Associated Papers
Pathogenic variation in human DNA damage repair genes was originated from the evolutionary process of modern humans.
Li J et al.
Genes & Diseases, 2026
Pathogenic variants in human DNA damage repair genes mostly arose in recent human history.
Zhao B et al.
Bmc Cancer, 2024
SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion.
Canson DM et al.
Bioinformatics (oxford, England), 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
APPLICATION OF THE ACMG/AMP FRAMEWORK TO CAPTURE EVIDENCE RELEVANT TO PREDICTED AND OBSERVED IMPACT ON SPLICING: RECOMMENDATIONS FROM THE CLINGEN SVI SPLICING SUBGROUP.
Walker LC et al.
Medrxiv : the Preprint Server for Health Sciences, 2023
Human BRCA pathogenic variants were originated during recent human history.
Li J et al.
Life Science Alliance, 2022
BRCA1 and Breast Cancer: Molecular Mechanisms and Therapeutic Strategies.
Fu X et al.
Frontiers in Cell and Developmental Biology, 2022
Study of the Genetic Variants in BRCA1/2 and Non-BRCA Genes in a Population-Based Cohort of 2155 Breast/Ovary Cancer Patients, Including 443 Triple-Negative Breast Cancer Patients, in Argentina.
Solano AR et al.
Cancers, 2021
Analysis of Italian BRCA1/2 Pathogenic Variants Identifies a Private Spectrum in the Population from the Bergamo Province in Northern Italy.
Figlioli G et al.
Cancers, 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
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
A plugin for the Ensembl Variant Effect Predictor that uses MaxEntScan to predict variant spliceogenicity.
Shamsani J et al.
Bioinformatics (oxford, England), 2019
Corrigendum: Novel diagnostic tool for prediction of variant spliceogenicity derived from a set of 395 combined in silico/in vitro studies: an international collaborative effort.
Leman R et al.
Nucleic Acids Research, 2018
Addition of triple negativity of breast cancer as an indicator for germline mutations in predisposing genes increases sensitivity of clinical selection criteria.
Hoyer J et al.
Bmc Cancer, 2018
Novel diagnostic tool for prediction of variant spliceogenicity derived from a set of 395 combined in silico/in vitro studies: an international collaborative effort.
Leman R et al.
Nucleic Acids Research, 2018
BRCA1 and BRCA2 mutations and clinical interpretation in 398 ovarian cancer patients: comparison with breast cancer variants in a similar population.
Cardoso FC et al.
Human Genomics, 2018
Computational Tools for Splicing Defect Prediction in Breast/Ovarian Cancer Genes: How Efficient Are They at Predicting RNA Alterations?
Moles-Fernández A et al.
Frontiers in Genetics, 2018
GEMO, a National Resource to Study Genetic Modifiers of Breast and Ovarian Cancer Risk in BRCA1 and BRCA2 Pathogenic Variant Carriers.
Lesueur F et al.
Frontiers in Oncology, 2018
Evaluation of copy-number variants as modifiers of breast and ovarian cancer risk for BRCA1 pathogenic variant carriers.
Walker LC et al.
European Journal of Human Genetics : Ejhg, 2017
Splicing analysis of 14 BRCA1 missense variants classifies nine variants as pathogenic.
Ahlborn LB et al.
Breast Cancer Research and Treatment, 2015
Clinical next generation sequencing of pediatric-type malignancies in adult patients identifies novel somatic aberrations.
Silva JG et al.
Oncoscience, 2015
Linking distant relatives with BRCA gene mutations: potential for cost savings.
Senter L et al.
Clinical Genetics, 2014
Interpretation of mRNA splicing mutations in genetic disease: review of the literature and guidelines for information-theoretical analysis.
Caminsky N et al.
F1000research, 2014
Comparative in vitro and in silico analyses of variants in splicing regions of BRCA1 and BRCA2 genes and characterization of novel pathogenic mutations.
Colombo M et al.
Plos One, 2013
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 systematic genetic assessment of 1,433 sequence variants of unknown clinical significance in the BRCA1 and BRCA2 breast cancer-predisposition genes.
Easton DF et al.
American Journal of Human Genetics, 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
Absence of CCND1 gene amplification in breast tumours of BRCA1 mutation carriers.
Vaziri SA et al.
Molecular Pathology : Mp, 2001
Breast tumor immunophenotype of BRCA1-mutation carriers is influenced by age at diagnosis.
Vaziri SA et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research, 2001