Associated Papers
A scalable approach to resolving variants of uncertain significance.
Tejura M et al.
Biorxiv : the Preprint Server for Biology, 2026
ACMG/AMP interpretation of BRCA1 missense variants: Structure-informed scores add evidence strength granularity to the PP3/BP4 computational evidence.
Ramadane-Morchadi L et al.
American Journal of Human Genetics, 2025
Multi-locus inherited neoplasia alleles syndromes in cancer: implications for clinical practice.
Yuen J et al.
European Journal of Human Genetics : Ejhg, 2025
Scalable approaches for generating, validating and incorporating data from high-throughput functional assays to improve clinical variant classification.
Padigepati SR et al.
Human Genetics, 2024
Using Portuguese BRCA pathogenic variation as a model to study the impact of human admixture on human health.
Andaluz S et al.
Bmc Genomics, 2024
Age-specific breast and ovarian cancer risks associated with germline BRCA1 or BRCA2 pathogenic variants - an Asian study of 572 families.
Ho WK et al.
The Lancet Regional Health. Western Pacific, 2024
Extended genetic analysis and tumor characteristics in over 4600 women with suspected hereditary breast and ovarian cancer.
Öfverholm A et al.
Bmc Cancer, 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
A MALDI-TOF mass spectrometry-based method for detection of copy number variations in BRCA1 and BRCA2 genes.
Zhou H et al.
Frontiers in Molecular Biosciences, 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
Breast cancer risks associated with missense variants in breast cancer susceptibility genes.
Dorling L et al.
Genome Medicine, 2022
Comprehensive evaluation of BRCA1/2 variant interpretation ability among laboratories in China.
Shao K et al.
Journal of Medical Genetics, 2022
Quantifying prediction of pathogenicity for within-codon concordance (PM5) using 7541 functional classifications of BRCA1 and MSH2 missense variants.
Loong L et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2022
DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data.
Liu J et al.
Genome Medicine, 2022
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.
Reza MN 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
Prevalence of hereditary breast and ovarian cancer (HBOC) predisposition gene mutations among 882 HBOC high-risk Chinese individuals.
Shao D et al.
Cancer Science, 2020
Accurate classification of BRCA1 variants with saturation genome editing.
Findlay GM et al.
Nature, 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
Implementation of next-generation sequencing for molecular diagnosis of hereditary breast and ovarian cancer highlights its genetic heterogeneity.
Pinto P et al.
Breast Cancer Research and Treatment, 2016
Nonoptical massive parallel DNA sequencing of BRCA1 and BRCA2 genes in a diagnostic setting.
Costa JL et al.
Human Mutation, 2013