Associated Papers
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.
Ahmad RM et al.
Briefings in Bioinformatics, 2025
41263939 (PubMed )
Supplement: supplementary_materials_bbaf611_1_.zip › Supplementary_materials_bbaf611 › Supplementary_Table_S8.xlsx › Sheet1
Evaluation of AlphaFold structure-based protein stability prediction on missense variations in cancer.
Keskin Karakoyun H et al.
Frontiers in Genetics, 2023
36896237 (PubMed )
Supplement: Table1.xlsx › clinvar_breastcancer_allvariant
Clinical, splicing, and functional analysis to classify BRCA2 exon 3 variants: Application of a points-based ACMG/AMP approach.
Thomassen M et al.
Human Mutation, 2022
35979650 (PubMed )
Supplement: HUMU-43-1921-s002.XLSX › Supp_T3
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_S16
Variomes: a high recall search engine to support the curation of genomic variants.
Pasche E et al.
Bioinformatics (oxford, England), 2022
35274687 (PubMed )
Supplement: btac146_supplementary_data.pdf
Lysine acetylation regulates the interaction between proteins and membranes.
Okada AK et al.
Nature Communications, 2021
34753925 (PubMed )
Supplement: 41467_2021_26657_MOESM4_ESM.zip › Bioinformatics.zip › Datasets › Unused › PTMVAR_download.xlsx › Humsavar_overlap_2PSP_PTM5-14-1
Cancer-causing BRCA2 missense mutations disrupt an intracellular protein assembly mechanism to disable genome maintenance.
Lee M et al.
Nucleic Acids Research, 2021
33978741 (PubMed )
Supplement: gkab308_supplemental_file.pdf
Consolidated BRCA1/2 Variant Interpretation by MH BRCA Correlates with Predicted PARP Inhibitor Efficacy Association by MH Guide.
Hirotsu Y et al.
International Journal of Molecular Sciences, 2020
32486089 (PubMed )
Supplement: ijms-21-03895-s001.zip › Supplemental_Table_2.xlsx › ENIGMA
Stage IV Colorectal Cancer Patients with High Risk Mutation Profiles Survived 16 Months Longer with Individualized Therapies.
Hendricks A et al.
Cancers, 2020
32046290 (PubMed )
Supplement: cancers-12-00393-s001.zip › cancers-698395-2.revision.supplementary_materials › SuppTables_S1-S7_.xlsx › S5_American_patients_mutations
Toward automation of germline variant curation in clinical cancer genetics.
Ravichandran V et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2019
30787465 (PubMed )
Supplement: NIHMS1525468-supplement-Large_Excel_File.xlsx › Table_S6
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 › BRCA2_ethnic_sources_
Insights into BRCA Cancer Predisposition from Integrated Germline and Somatic Analyses in 7632 Cancers.
Yost S et al.
Jnci Cancer Spectrum, 2019
31360904 (PubMed )
Supplement: supplementary_table_pkz028.zip › 20181104_Supplementary_Tables.xlsx › Supplementary_Table_2
The prognostic effects of somatic mutations in ER-positive breast cancer.
Griffith OL et al.
Nature Communications, 2018
30181556 (PubMed )
Supplement: 41467_2018_5914_MOESM12_ESM.xlsx › Sheet1
Pancreatic cancer as a sentinel for hereditary cancer predisposition.
Young EL et al.
Bmc Cancer, 2018
29945567 (PubMed )
Supplement: 12885_2018_4573_MOESM1_ESM.xlsx › Supplemental_Table_2
Performance of in silico prediction tools for the classification of rare BRCA1/2 missense variants in clinical diagnostics.
Ernst C et al.
Bmc Medical Genomics, 2018
29580235 (PubMed )
Supplement: 12920_2018_353_MOESM1_ESM.xlsx › Classified_Variant_Set
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
30212499 (PubMed )
Supplement: pone.0203553.s008.xlsx › Variants
DNA repair-related functional assays for the classification of BRCA1 and BRCA2 variants: a critical review and needs assessment.
Toland AE et al.
Journal of Medical Genetics, 2017
iFish: predicting the pathogenicity of human nonsynonymous variants using gene-specific/family-specific attributes and classifiers.
Wang M et al.
Scientific Reports, 2016
27527004 (PubMed )
Supplement: srep31321-s4.xls › SwissvarFilteredMix
Functional assays for analysis of variants of uncertain significance in BRCA2.
Guidugli L et al.
Human Mutation, 2014
A review of a multifactorial probability-based model for classification of BRCA1 and BRCA2 variants of uncertain significance (VUS).
Lindor NM et al.
Human Mutation, 2012
BRCA2 is a moderate penetrance gene contributing to young-onset prostate cancer: implications for genetic testing in prostate cancer patients.
Kote-Jarai Z et al.
British Journal of Cancer, 2011
21952622 (PubMed )
Supplement: bjc2011383x1.xls › Sheet1
A high-throughput protocol for mutation scanning of the BRCA1 and BRCA2 genes.
Hondow HL et al.
Bmc Cancer, 2011
21702907 (PubMed )
Supplement: 1471-2407-11-265-S6.XLS › Sheet1
Histopathological features of 'BRCAX' familial breast cancers in the kConFab resource.
Loughrey M et al.
Pathology, 2008
Evaluation of unclassified variants in the breast cancer susceptibility genes BRCA1 and BRCA2 using five methods: results from a population-based study of young breast cancer patients.
Lee E et al.
Breast Cancer Research : Bcr, 2008
18284688 (PubMed )
Supplement: bcr1865-S3.doc
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