Associated Papers
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.
Ahmad RM et al.
Briefings in Bioinformatics, 2025
Characterization and functional analysis of BRCA1 and BRCA2 variants in a cohort of 100 unselected patients undergoing germline screening.
Shi Q et al.
Translational Oncology, 2025
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
Unrecognised actionability for breast cancer risk variants identified in a national-level review of Australian familial cancer centres.
Fortuno C et al.
European Journal of Human Genetics : Ejhg, 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
Rare germline variants in PALB2 and BRCA2 in familial and sporadic chordoma.
Xia B et al.
Human Mutation, 2022
Classification of BRCA2 Variants of Uncertain Significance (VUS) Using an ACMG/AMP Model Incorporating a Homology-Directed Repair (HDR) Functional Assay.
Hu C et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research, 2022
Array genotyping as diagnostic approach in medical genetics.
Witsch-Baumgartner M et al.
Molecular Genetics & Genomic Medicine, 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
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
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
Minigene Splicing Assays Identify 12 Spliceogenic Variants of BRCA2 Exons 14 and 15.
Fraile-Bethencourt E et al.
Frontiers in Genetics, 2019
Prevalence of pathogenic/likely pathogenic variants in the 24 cancer genes of the ACMG Secondary Findings v2.0 list in a large cancer cohort and ethnicity-matched controls.
Kim J et al.
Genome Medicine, 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
Comparison of locus-specific databases for BRCA1 and BRCA2 variants reveals disparity in variant classification within and among databases.
Vail PJ et al.
Journal of Community Genetics, 2015
Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations.
Martelotto LG et al.
Genome Biology, 2014
Frequent germline deleterious mutations in DNA repair genes in familial prostate cancer cases are associated with advanced disease.
Leongamornlert D et al.
British Journal of Cancer, 2014
Clinical characteristics of ovarian cancer classified by BRCA1, BRCA2, and RAD51C status.
Cunningham JM et al.
Scientific Reports, 2014
Classifying Variants of Undetermined Significance in BRCA2 with protein likelihood ratios.
Karchin R et al.
Cancer Informatics, 2008
Diagnostic criteria for testing for BRCA1 and BRCA2: the experience of the Department of Defense Familial Breast/Ovarian Cancer Research Project.
Fries MH et al.
Military Medicine, 2002