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_S4C
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
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
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
33609447 (PubMed )
Supplement: mmc2.xlsx › Sheet1
High-throughput functional evaluation of BRCA2 variants of unknown significance.
Ikegami M et al.
Nature Communications, 2020
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
BRCA1 and BRCA2 germline variants in breast cancer patients from the Republic of Macedonia.
Jakimovska M et al.
Breast Cancer Research and Treatment, 2018
Clinical Next-Generation Sequencing Pipeline Outperforms a Combined Approach Using Sanger Sequencing and Multiplex Ligation-Dependent Probe Amplification in Targeted Gene Panel Analysis.
Schenkel LC et al.
The Journal of Molecular Diagnostics : Jmd, 2016
Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations.
Martelotto LG et al.
Genome Biology, 2014
25348012 (PubMed )
Supplement: 13059_2014_484_MOESM2_ESM.xlsx › Additional_file_2
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