Associated Papers
Molecular characterization of hereditary breast and ovarian cancer patients from a public precision medicine service in the Southeast Brazilian population.
Ribeiro AAF et al.
Scientific Reports, 2025
TP53 p.R337H Germline Variant among Women at Risk of Hereditary Breast Cancer in a Public Health System of Midwest Brazil.
Corrêa TS et al.
Genes, 2024
PARPis response and outcome of ovarian cancer patients with BRCA1/2 germline mutation and a history of breast cancer.
Yuan H et al.
Journal of Gynecologic Oncology, 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
Systematic review of the molecular basis of hereditary breast and ovarian cancer syndrome in Brazil: the current scenario.
de Freitas Ribeiro AA et al.
European Journal of Medical Research, 2024
Custom target-sequencing in triple-negative and luminal breast cancer from young Brazilian patients.
Serio PAMP et al.
Clinics (sao Paulo, Brazil), 2024
BRCA1 and BRCA2 germline mutation analysis from a cohort of 1267 patients at high risk for breast cancer in Brazil.
Mazzonetto P et al.
Breast Cancer Research and Treatment, 2023
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
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
DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data.
Liu J et al.
Genome Medicine, 2022
Background splicing as a predictor of aberrant splicing in genetic disease.
Alexieva D et al.
Rna Biology, 2022
Transposon clusters as substrates for aberrant splice-site activation.
Alvarez MEV et al.
Rna Biology, 2021
Germline molecular data in hereditary breast cancer in Brazil: Lessons from a large single-center analysis.
Sandoval RL et al.
Plos One, 2021
Novel Insights From the Germline Landscape of Breast Cancer in Brazil.
Barbalho D et al.
Frontiers in Oncology, 2021
Genomic Profiling Comparison of Germline BRCA and Non-BRCA Carriers Reveals CCNE1 Amplification as a Risk Factor for Non-BRCA Carriers in Patients With Triple-Negative Breast Cancer.
Huang X et al.
Frontiers in Oncology, 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
The germline mutational landscape of BRCA1 and BRCA2 in Brazil.
Palmero EI et al.
Scientific Reports, 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
Development and validation of a variant detection workflow for BRCA1 and BRCA2 genes and its clinical application based on the Ion Torrent technology.
Buzolin AL et al.
Human Genomics, 2017
The spectrum of BRCA1 and BRCA2 alleles in Latin America and the Caribbean: a clinical perspective.
Dutil J et al.
Breast Cancer Research and Treatment, 2015
Characterization of BRCA1 and BRCA2 splicing variants: a collaborative report by ENIGMA consortium members.
Thomassen M et al.
Breast Cancer Research and Treatment, 2012