in BRCA1 and BRCA2 to uveal and cutaneous melanoma.
Johansson PA et al.
Melanoma Research, 2019
REVEL and BayesDel outperform other in silico meta-predictors for clinical variant classification.
Tian Y et al.
Scientific Reports, 2019
Analysis of the pathogenic variants of BRCA1 and BRCA2 using next-generation sequencing in women with familial breast cancer: a case-control study.
Zayas-Villanueva OA et al.
Bmc Cancer, 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
Data-adaptive multi-locus association testing in subjects with arbitrary genealogical relationships.
Gong G et al.
Statistical Applications in Genetics and Molecular Biology, 2019
Finding driver mutations in cancer: Elucidating the role of background mutational processes.
Brown AL et al.
Plos Computational Biology, 2019
Integrated Analysis of Germline and Tumor DNA Identifies New Candidate Genes Involved in Familial Colorectal Cancer.
Díaz-Gay M et al.
Cancers, 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
Genomic Profiling on an Unselected Solid Tumor Population Reveals a Highly Mutated Wnt/β-Catenin Pathway Associated with Oncogenic EGFR Mutations.
Jiang J et al.
Journal of Personalized Medicine, 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
Assessment of the Clinical Relevance of BRCA2 Missense Variants by Functional and Computational Approaches.
Guidugli L et al.
American Journal of Human Genetics, 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
Spectrum of genetic variants of BRCA1 and BRCA2 in a German single center study.
Meisel C et al.
Archives of Gynecology and Obstetrics, 2017