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
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
36385461 (PubMed )
Supplement: IJC-152-1159-s002.xlsx › BRCA2
Analysis of matched primary and recurrent BRCA1/2 mutation-associated tumors identifies recurrence-specific drivers.
Shah JB et al.
Nature Communications, 2022
36344544 (PubMed )
Supplement: 41467_2022_34523_MOESM10_ESM.xlsx › Som_BRCA12_Mutations_Targeted
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
Breast cancer risks associated with missense variants in breast cancer susceptibility genes.
Dorling L et al.
Genome Medicine, 2022
35585550 (PubMed )
Supplement: 13073_2022_1052_MOESM2_ESM.xlsx › Table_S16
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
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
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
A simple method for co-segregation analysis to evaluate the pathogenicity of unclassified variants; BRCA1 and BRCA2 as an example.
Mohammadi L et al.
Bmc Cancer, 2009
Select a paper to view details