Associated Papers
Phenotypic evaluation of deep learning models for classifying germline variant pathogenicity.
Chow RD et al.
Npj Precision Oncology, 2024
39427061 (PubMed )
Supplement: 41698_2024_710_MOESM2_ESM.xlsx › S3
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_S14
Detection of germline variants in Brazilian breast cancer patients using multigene panel testing.
Guindalini RSC et al.
Scientific Reports, 2022
35264596 (PubMed )
Supplement: 41598_2022_7383_MOESM3_ESM.xlsx › Planilha1
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.
Reza MN et al.
Scientific Reports, 2021
34584144 (PubMed )
Supplement: 41598_2021_98547_MOESM1_ESM.zip › Supplementary_files-5-8-21 › Supplementary_file_2.xlsx › Sheet1
The prognostic effects of somatic mutations in ER-positive breast cancer.
Griffith OL et al.
Nature Communications, 2018
30181556 (PubMed )
Supplement: 41467_2018_5914_MOESM12_ESM.xlsx › Sheet1
Germline variation in cancer-susceptibility genes in a healthy, ancestrally diverse cohort: implications for individual genome sequencing.
Bodian DL et al.
Plos One, 2014
24728327 (PubMed )
Supplement: pone.0094554.s002.xlsx › Table_S1
The spectrum of ATM missense variants and their contribution to contralateral breast cancer.
Broeks A et al.
Breast Cancer Research and Treatment, 2008
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