Associated Papers
Genomic alterations linked to recurrence risk in high-grade serous ovarian cancer revealed by deep targeted sequencing.
Park YH et al.
Scientific Reports, 2025
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.
Ahmad RM et al.
Briefings in Bioinformatics, 2025
Regional Differences in the Frequency of BRCA1 and BRCA2 Variants in Northeastern Japan: A Cohort Study.
Shirota H et al.
Cancer Medicine, 2025
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
Characteristics of BRCA2 Mutated Prostate Cancer at Presentation.
Han H et al.
International Journal of Molecular Sciences, 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
Clinical Application of Comprehensive Genomic Profiling Tests for Diffuse Gliomas.
Omura T et al.
Cancers, 2022
Variomes: a high recall search engine to support the curation of genomic variants.
Pasche E et al.
Bioinformatics (oxford, England), 2022
Association between germline pathogenic variants and breast cancer risk in Japanese women: The HERPACC study.
Kasugai Y et al.
Cancer Science, 2022
Cancer-causing BRCA2 missense mutations disrupt an intracellular protein assembly mechanism to disable genome maintenance.
Lee M et al.
Nucleic Acids Research, 2021
Pathogenicity assessment of variants for breast cancer susceptibility genes based on BRCAness of tumor sample.
Yoshida R et al.
Cancer Science, 2021
Retrospective reinterpretation and reclassification of BRCA1/2 variants from Chinese population.
Li D et al.
Breast Cancer (tokyo, Japan), 2020
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
Defined lifestyle and germline factors predispose Asian populations to gastric cancer.
Suzuki A et al.
Science Advances, 2020
Germline Pathogenic Variants in 7636 Japanese Patients With Prostate Cancer and 12 366 Controls.
Momozawa Y et al.
Journal of the National Cancer Institute, 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
Germline pathogenic variants of 11 breast cancer genes in 7,051 Japanese patients and 11,241 controls.
Momozawa Y et al.
Nature Communications, 2018
Prevalence of germline BRCA mutations among women with carcinoma of the peritoneum or fallopian tube.
Choi MC et al.
Journal of Gynecologic Oncology, 2018
Association between homologous recombination repair gene mutations and response to oxaliplatin in pancreatic cancer.
Kondo T et al.
Oncotarget, 2018
Genomic Profiling on an Unselected Solid Tumor Population Reveals a Highly Mutated Wnt/β-Catenin Pathway Associated with Oncogenic EGFR Mutations.
Jiang J et al.
Journal of Personalized Medicine, 2018
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
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
Identification of a Novel BRCA1 Pathogenic Mutation in Korean Patients Following Reclassification of BRCA1 and BRCA2 Variants According to the ACMG Standards and Guidelines Using Relevant Ethnic Controls.
Park JS et al.
Cancer Research and Treatment, 2017
Findings of a 1303 Korean whole-exome sequencing study.
Kwak SH et al.
Experimental & Molecular Medicine, 2017
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