Associated Papers
VarMeter2: An enhanced structure-based method for predicting pathogenic missense variants through Mahalanobis distance.
Ohno S et al.
Computational and Structural Biotechnology Journal, 2025
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
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
Validation and Data-Integration of Yeast-Based Assays for Functional Classification of BRCA1 Missense Variants.
Bellè F et al.
International Journal of Molecular Sciences, 2022
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.
Reza MN et al.
Scientific Reports, 2021
Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays.
Khoruddin NA et al.
Scientific Reports, 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
Predicting the Disease Risk of Protein Mutation Sequences With Pre-training Model.
Li K et al.
Frontiers in Genetics, 2020
REVEL and BayesDel outperform other in silico meta-predictors for clinical variant classification.
Tian Y et al.
Scientific Reports, 2019
Finding driver mutations in cancer: Elucidating the role of background mutational processes.
Brown AL et al.
Plos Computational Biology, 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
Prevalent somatic BRCA1 mutations shape clinically relevant genomic patterns of nasopharyngeal carcinoma in Southeast Europe.
Fountzilas G et al.
International Journal of Cancer, 2018
Mutation analysis of BRCA1/2 mutations with special reference to polymorphic SNPs in Indian breast cancer patients.
Shah ND et al.
The Application of Clinical Genetics, 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
MSH2 role in BRCA1-driven tumorigenesis: A preliminary study in yeast and in human tumors from BRCA1-VUS carriers.
Maresca L et al.
European Journal of Medical Genetics, 2015
Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations.
Martelotto LG et al.
Genome Biology, 2014
A guide for functional analysis of BRCA1 variants of uncertain significance.
Millot GA et al.
Human Mutation, 2012
BRCA1 and BRCA2 germline mutations in Moroccan breast/ovarian cancer families: novel mutations and unclassified variants.
Tazzite A et al.
Gynecologic Oncology, 2012
Three novel BRCA1/BRCA2 mutations in breast/ovarian cancer families in Croatia.
Levanat S et al.
Gene, 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
A high-throughput protocol for mutation scanning of the BRCA1 and BRCA2 genes.
Hondow HL et al.
Bmc Cancer, 2011
Comprehensive genetic characterization of hereditary breast/ovarian cancer families from Slovakia.
Konecny M et al.
Breast Cancer Research and Treatment, 2011
Histopathological features of 'BRCAX' familial breast cancers in the kConFab resource.
Loughrey M et al.
Pathology, 2008
BRCA1, BRCA2 and TP53 mutations in very early-onset breast cancer with associated risks to relatives.
Lalloo F et al.
European Journal of Cancer (oxford, England : 1990), 2006
Genetic and histopathologic evaluation of BRCA1 and BRCA2 DNA sequence variants of unknown clinical significance.
Chenevix-Trench G et al.
Cancer Research, 2006
Racial differences in the incidence of BRCA1 and BRCA2 mutations in a cohort of early onset breast cancer patients: African American compared to white women.
Haffty BG et al.
Journal of Medical Genetics, 2006
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
Establishing a control population to screen for the occurrence of nineteen unclassified variants in the BRCA1 gene by denaturing high-performance liquid chromatography.
Arnold N et al.
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences, 2002
Comprehensive analysis of 989 patients with breast or ovarian cancer provides BRCA1 and BRCA2 mutation profiles and frequencies for the German population.
Meindl A
International Journal of Cancer, 2002
The mutation spectrum in Holt-Oram syndrome.
Cross SJ et al.
Journal of Medical Genetics, 2000
[BRCA1 gene mutations in early-onset breast cancer].
Ding X et al.
Zhonghua Yi Xue Za Zhi, 2000