Associated Papers
Functional characterization of BRCA1 variants of unknown significance using homologous recombination repair assays.
Martín-Bejarano P et al.
Breast Cancer Research : Bcr, 2025
Robust Assessment of Homologous Recombination Deficiency Genomic Instability by OncoScan Microarrays.
Lara Gutierrez A et al.
The Journal of Molecular Diagnostics : Jmd, 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
The role of RAD51 regulators and variants in primary ovarian insufficiency, endometriosis, and polycystic ovary syndrome.
Witham M et al.
Nar Molecular Medicine, 2024
Using Portuguese BRCA pathogenic variation as a model to study the impact of human admixture on human health.
Andaluz S et al.
Bmc Genomics, 2024
The evolutionary impact of childhood cancer on the human gene pool.
Stoltze UK et al.
Nature Communications, 2024
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
A Comprehensive Evaluation of the Performance of Prediction Algorithms on Clinically Relevant Missense Variants.
Qorri E et al.
International Journal of Molecular Sciences, 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
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.
Reza MN et al.
Scientific Reports, 2021
The Genetic Analyses of French Canadians of Quebec Facilitate the Characterization of New Cancer Predisposing Genes Implicated in Hereditary Breast and/or Ovarian Cancer Syndrome Families.
Fierheller CT et al.
Cancers, 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
Chemogenomic profiling of breast cancer patient-derived xenografts reveals targetable vulnerabilities for difficult-to-treat tumors.
Savage P et al.
Communications Biology, 2020
Mastermind: A Comprehensive Genomic Association Search Engine for Empirical Evidence Curation and Genetic Variant Interpretation.
Chunn LM et al.
Frontiers in Genetics, 2020
Predicting the Disease Risk of Protein Mutation Sequences With Pre-training Model.
Li K et al.
Frontiers in Genetics, 2020
TAPES: A tool for assessment and prioritisation in exome studies.
Xavier A et al.
Plos Computational Biology, 2019
REVEL and BayesDel outperform other in silico meta-predictors for clinical variant classification.
Tian Y et al.
Scientific Reports, 2019
Germline variation in BRCA1/2 is highly ethnic-specific: Evidence from over 30,000 Chinese hereditary breast and ovarian cancer patients.
Bhaskaran SP et al.
International Journal of Cancer, 2019
CharGer: clinical Characterization of Germline variants.
Scott AD et al.
Bioinformatics (oxford, England), 2019
Germline Pathogenic Variants in Homologous Recombination and DNA Repair Genes in an Asian Cohort of Young-Onset Colorectal Cancer.
Toh MR et al.
Jnci Cancer Spectrum, 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
Functional and mutational landscapes of BRCA1 for homology-directed repair and therapy resistance.
Anantha RW et al.
Elife, 2017
Patterns and functional implications of rare germline variants across 12 cancer types.
Lu C et al.
Nature Communications, 2015
Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations.
Martelotto LG et al.
Genome Biology, 2014
Pathogenicity evaluation of BRCA1 and BRCA2 unclassified variants identified in Portuguese breast/ovarian cancer families.
Santos C et al.
The Journal of Molecular Diagnostics : Jmd, 2014
Clinical characteristics of ovarian cancer classified by BRCA1, BRCA2, and RAD51C status.
Cunningham JM et al.
Scientific Reports, 2014
Integrated analysis of germline and somatic variants in ovarian cancer.
Kanchi KL et al.
Nature Communications, 2014
A high-throughput functional complementation assay for classification of BRCA1 missense variants.
Bouwman P et al.
Cancer Discovery, 2013
A guide for functional analysis of BRCA1 variants of uncertain significance.
Millot GA et al.
Human Mutation, 2012
A review of a multifactorial probability-based model for classification of BRCA1 and BRCA2 variants of uncertain significance (VUS).
Lindor NM et al.
Human Mutation, 2012
Classification of missense variants of unknown significance in BRCA1 based on clinical and tumor information.
Osorio A et al.
Human Mutation, 2007