Associated Papers
Profiling BRCA1-BRCT interactions and their functional relevance at amino acid resolution.
Mangkusaputra V et al.
Nucleic Acids Research, 2025
40966517 (PubMed )
Supplement: gkaf848_supplemental_files.zip › Sup_table_2___ABX_CtIP_complete_count_and_scores.xlsx › BRCT2_ABX
Impact of germline variants on breast and ovarian cancer risk in Japanese women: an original cohort study and meta-analysis.
Yazaki S et al.
Ebiomedicine, 2025
40403695 (PubMed )
Supplement: mmc1.xlsx › Table_S6
ACMG/AMP interpretation of BRCA1 missense variants: Structure-informed scores add evidence strength granularity to the PP3/BP4 computational evidence.
Ramadane-Morchadi L et al.
American Journal of Human Genetics, 2025
40233743 (PubMed )
Supplement: mmc2.xlsx › Hoja1
Using multiplexed functional data to reduce variant classification inequities in underrepresented populations.
Dawood M et al.
Genome Medicine, 2024
39627863 (PubMed )
Supplement: 13073_2024_1392_MOESM1_ESM.xlsx › Table_S19
Protein-folding chaperones predict structure-function relationships and cancer risk in BRCA1 mutation carriers.
Gracia B et al.
Cell Reports, 2024
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-s005.xlsx › Japanese
Expansion of Cancer Risk Profile for BRCA1 and BRCA2 Pathogenic Variants.
Momozawa Y et al.
Jama Oncology, 2022
35420638 (PubMed )
Supplement: jamaoncol-e220476-s001.pdf
Systematic misclassification of missense variants in BRCA1 and BRCA2 "coldspots".
Dines JN et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2020
31911673 (PubMed )
Supplement: 41436_2019_740_MOESM2_ESM.xlsx › 1._Used_in_analysis
Combining Homologous Recombination and Phosphopeptide-binding Data to Predict the Impact of BRCA1 BRCT Variants on Cancer Risk.
Petitalot A et al.
Molecular Cancer Research : Mcr, 2019
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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