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
Genetic landscape of a large cohort of Primary Ovarian Insufficiency: New genes and pathways and implications for personalized medicine.
Heddar A et al.
Ebiomedicine, 2022
36099812 (PubMed )
Supplement: mmc3.xlsx › Sheet1
Uncovering the Contribution of Moderate-Penetrance Susceptibility Genes to Breast Cancer by Whole-Exome Sequencing and Targeted Enrichment Sequencing of Candidate Genes in Women of European Ancestry.
Dumont M et al.
Cancers, 2022
35884425 (PubMed )
Supplement: cancers-14-03363-s001.zip › Table_S3-final_16052022.xlsx › Table_S3B
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
Prevalence and Clinicopathological Characteristics of Moderate and High-Penetrance Genes in Non-BRCA1/2 Breast Cancer High-Risk Spanish Families.
Fonfria M et al.
Journal of Personalized Medicine, 2021
34204722 (PubMed )
Supplement: jpm-11-00548-s001.zip › jpm-1218134-supplementary.pdf
Clinical and genomic insights into circulating tumor DNA-based alterations across the spectrum of metastatic hormone-sensitive and castrate-resistant prostate cancer.
Kohli M et al.
Ebiomedicine, 2020
32268276 (PubMed )
Supplement: mmc5.xlsx › Germline_SNV
Analysis of hereditary cancer syndromes by using a panel of genes: novel and multiple pathogenic mutations.
Tsaousis GN et al.
Bmc Cancer, 2019
31159747 (PubMed )
Supplement: 12885_2019_5756_MOESM6_ESM.xlsx › Supplementary_Table_S5
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