Associated Papers
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.
Ahmad RM et al.
Briefings in Bioinformatics, 2025
Estimating Cancer Penetrance in Carriers of BRCA2 Pathogenic Variants Using Cancer-Specific Polygenic Scores.
Prassas B et al.
Cancer Medicine, 2025
Saturation genome editing-based clinical classification of BRCA2 variants.
Sahu S et al.
Nature, 2025
Functional evaluation and clinical classification of BRCA2 variants.
Huang H et al.
Nature, 2025
In silico and structure-based assessment to classify VUS identified in the α-helical domain of BRCA2.
Khan MA et al.
Journal of Biomolecular Structure & Dynamics, 2023
The pathogenic role of the BRCA2 c.7847C>T (p.Ser2616Phe) variant in breast and ovarian cancer predisposition.
Yamazawa K et al.
Cancer Science, 2023
Evaluation of AlphaFold structure-based protein stability prediction on missense variations in cancer.
Keskin Karakoyun H et al.
Frontiers in Genetics, 2023
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
A Comprehensive Evaluation of the Performance of Prediction Algorithms on Clinically Relevant Missense Variants.
Qorri E et al.
International Journal of Molecular Sciences, 2022
An integrative model for the comprehensive classification of BRCA1 and BRCA2 variants of uncertain clinical significance.
Iversen ES et al.
Npj Genomic Medicine, 2022
Human BRCA pathogenic variants were originated during recent human history.
Li J et al.
Life Science Alliance, 2022
Variomes: a high recall search engine to support the curation of genomic variants.
Pasche E et al.
Bioinformatics (oxford, England), 2022
Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays.
Khoruddin NA et al.
Scientific Reports, 2021
Strong functional data for pathogenicity or neutrality classify BRCA2 DNA-binding-domain variants of uncertain significance.
Richardson ME et al.
American Journal of Human Genetics, 2021
Impact of DNA damage repair defects and aggressive variant features on response to carboplatin-based chemotherapy in metastatic castration-resistant prostate cancer.
Slootbeek PHJ et al.
International Journal of Cancer, 2021
Pan-cancer landscape of homologous recombination deficiency.
Nguyen L et al.
Nature Communications, 2020
High-throughput functional evaluation of BRCA2 variants of unknown significance.
Ikegami M et al.
Nature Communications, 2020
In silico analysis for determining the deleterious nonsynonymous single nucleotide polymorphisms of BRCA genes.
Yadegari F et al.
Molecular Biology Research Communications, 2019
REVEL and BayesDel outperform other in silico meta-predictors for clinical variant classification.
Tian Y et al.
Scientific Reports, 2019
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
Estimating dispensable content in the human interactome.
Ghadie M et al.
Nature Communications, 2019
The functional impact of variants of uncertain significance in BRCA2.
Mesman RLS et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2019
Comprehensive annotation of BRCA1 and BRCA2 missense variants by functionally validated sequence-based computational prediction models.
Hart SN et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2019
Assessment of the Clinical Relevance of BRCA2 Missense Variants by Functional and Computational Approaches.
Guidugli L et al.
American Journal of Human Genetics, 2018
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
Functional assays for analysis of variants of uncertain significance in BRCA2.
Guidugli L et al.
Human Mutation, 2014
A classification model for BRCA2 DNA binding domain missense variants based on homology-directed repair activity.
Guidugli L et al.
Cancer Research, 2013
A simple method for co-segregation analysis to evaluate the pathogenicity of unclassified variants; BRCA1 and BRCA2 as an example.
Mohammadi L et al.
Bmc Cancer, 2009
A method to assess the clinical significance of unclassified variants in the BRCA1 and BRCA2 genes based on cancer family history.
Gómez García EB et al.
Breast Cancer Research : Bcr, 2009
Classifying Variants of Undetermined Significance in BRCA2 with protein likelihood ratios.
Karchin R et al.
Cancer Informatics, 2008
A DGGE system for comprehensive mutation screening of BRCA1 and BRCA2: application in a Dutch cancer clinic setting.
van der Hout AH et al.
Human Mutation, 2006