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
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
Overlap of high-risk individuals predicted by family history, and genetic and non-genetic breast cancer risk prediction models: implications for risk stratification.
Ho PJ et al.
Bmc Medicine, 2022
35468796 (PubMed )
Supplement: 12916_2022_2334_MOESM2_ESM.xlsx › sT2
Germline breast cancer susceptibility genes, tumor characteristics, and survival.
Ho PJ et al.
Genome Medicine, 2021
34857041 (PubMed )
Supplement: 13073_2021_978_MOESM1_ESM.xlsx › sT2
Germline ATM variants predispose to melanoma: a joint analysis across the GenoMEL and MelaNostrum consortia.
Dalmasso B et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2021
Rare Germline Variants in ATM Predispose to Prostate Cancer: A PRACTICAL Consortium Study.
Karlsson Q et al.
European Urology Oncology, 2021
33436325 (PubMed )
Supplement: mmc2.xlsx › Table_S4
Tumor Signature Analysis Implicates Hereditary Cancer Genes in Endometrial Cancer Development.
Kondrashova O et al.
Cancers, 2021
33917078 (PubMed )
Supplement: cancers-13-01762-s001.zip › Kondrashova_etal_Supp_Tables.xlsx › Table_S5
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