Associated Papers
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.
Ahmad RM et al.
Briefings in Bioinformatics, 2025
Profiling BRCA1-BRCT interactions and their functional relevance at amino acid resolution.
Mangkusaputra V et al.
Nucleic Acids Research, 2025
Germline Testing in Breast Cancer: A Single-Center Analysis Comparing Strengths and Challenges of Different Approaches.
Marabelli M et al.
Cancers, 2025
Reinterpretation of Conflicting ClinVar BRCA1 Missense Variants Using VarSome and CanVIG-UK Gene-Specific Guidance.
So MK et al.
Diagnostics (basel, Switzerland), 2024
Scalable approaches for generating, validating and incorporating data from high-throughput functional assays to improve clinical variant classification.
Padigepati SR et al.
Human Genetics, 2024
Inter-BRCT linker is probably the most intolerant region of the BRCA1 BRCT domain.
Yadegari F et al.
Journal of Biomolecular Structure & Dynamics, 2024
Protein-folding chaperones predict structure-function relationships and cancer risk in BRCA1 mutation carriers.
Gracia B et al.
Cell Reports, 2024
BRCA1 frameshift variants leading to extended incorrect protein C termini.
Nepomuceno TC et al.
Hgg Advances, 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
Assessment of small in-frame indels and C-terminal nonsense variants of BRCA1 using a validated functional assay.
Nepomuceno TC et al.
Scientific Reports, 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
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.
Reza MN et al.
Scientific Reports, 2021
Study of the Genetic Variants in BRCA1/2 and Non-BRCA Genes in a Population-Based Cohort of 2155 Breast/Ovary Cancer Patients, Including 443 Triple-Negative Breast Cancer Patients, in Argentina.
Solano AR et al.
Cancers, 2021
Targeted Therapy of Papillary Thyroid Cancer: A Comprehensive Genomic Analysis.
Hescheler DA et al.
Frontiers in Endocrinology, 2021
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
In silico analysis for determining the deleterious nonsynonymous single nucleotide polymorphisms of BRCA genes.
Yadegari F et al.
Molecular Biology Research Communications, 2019
Combining Homologous Recombination and Phosphopeptide-binding Data to Predict the Impact of BRCA1 BRCT Variants on Cancer Risk.
Petitalot A et al.
Molecular Cancer Research : Mcr, 2019
Functional assays provide a robust tool for the clinical annotation of genetic variants of uncertain significance.
Woods NT et al.
Npj Genomic Medicine, 2016
Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations.
Martelotto LG et al.
Genome Biology, 2014
Probing structure-function relationships in missense variants in the carboxy-terminal region of BRCA1.
Carvalho RS et al.
Plos One, 2014
Comprehensive analysis of missense variations in the BRCT domain of BRCA1 by structural and functional assays.
Lee MS et al.
Cancer Research, 2010
Cross-sectional analysis of germline BRCA1 and BRCA2 mutations in Japanese patients suspected to have hereditary breast/ovarian cancer.
Sugano K et al.
Cancer Science, 2008
The BRCT domain of mammalian Pes1 is crucial for nucleolar localization and rRNA processing.
Hölzel M et al.
Nucleic Acids Research, 2007
Structure-based assessment of missense mutations in human BRCA1: implications for breast and ovarian cancer predisposition.
Mirkovic N et al.
Cancer Research, 2004
Functional assay for BRCA1: mutagenesis of the COOH-terminal region reveals critical residues for transcription activation.
Hayes F et al.
Cancer Research, 2000