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
The Potential of Genetics in Identifying Women at Lower Risk of Breast Cancer.
Bolze A et al.
Jama Oncology, 2024
38153744 (PubMed )
Supplement: jamaoncol-e235468-s002.xlsx › eTable_4
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
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
34262154 (PubMed )
Supplement: 41436_2021_1240_MOESM2_ESM.xlsx › Sheet1
Prospective Statewide Study of Universal Screening for Hereditary Colorectal Cancer: The Ohio Colorectal Cancer Prevention Initiative.
Pearlman R et al.
Jco Precision Oncology, 2021
Germline Pathogenic Variants in 7636 Japanese Patients With Prostate Cancer and 12 366 Controls.
Momozawa Y et al.
Journal of the National Cancer Institute, 2020
31214711 (PubMed )
Supplement: djz124_supplementary_data.zip › djz124-Suppl_Data › Supplementary_Tables_5_and_6_060619.xlsx › Supplementary_Table_6
Germline pathogenic variants of 11 breast cancer genes in 7,051 Japanese patients and 11,241 controls.
Momozawa Y et al.
Nature Communications, 2018
30287823 (PubMed )
Supplement: 41467_2018_6581_MOESM4_ESM.xlsx › SD1
Kinase-dead ATM protein is highly oncogenic and can be preferentially targeted by Topo-isomerase I inhibitors.
Yamamoto K et al.
Elife, 2016
27304073 (PubMed )
Supplement: elife-14709-supp1.xlsx › Supplementary_Information_1B
Patterns and functional implications of rare germline variants across 12 cancer types.
Lu C et al.
Nature Communications, 2015
26689913 (PubMed )
Supplement: ncomms10086-s13.xlsx › supplementary_data_12
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