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
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-s010.xlsx › Asian_MNS_both
Systematic review of reported association studies of monogenic genes and bladder cancer risk and confirmation analysis in a large population cohort.
Mian A et al.
Bjui Compass, 2023
36816149 (PubMed )
Supplement: BCO2-4-156-s001.xlsx › sTable_1
Evaluation of AlphaFold structure-based protein stability prediction on missense variations in cancer.
Keskin Karakoyun H et al.
Frontiers in Genetics, 2023
36896237 (PubMed )
Supplement: Table1.xlsx › clinvar_breastcancer_allvariant
A Comprehensive Evaluation of the Performance of Prediction Algorithms on Clinically Relevant Missense Variants.
Qorri E et al.
International Journal of Molecular Sciences, 2022
35887294 (PubMed )
Supplement: ijms-23-07946-s001.zip › Supplementary_Table_S4.xlsx › BRCA2_Dataset
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_S3
Human BRCA pathogenic variants were originated during recent human history.
Li J et al.
Life Science Alliance, 2022
35165121 (PubMed )
Supplement: LSA-2021-01263_TableS2.xlsx › BRCA2
Analysis of single-nucleotide polymorphisms in genes associated with triple-negative breast cancer.
G V et al.
Frontiers in Genetics, 2022
36561320 (PubMed )
Supplement: Table3.xlsx › Sheet1
BRCA1 and BRCA2 Variation in Taiwanese General Population and the Cancer Cohort.
Chian J et al.
Frontiers in Molecular Biosciences, 2021
Exome sequencing and characterization of 49,960 individuals in the UK Biobank.
Van Hout CV et al.
Nature, 2020
33087929 (PubMed )
Supplement: 41586_2020_2853_MOESM11_ESM.xlsx › Sheet1
Characterization of the Cancer Spectrum in Men With Germline BRCA1 and BRCA2 Pathogenic Variants: Results From the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA).
Silvestri V et al.
Jama Oncology, 2020
Patient specific circulating tumor DNA fingerprints to monitor treatment response across multiple tumors.
Li J et al.
Journal of Translational Medicine, 2020
32738923 (PubMed )
Supplement: 12967_2020_2449_MOESM2_ESM.xlsx › Supplementary_Table_S1
The spectrum of BRCA1 and BRCA2 pathogenic sequence variants in Middle Eastern, North African, and South European countries.
Laitman Y et al.
Human Mutation, 2019
REVEL and BayesDel outperform other in silico meta-predictors for clinical variant classification.
Tian Y et al.
Scientific Reports, 2019
31484976 (PubMed )
Supplement: 41598_2019_49224_MOESM2_ESM.xlsx › Sheet1
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
Whole-genome sequencing reveals clinically relevant insights into the aetiology of familial breast cancers.
Nones K et al.
Annals of Oncology : Official Journal of the European Society for Medical Oncology, 2019
31090900 (PubMed )
Supplement: EMS83580-supplement-Supplementary_Data.zip › Suppl_Table1_Clinical_78_Final.xlsx › Sheet1
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
30212499 (PubMed )
Supplement: pone.0203553.s008.xlsx › Variants
Multiple gene sequencing for risk assessment in patients with early-onset or familial breast cancer.
Lin PH et al.
Oncotarget, 2016
Interpretation of mRNA splicing mutations in genetic disease: review of the literature and guidelines for information-theoretical analysis.
Caminsky N et al.
F1000research, 2014
25717368 (PubMed )
Supplement: f1000research-3-6038-s0000.tgz › e0d3facd-5877-477e-9217-8c5aa68746f2_Supplementary-Tables-11112014.zip › Supplementary-Tables-and-Figures-11112014 › Supplementary_Table_10._Splicing_Mutation_Calculator_Source_Datav2.xlsx › Supplementary_Table_10
Functional analysis of a large set of BRCA2 exon 7 variants highlights the predictive value of hexamer scores in detecting alterations of exonic splicing regulatory elements.
Di Giacomo D et al.
Human Mutation, 2013
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