Associated Papers
Integrating evidence from protein domains to identify cancer driver mutations.
Ostroverkhova D et al.
Protein Science : a Publication of the Protein Society, 2026
Saturation genome editing-based clinical classification of BRCA2 variants.
Sahu S et al.
Nature, 2025
Functional evaluation and clinical classification of BRCA2 variants.
Huang H et al.
Nature, 2025
Functional evaluation of BRCA1/2 variants of unknown significance with homologous recombination assay and integrative in silico prediction model.
Guo Q et al.
Journal of Human Genetics, 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
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
Oncomine™ Comprehensive Assay v3 vs. Oncomine™ Comprehensive Assay Plus.
Vestergaard LK et al.
Cancers, 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
A computational model for classification of BRCA2 variants using mouse embryonic stem cell-based functional assays.
Biswas K et al.
Npj Genomic Medicine, 2020
Clinical characteristics and prognostic implications of BRCA-associated tumors in males: a pan-tumor survey.
Sun P et al.
Bmc Cancer, 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
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
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
Germline pathogenic variants of 11 breast cancer genes in 7,051 Japanese patients and 11,241 controls.
Momozawa Y et al.
Nature Communications, 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
Functional assays for analysis of variants of uncertain significance in BRCA2.
Guidugli L et al.
Human Mutation, 2014
A classification model for BRCA2 DNA binding domain missense variants based on homology-directed repair activity.
Guidugli L et al.
Cancer Research, 2013
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
Genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases.
Ryu GM et al.
Nucleic Acids Research, 2009
BRCA1 and BRCA2 mutation prevalence and clinical characteristics of a population-based series of ovarian cancer cases from Denmark.
Soegaard M et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research, 2008
Classifying Variants of Undetermined Significance in BRCA2 with protein likelihood ratios.
Karchin R et al.
Cancer Informatics, 2008