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
Synonymous and non-synonymous variants at splice junctions can disrupt splicing and are frequently linked to disease associated loss of function genes.
Srinivasan S et al.
Bmc Genomics, 2025
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.
Ahmad RM et al.
Briefings in Bioinformatics, 2025
Genomic and Epigenomic ctDNA Profiling in Liquid Biopsies from Heavily Pretreated Patients with DNA Damage Response-Deficient Tumors.
Silverman IM et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research, 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
Spectrum of germline pathogenic variants in Brazilian hereditary breast/ovarian cancer cases.
Faria JP et al.
Breast Cancer Research and Treatment, 2024
Pathogenic variants in human DNA damage repair genes mostly arose in recent human history.
Zhao B et al.
Bmc Cancer, 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
BRCA1 frameshift variants leading to extended incorrect protein C termini.
Nepomuceno TC et al.
Hgg Advances, 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
How should we address the inevitable harms from non-negligent variant reclassification in predictive genetic testing?
Rashkin M et al.
Journal of Genetic Counseling, 2023
Using species richness calculations to model the global profile of unsampled pathogenic variants: Examples from BRCA1 and BRCA2.
Rao ND et al.
Plos One, 2023
BRCA1 Norway: comparison of classification for BRCA1 germline variants detected in families with suspected hereditary breast and ovarian cancer between different laboratories.
Hovland HN et al.
Familial Cancer, 2022
Germline variants profiling of BRCA1 and BRCA2 in Chinese Hakka breast and ovarian cancer patients.
Zhang Y et al.
Bmc Cancer, 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
Human BRCA pathogenic variants were originated during recent human history.
Li J et al.
Life Science Alliance, 2022
Germline variants in hereditary breast cancer genes are associated with early age at diagnosis and family history in Guatemalan breast cancer.
Ren M et al.
Breast Cancer Research and Treatment, 2021
Thai patients who fulfilled NCCN criteria for breast/ovarian cancer genetic assessment demonstrated high prevalence of germline mutations in cancer susceptibility genes: implication to Asian population testing.
Lertwilaiwittaya P et al.
Breast Cancer Research and Treatment, 2021
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
Characterization of the Cancer Spectrum in Men With Germline BRCA1 and BRCA2 Pathogenic Variants: Results From the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA).
Silvestri V et al.
Jama Oncology, 2020
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
Classification of variants of uncertain significance in BRCA1 and BRCA2 using personal and family history of cancer from individuals in a large hereditary cancer multigene panel testing cohort.
Li H et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2020
Oncologist-led BRCA 'mainstreaming' in the ovarian cancer clinic: A study of 255 patients and its impact on their management.
Rumford M et al.
Scientific Reports, 2020
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
A plugin for the Ensembl Variant Effect Predictor that uses MaxEntScan to predict variant spliceogenicity.
Shamsani J et al.
Bioinformatics (oxford, England), 2019
The impact of variant classification on the clinical management of hereditary cancer syndromes.
Turner SA et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2019
Diagnostic mRNA splicing assay for variants in BRCA1 and BRCA2 identified two novel pathogenic splicing aberrations.
Wangensteen T et al.
Hereditary Cancer in Clinical Practice, 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
Prevalence of Variant Reclassification Following Hereditary Cancer Genetic Testing.
Mersch J et al.
Jama, 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 mutation spectrum - an update on mutation distribution in a large cancer genetics clinic in Norway.
Heramb C et al.
Hereditary Cancer in Clinical Practice, 2018
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 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
Exome sequencing covers >98% of mutations identified on targeted next generation sequencing panels.
LaDuca H et al.
Plos One, 2017
Prevalence of BRCA1/BRCA2 mutations in a Brazilian population sample at-risk for hereditary breast cancer and characterization of its genetic ancestry.
Fernandes GC et al.
Oncotarget, 2016
Functional assays provide a robust tool for the clinical annotation of genetic variants of uncertain significance.
Woods NT et al.
Npj Genomic Medicine, 2016