Associated Papers
MARGINAL: An Automatic Classification of Variants in BRCA1 and BRCA2 Genes Using a Machine Learning Model.
Karalidou V et al.
Biomolecules, 2022
36358902 (PubMed )
Supplement: biomolecules-12-01552-s001.zip › final_annotation_file_CanVaS.xlsx › Sheet1
Tumour Versus Germline BRCA Testing in Ovarian Cancer: A Single-Site Institution Experience in the United Kingdom.
Akaev I et al.
Diagnostics (basel, Switzerland), 2021
Classification of variants of uncertain significance in BRCA1 and BRCA2 using personal and family history of cancer from individuals in a large hereditary cancer multigene panel testing cohort.
Li H et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2020
31853058 (PubMed )
Supplement: 41436_2019_729_MOESM3_ESM.xls › Sheet1
Germline variation in BRCA1/2 is highly ethnic-specific: Evidence from over 30,000 Chinese hereditary breast and ovarian cancer patients.
Bhaskaran SP et al.
International Journal of Cancer, 2019
30702160 (PubMed )
Supplement: IJC-145-962-s006.xlsx › Total_BRCA1___BRCA2
Comprehensive BRCA mutation analysis in the Greek population. Experience from a single clinical diagnostic center.
Apessos A et al.
Cancer Genetics, 2018
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_AD
Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations.
Martelotto LG et al.
Genome Biology, 2014
25348012 (PubMed )
Supplement: 13059_2014_484_MOESM2_ESM.xlsx › Additional_file_2
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