Associated Papers
In Silico Prediction of BRCA1 and BRCA2 Variants with Conflicting Clinical Interpretation in a Cohort of Breast Cancer Patients.
Stella S et al.
Genes, 2024
Targeted next-generation sequencing of 21 candidate genes in hereditary ovarian cancer patients from the Republic of Bashkortostan.
Prokofyeva DS et al.
Journal of Ovarian Research, 2023
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
DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data.
Liu J et al.
Genome Medicine, 2022
35209950 (PubMed )
Supplement: 13073_2022_1027_MOESM22_ESM.xls › Sheet1
Analysis of single-nucleotide polymorphisms in genes associated with triple-negative breast cancer.
G V et al.
Frontiers in Genetics, 2022
36561320 (PubMed )
Supplement: Table2.xlsx › BRCA2
BRCA1 and BRCA2 Variation in Taiwanese General Population and the Cancer Cohort.
Chian J et al.
Frontiers in Molecular Biosciences, 2021
34235180 (PubMed )
Supplement: Table3.XLSX › BRCA2
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