Associated Papers
Profiling BRCA1-BRCT interactions and their functional relevance at amino acid resolution.
Mangkusaputra V et al.
Nucleic Acids Research, 2025
The Causal Pivot: A structural approach to genetic heterogeneity and variant discovery in complex diseases.
Shaw CA et al.
American Journal of Human Genetics, 2025
Mutational landscape of triple-negative breast cancer in African American women.
Yao S et al.
Nature Genetics, 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
VarMeter2: An enhanced structure-based method for predicting pathogenic missense variants through Mahalanobis distance.
Ohno S et al.
Computational and Structural Biotechnology Journal, 2025
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
Protein-folding chaperones predict structure-function relationships and cancer risk in BRCA1 mutation carriers.
Gracia B et al.
Cell Reports, 2024
Exploration of BRCA1 and BRCA2 mutations in gastric cancer patients through next generation sequencing: implications for diagnosis and therapy.
Ahmed I et al.
American Journal of Translational Research, 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
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
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
A Comprehensive Evaluation of the Performance of Prediction Algorithms on Clinically Relevant Missense Variants.
Qorri E et al.
International Journal of Molecular Sciences, 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
Comprehensive evaluation of BRCA1/2 variant interpretation ability among laboratories in China.
Shao K et al.
Journal of Medical Genetics, 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
Value of the loss of heterozygosity to BRCA1 variant classification.
Santana Dos Santos E et al.
Npj Breast Cancer, 2022
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
The Frequency of Discordant Variant Classification in the Human Gene Mutation Database: A Comparison of the American College of Medical Genetics and Genomics Guidelines and ClinVar.
Park KJ et al.
Laboratory Medicine, 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
Classification of VUS and unclassified variants in BRCA1 BRCT repeats by molecular dynamics simulation.
Sinha S et al.
Computational and Structural Biotechnology Journal, 2020
REVEL and BayesDel outperform other in silico meta-predictors for clinical variant classification.
Tian Y et al.
Scientific Reports, 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
A new bioinformatics tool to help assess the significance of BRCA1 variants.
Cusin I et al.
Human Genomics, 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
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
Yeast cells reveal the misfolding and the cellular mislocalization of the human BRCA1 protein.
Thouvenot P et al.
Journal of Cell Science, 2016
Functional Assessment of Genetic Variants with Outcomes Adapted to Clinical Decision-Making.
Thouvenot P et al.
Plos Genetics, 2016