Associated Papers
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.
Ahmad RM et al.
Briefings in Bioinformatics, 2025
41263939 (PubMed )
Supplement: supplementary_materials_bbaf611_1_.zip › Supplementary_materials_bbaf611 › Supplementary_Table_S8.xlsx › Sheet1
Detection of Germline Mutations in a Cohort of 250 Relatives of Mutation Carriers in Multigene Panel: Impact of Pathogenic Variants in Other Genes beyond BRCA1/2.
Di Rado S et al.
Cancers, 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
Using species richness calculations to model the global profile of unsampled pathogenic variants: Examples from BRCA1 and BRCA2.
Rao ND et al.
Plos One, 2023
36753473 (PubMed )
Supplement: pone.0278010.s002.xlsx › Table_S1
Genetic Characterization of Hereditary Cancer Syndromes Based on Targeted Next-Generation Sequencing.
Ercoskun P et al.
Molecular Syndromology, 2022
Retrospective reinterpretation and reclassification of BRCA1/2 variants from Chinese population.
Li D et al.
Breast Cancer (tokyo, Japan), 2020
Germline variation in BRCA1/2 is highly ethnic-specific: Evidence from over 30,000 Chinese hereditary breast and ovarian cancer patients.
Bhaskaran SP et al.
International Journal of Cancer, 2019
30702160 (PubMed )
Supplement: IJC-145-962-s005.xlsx › dbBRCA2
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