Associated Papers
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
VarMeter2: An enhanced structure-based method for predicting pathogenic missense variants through Mahalanobis distance.
Ohno S et al.
Computational and Structural Biotechnology Journal, 2025
Exploration of BRCA1 and BRCA2 mutations in gastric cancer patients through next generation sequencing: implications for diagnosis and therapy.
Ahmed I et al.
American Journal of Translational Research, 2024
BRCA1 frameshift variants leading to extended incorrect protein C termini.
Nepomuceno TC et al.
Hgg Advances, 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
Familial history and prevalence of BRCA1, BRCA2 and TP53 pathogenic variants in HBOC Brazilian patients from a public healthcare service.
Matta BP et al.
Scientific Reports, 2022
Assessment of small in-frame indels and C-terminal nonsense variants of BRCA1 using a validated functional assay.
Nepomuceno TC et al.
Scientific Reports, 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
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
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
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
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
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
Insights into BRCA Cancer Predisposition from Integrated Germline and Somatic Analyses in 7632 Cancers.
Yost S et al.
Jnci Cancer Spectrum, 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
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
Functional assays provide a robust tool for the clinical annotation of genetic variants of uncertain significance.
Woods NT et al.
Npj Genomic Medicine, 2016
Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations.
Martelotto LG et al.
Genome Biology, 2014
Probing structure-function relationships in missense variants in the carboxy-terminal region of BRCA1.
Carvalho RS et al.
Plos One, 2014
A guide for functional analysis of BRCA1 variants of uncertain significance.
Millot GA et al.
Human Mutation, 2012
High prevalence of BRCA1 and BRCA2 mutations in unselected Nigerian breast cancer patients.
Fackenthal JD et al.
International Journal of Cancer, 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 computational method to classify variants of uncertain significance using functional assay data with application to BRCA1.
Iversen ES et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology, 2011
Analysis of a set of missense, frameshift, and in-frame deletion variants of BRCA1.
Carvalho M et al.
Mutation Research, 2009
Determination of cancer risk associated with germ line BRCA1 missense variants by functional analysis.
Carvalho MA et al.
Cancer Research, 2007
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
Classification of BRCA1 missense variants of unknown clinical significance.
Phelan CM et al.
Journal of Medical Genetics, 2005