Associated Papers
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.
Ahmad RM et al.
Briefings in Bioinformatics, 2025
Design and validation of a clinical whole genome sequencing-based assay for patient screening in a large healthcare system.
Wagner JT et al.
Frontiers in Molecular Biosciences, 2025
Sequencing-based functional assays for classification of BRCA2 variants in mouse ESCs.
Biswas K et al.
Cell Reports Methods, 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
Ethnic-specificity, evolution origin and deleteriousness of Asian BRCA variation revealed by over 7500 BRCA variants derived from Asian population.
Qin Z et al.
International Journal of Cancer, 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
MARGINAL: An Automatic Classification of Variants in BRCA1 and BRCA2 Genes Using a Machine Learning Model.
Karalidou V et al.
Biomolecules, 2022
Breast cancer risks associated with missense variants in breast cancer susceptibility genes.
Dorling L et al.
Genome Medicine, 2022
Variomes: a high recall search engine to support the curation of genomic variants.
Pasche E et al.
Bioinformatics (oxford, England), 2022
Sensitivity and specificity of loss of heterozygosity analysis for the classification of rare germline variants in BRCA1/2: results of the observational AGO-TR1 study (NCT02222883).
Hauke J et al.
Journal of Medical Genetics, 2022
BRCA1/BRCA2 mutation spectrum analysis in South Asia: a systematic review.
Kharel S et al.
The Journal of International Medical Research, 2022
Cancer-causing BRCA2 missense mutations disrupt an intracellular protein assembly mechanism to disable genome maintenance.
Lee M et al.
Nucleic Acids Research, 2021
Prevalence of germline pathogenic variants in 22 cancer susceptibility genes in Swedish pediatric cancer patients.
von Stedingk K et al.
Scientific Reports, 2021
Development and validation of a multigene variant profiling assay to guide targeted and immuno therapy selection in solid tumors.
Akolkar D et al.
Plos One, 2021
Analysis of Sequence and Copy Number Variants in Canadian Patient Cohort With Familial Cancer Syndromes Using a Unique Next Generation Sequencing Based Approach.
Bhai P et al.
Frontiers in Genetics, 2021
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
High-throughput functional evaluation of BRCA2 variants of unknown significance.
Ikegami M et al.
Nature Communications, 2020
Kinome capture sequencing of high-grade serous ovarian carcinoma reveals novel mutations in the JAK3 gene.
Mittempergher L et al.
Plos One, 2020
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
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
Insights into BRCA Cancer Predisposition from Integrated Germline and Somatic Analyses in 7632 Cancers.
Yost S et al.
Jnci Cancer Spectrum, 2019
Germline Pathogenic Variants in Homologous Recombination and DNA Repair Genes in an Asian Cohort of Young-Onset Colorectal Cancer.
Toh MR et al.
Jnci Cancer Spectrum, 2018
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
Biological and clinical evidence for somatic mutations in BRCA1 and BRCA2 as predictive markers for olaparib response in high-grade serous ovarian cancers in the maintenance setting.
Dougherty BA et al.
Oncotarget, 2017
A knowledge-based framework for the discovery of cancer-predisposing variants using large-scale sequencing breast cancer data.
Melloni GEM et al.
Breast Cancer Research : Bcr, 2017
Germline mutations in BRCA1 and BRCA2 in epithelial ovarian cancer patients in Brazil.
Maistro S et al.
Bmc Cancer, 2016
Patterns and functional implications of rare germline variants across 12 cancer types.
Lu C et al.
Nature Communications, 2015
CSN and CAVA: variant annotation tools for rapid, robust next-generation sequencing analysis in the clinical setting.
Münz M et al.
Genome Medicine, 2015
New recurrent BRCA1/2 mutations in Polish patients with familial breast/ovarian cancer detected by next generation sequencing.
Kluska A et al.
Bmc Medical Genomics, 2015
Massive Parallel Sequencing for Diagnostic Genetic Testing of BRCA Genes--a Single Center Experience.
Ermolenko NA et al.
Asian Pacific Journal of Cancer Prevention : Apjcp, 2015
Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations.
Martelotto LG et al.
Genome Biology, 2014
Functional assays for analysis of variants of uncertain significance in BRCA2.
Guidugli L et al.
Human Mutation, 2014
Integrated analysis of germline and somatic variants in ovarian cancer.
Kanchi KL et al.
Nature Communications, 2014
CanDrA: cancer-specific driver missense mutation annotation with optimized features.
Mao Y et al.
Plos One, 2013