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
Universal Genetic Testing for Newly Diagnosed Invasive Breast Cancer.
Rezoug Z et al.
Jama Network Open, 2024
39226054 (PubMed )
Supplement: jamanetwopen-e2431427-s001.pdf
Multi-gene panel testing and association analysis in Cypriot breast cancer cases and controls.
Zanti M et al.
Frontiers in Genetics, 2023
37790698 (PubMed )
Supplement: DataSheet1.xlsx › Table_S2
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
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_5.xlsx › Sheet1
Germline mutations in candidate predisposition genes in individuals with cutaneous melanoma and at least two independent additional primary cancers.
Pritchard AL et al.
Plos One, 2018
29641532 (PubMed )
Supplement: pone.0194098.s003.xlsx › UK10K_AR
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