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
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
Clinical germline diagnostic exome sequencing for hereditary cancer: Findings within novel candidate genes are prevalent.
Powis Z et al.
Cancer Genetics, 2018
Rare germline variants in ATM are associated with chronic lymphocytic leukemia.
Tiao G et al.
Leukemia, 2017
28652578 (PubMed )
Supplement: NIHMS881987-supplement-1.docx
Identification of a Variety of Mutations in Cancer Predisposition Genes in Patients With Suspected Lynch Syndrome.
Yurgelun MB et al.
Gastroenterology, 2015
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