Associated Papers
Functional assessment of protein variants in structured domains by fluorescence cross-correlation spectroscopy.
Mateu-Regué À et al.
Scientific Reports, 2026
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.
Ahmad RM et al.
Briefings in Bioinformatics, 2025
ACMG/AMP interpretation of BRCA1 missense variants: Structure-informed scores add evidence strength granularity to the PP3/BP4 computational evidence.
Ramadane-Morchadi L et al.
American Journal of Human Genetics, 2025
Featuring BRCA1 and BRCA2 germline mutational landscape from Asturias (North Spain).
Pitiot AS et al.
Clinical Genetics, 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
DNA repair function scores for 2172 variants in the BRCA1 amino-terminus.
Diabate M et al.
Plos Genetics, 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
Benchmarking of SpCas9 variants enables deeper base editor screens of BRCA1 and BCL2.
Sangree AK et al.
Nature Communications, 2022
Quantifying prediction of pathogenicity for within-codon concordance (PM5) using 7541 functional classifications of BRCA1 and MSH2 missense variants.
Loong L et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2022
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.
Reza MN et al.
Scientific Reports, 2021
Towards a New, Endophenotype-Based Strategy for Pathogenicity Prediction in BRCA1 and BRCA2: In Silico Modeling of the Outcome of HDR/SGE Assays for Missense Variants.
Özkan S et al.
International Journal of Molecular Sciences, 2021
Clinical phenotypes combined with saturation genome editing identifying the pathogenicity of BRCA1 variants of uncertain significance in breast cancer.
Wan Q et al.
Familial Cancer, 2021
Functional Categorization of BRCA1 Variants of Uncertain Clinical Significance in Homologous Recombination Repair Complementation Assays.
Bouwman P et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research, 2020
Accurate classification of BRCA1 variants with saturation genome editing.
Findlay GM et al.
Nature, 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
Massively Parallel Functional Analysis of BRCA1 RING Domain Variants.
Starita LM et al.
Genetics, 2015
Genetic analysis of BRCA1 ubiquitin ligase activity and its relationship to breast cancer susceptibility.
Morris JR et al.
Human Molecular Genetics, 2006