Associated Papers
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
39779857 (PubMed )
Supplement: 41586_2024_8388_MOESM3_ESM.xlsx › Table_S4A
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
39085601 (PubMed )
Supplement: 439_2024_2691_MOESM2_ESM.xlsx › BRCA2
In silico and structure-based assessment to classify VUS identified in the α-helical domain of BRCA2.
Khan MA et al.
Journal of Biomolecular Structure & Dynamics, 2023
The pathogenic role of the BRCA2 c.7847C>T (p.Ser2616Phe) variant in breast and ovarian cancer predisposition.
Yamazawa K et al.
Cancer Science, 2023
37067535 (PubMed )
Supplement: CAS-114-2993-s001.pdf
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
Clinicopathological Characterization of Double Heterozygosity for BRCA1 and BRCA2 Variants in Korean Breast Cancer Patients.
Bang YJ et al.
Cancer Research and Treatment, 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
35665744 (PubMed )
Supplement: 41525_2022_302_MOESM3_ESM.xlsx › BRCA2_inSilico_PCs___AGVGD
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
High-throughput functional evaluation of BRCA2 variants of unknown significance.
Ikegami M et al.
Nature Communications, 2020
32444794 (PubMed )
Supplement: 41467_2020_16141_MOESM4_ESM.xlsx › Information_of_107_variants
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
Mutation analysis of BRCA1 and BRCA2 from 793 Korean patients with sporadic breast cancer.
Han SH et al.
Clinical Genetics, 2006
Identification of BRCA1 and BRCA2 mutations from Korean breast cancer patients using denaturing HPLC.
Kim BY et al.
Biochemical and Biophysical Research Communications, 2006
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