Associated Papers
Whole-genome landscapes of 1,364 breast cancers.
Kim R et al.
Nature, 2026
The Causal Pivot: A structural approach to genetic heterogeneity and variant discovery in complex diseases.
Shaw CA et al.
American Journal of Human Genetics, 2025
Genetic Variants Associated with Breast Cancer Are Detected by Whole-Exome Sequencing in Vietnamese Patients.
Van Tung N et al.
Diagnostics (basel, Switzerland), 2025
VarMeter2: An enhanced structure-based method for predicting pathogenic missense variants through Mahalanobis distance.
Ohno S et al.
Computational and Structural Biotechnology Journal, 2025
Population-based BRCA germline mutation screening in the Han Chinese identifies individuals at risk of BRCA mutation-related cancer: experience from a clinical diagnostic center from greater Shanghai area.
Wu Z et al.
Bmc Cancer, 2024
The evolutionary impact of childhood cancer on the human gene pool.
Stoltze UK et al.
Nature Communications, 2024
Genomic analyses of germline and somatic variation in high-grade serous ovarian cancer.
Adamson AW et al.
Journal of Ovarian Research, 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
A Comprehensive Evaluation of the Performance of Prediction Algorithms on Clinically Relevant Missense Variants.
Qorri E et al.
International Journal of Molecular Sciences, 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
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.
Reza MN et al.
Scientific Reports, 2021
Clinical Utility of Circulating Cell-Free DNA Mutations in Anaplastic Thyroid Carcinoma.
Qin Y et al.
Thyroid : Official Journal of the American Thyroid Association, 2021
Towards a New, Endophenotype-Based Strategy for Pathogenicity Prediction in BRCA1 and BRCA2: In Silico Modeling of the Outcome of HDR/SGE Assays for Missense Variants.
Özkan S et al.
International Journal of Molecular Sciences, 2021
BRCA1/2 mutations and risk-reducing bilateral salpingo-oophorectomy among Latinas: The UPTAKE study.
Lynce F et al.
Journal of Genetic Counseling, 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
Systematic misclassification of missense variants in BRCA1 and BRCA2 "coldspots".
Dines JN et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 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
A model combining clinical and genomic factors to predict response to PD-1/PD-L1 blockade in advanced urothelial carcinoma.
Nassar AH et al.
British Journal of Cancer, 2020
TAPES: A tool for assessment and prioritisation in exome studies.
Xavier A et al.
Plos Computational Biology, 2019
BRCA1 and BRCA2 mutations in a sample of breast and ovarian cancer families from the Colombian pacific.
Cifuentes-C L et al.
Colombia Medica (cali, Colombia), 2019
REVEL and BayesDel outperform other in silico meta-predictors for clinical variant classification.
Tian Y et al.
Scientific Reports, 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
CharGer: clinical Characterization of Germline variants.
Scott AD et al.
Bioinformatics (oxford, England), 2019
Population and breast cancer patients' analysis reveals the diversity of genomic variation of the BRCA genes in the Mexican population.
Fernández-Lopez JC et al.
Human Genomics, 2019
Mutational analysis of BRCA1 and BRCA2 genes in women with familial breast cancer from different regions of Colombia.
Cortés C et al.
Hereditary Cancer in Clinical Practice, 2019
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
A novel molecular diagnostics platform for somatic and germline precision oncology.
Cabanillas R et al.
Molecular Genetics & Genomic Medicine, 2017
Suggestion of BRCA1 c.5339T>C (p.L1780P) variant confer from 'unknown significance' to 'Likely pathogenic' based on clinical evidence in Korea.
Ryu JM et al.
Breast (edinburgh, Scotland), 2017
A guide for functional analysis of BRCA1 variants of uncertain significance.
Millot GA et al.
Human Mutation, 2012
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
Application of embryonic lethal or other obvious phenotypes to characterize the clinical significance of genetic variants found in trans with known deleterious mutations.
Judkins T et al.
Cancer Research, 2005
Analysis of missense variation in human BRCA1 in the context of interspecific sequence variation.
Abkevich V et al.
Journal of Medical Genetics, 2004
Detection of BRCA1 and BRCA2 mutations in breast cancer families by a comprehensive two-stage screening procedure.
Spitzer E et al.
International Journal of Cancer, 2000