Associated Papers
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.
Ahmad RM et al.
Briefings in Bioinformatics, 2025
Beyond BRCA deficiency: Clinical and molecular predictors of survival in patients with BRCA-deficient tubo-ovarian high-grade serous carcinoma.
Zwimpfer TA et al.
Medrxiv : the Preprint Server for Health Sciences, 2025
Estimating Cancer Penetrance in Carriers of BRCA2 Pathogenic Variants Using Cancer-Specific Polygenic Scores.
Prassas B et al.
Cancer Medicine, 2025
Insights From Nonsense-Mediated mRNA Decay for Prognosis in Homologous Recombination-Deficient Ovarian Cancer.
Han L et al.
Cancer Science, 2025
Saturation genome editing-based clinical classification of BRCA2 variants.
Sahu S et al.
Nature, 2025
Functional evaluation and clinical classification of BRCA2 variants.
Huang H et al.
Nature, 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
Pathogenic variants in human DNA damage repair genes mostly arose after the latest human out-of-Africa migration.
He J et al.
Frontiers in Genetics, 2024
Sequencing-based functional assays for classification of BRCA2 variants in mouse ESCs.
Biswas K et al.
Cell Reports Methods, 2023
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
Relationship between homologous recombination deficiency and clinical features of breast cancer based on genomic scar score.
Feng C et al.
Breast (edinburgh, Scotland), 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
Distinct landscapes of deleterious variants in DNA damage repair system in ethnic human populations.
Qin Z et al.
Life Science Alliance, 2022
Computational Biology of BRCA2 in Male Breast Cancer, through Prediction of Probable nsSNPs, and Hit Identification.
Shinde SD et al.
Acs Omega, 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
Variomes: a high recall search engine to support the curation of genomic variants.
Pasche E et al.
Bioinformatics (oxford, England), 2022
Are transient protein-protein interactions more dispensable?
Ghadie MA et al.
Plos Computational Biology, 2022
Tumor Signature Analysis Implicates Hereditary Cancer Genes in Endometrial Cancer Development.
Kondrashova O et al.
Cancers, 2021
Strong functional data for pathogenicity or neutrality classify BRCA2 DNA-binding-domain variants of uncertain significance.
Richardson ME et al.
American Journal of Human Genetics, 2021
Targeted Therapy of Papillary Thyroid Cancer: A Comprehensive Genomic Analysis.
Hescheler DA et al.
Frontiers in Endocrinology, 2021
A computational model for classification of BRCA2 variants using mouse embryonic stem cell-based functional assays.
Biswas K et al.
Npj Genomic Medicine, 2020
Patient specific circulating tumor DNA fingerprints to monitor treatment response across multiple tumors.
Li J et al.
Journal of Translational Medicine, 2020
Hereditary Predisposition to Prostate Cancer: From Genetics to Clinical Implications.
Brandão A 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
Differential Response to Olaparib Treatment Among Men with Metastatic Castration-resistant Prostate Cancer Harboring BRCA1 or BRCA2 Versus ATM Mutations.
Marshall CH et al.
European Urology, 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