Varaico: Literature-Extracted Genetic Variants

Gene:BRCA2
Variant:p.N1880K
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BRCA2

NM_000059.4:p.N1880K

Associated Papers

Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.

Ahmad RM et al.

Briefings in Bioinformatics, 2025

41263939 (PubMed )
Supplement: supplementary_materials_bbaf611_1_.zip › Supplementary_materials_bbaf611 › Supplementary_Table_S8.xlsx › Sheet1

Deciphering DNA repair gene mutational landscape in uterine corpus endometrial carcinoma patients using next generation sequencing.

Lou J et al.

American Journal of Cancer Research, 2024

Evaluating Germline Testing Panels in Southern African Males With Advanced Prostate Cancer.

Gheybi K et al.

Journal of the National Comprehensive Cancer Network : Jnccn, 2023

Evaluation of AlphaFold structure-based protein stability prediction on missense variations in cancer.

Keskin Karakoyun H et al.

Frontiers in Genetics, 2023

36896237 (PubMed )
Supplement: Table1.xlsx › clinvar_breastcancer_allvariant

Landscape of germline BRCA1/BRCA2 variants in breast and ovarian cancer in Peru.

Ferreyra Y et al.

Frontiers in Oncology, 2023

37664050 (PubMed )
Supplement: Table_2.xlsx › Table_S2

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

35979650 (PubMed )
Supplement: HUMU-43-1921-s002.XLSX › Supp_T3

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

36329109 (PubMed )
Supplement: 41598_2022_23012_MOESM2_ESM.xlsx › Supplementary_Table_S2_

MARGINAL: An Automatic Classification of Variants in BRCA1 and BRCA2 Genes Using a Machine Learning Model.

Karalidou V et al.

Biomolecules, 2022

36358902 (PubMed )
Supplement: biomolecules-12-01552-s001.zip › final_annotation_file_CanVaS.xlsx › Sheet1

Screening of BRCA1/2 variants in Mauritanian breast cancer patients.

Brahim SM et al.

Bmc Cancer, 2022

Mutational spectrum of BRCA1/2 genes in Moroccan patients with hereditary breast and/or ovarian cancer, and review of BRCA mutations in the MENA region.

Elalaoui SC et al.

Breast Cancer Research and Treatment, 2022

Breast cancer risks associated with missense variants in breast cancer susceptibility genes.

Dorling L et al.

Genome Medicine, 2022

35585550 (PubMed )
Supplement: 13073_2022_1052_MOESM2_ESM.xlsx › Table_S16

Variomes: a high recall search engine to support the curation of genomic variants.

Pasche E et al.

Bioinformatics (oxford, England), 2022

35274687 (PubMed )
Supplement: btac146_supplementary_data.pdf

Integrated Analysis of Ovarian Juvenile Granulosa Cell Tumors Reveals Distinct Epigenetic Signatures and Recurrent TERT Rearrangements.

Vougiouklakis T et al.

Clinical Cancer Research : an Official Journal of the American Association for Cancer Research, 2022

Preliminary results of targeted sequencing of BRCA1 and BRCA2 in a cohort of breast cancer families: New insight into pathogenic variants in patients and at‑risk relatives.

Saied MH et al.

Molecular Medicine Reports, 2021

Cancer-causing BRCA2 missense mutations disrupt an intracellular protein assembly mechanism to disable genome maintenance.

Lee M et al.

Nucleic Acids Research, 2021

33978741 (PubMed )
Supplement: gkab308_supplemental_file.pdf

Gene Sequencing for Pathogenic Variants Among Adults With Breast and Ovarian Cancer in the Caribbean.

George SHL et al.

Jama Network Open, 2021

33646313 (PubMed )
Supplement: jamanetwopen-e210307-s001.pdf

Pathogenicity assessment of variants for breast cancer susceptibility genes based on BRCAness of tumor sample.

Yoshida R et al.

Cancer Science, 2021

33421217 (PubMed )
Supplement: CAS-112-1310-s002.xlsx › ____

Interpreting Sequence Variation in PDAC-Predisposing Genes Using a Multi-Tier Annotation Approach Performed at the Gene, Patient, and Cohort Level.

Zimmermann MT et al.

Frontiers in Oncology, 2021

33747920 (PubMed )
Supplement: DataSheet_2.xlsx › Table_S8

A computational model for classification of BRCA2 variants using mouse embryonic stem cell-based functional assays.

Biswas K et al.

Npj Genomic Medicine, 2020

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

32486089 (PubMed )
Supplement: ijms-21-03895-s001.zip › Supplemental_Table_2.xlsx › ARUP

The GenomeAsia 100K Project enables genetic discoveries across Asia.

Unknown Author

Nature, 2019

31802016 (PubMed )
Supplement: 41586_2019_1793_MOESM3_ESM.xlsx › S4b_-_Disease_Var

REVEL and BayesDel outperform other in silico meta-predictors for clinical variant classification.

Tian Y et al.

Scientific Reports, 2019

31484976 (PubMed )
Supplement: 41598_2019_49224_MOESM2_ESM.xlsx › Sheet1

Toward automation of germline variant curation in clinical cancer genetics.

Ravichandran V et al.

Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2019

30787465 (PubMed )
Supplement: NIHMS1525468-supplement-Large_Excel_File.xlsx › Table_S6

Insights into BRCA Cancer Predisposition from Integrated Germline and Somatic Analyses in 7632 Cancers.

Yost S et al.

Jnci Cancer Spectrum, 2019

31360904 (PubMed )
Supplement: supplementary_table_pkz028.zip › 20181104_Supplementary_Tables.xlsx › Supplementary_Table_2

Population and breast cancer patients' analysis reveals the diversity of genomic variation of the BRCA genes in the Mexican population.

Fernández-Lopez JC et al.

Human Genomics, 2019

30630528 (PubMed )
Supplement: 40246_2018_188_MOESM3_ESM.xlsx › Hoja1

A Bayesian framework for efficient and accurate variant prediction.

Qian D et al.

Plos One, 2018

30212499 (PubMed )
Supplement: pone.0203553.s008.xlsx › Variants

Next Generation Sequencing Reveals High Prevalence of BRCA1 and BRCA2 Variants of Unknown Significance in Early-Onset Breast Cancer in African American Women.

Ricks-Santi L et al.

Ethnicity & Disease, 2017

iFish: predicting the pathogenicity of human nonsynonymous variants using gene-specific/family-specific attributes and classifiers.

Wang M et al.

Scientific Reports, 2016

27527004 (PubMed )
Supplement: srep31321-s4.xls › SwissvarFilteredMix

Identification of Medically Actionable Secondary Findings in the 1000 Genomes.

Olfson E et al.

Plos One, 2015

26332594 (PubMed )
Supplement: pone.0135193.s002.xls › Sheet1

Germline variation in cancer-susceptibility genes in a healthy, ancestrally diverse cohort: implications for individual genome sequencing.

Bodian DL et al.

Plos One, 2014

24728327 (PubMed )
Supplement: pone.0094554.s002.xlsx › Table_S1

Genetic testing in hereditary breast and ovarian cancer using massive parallel sequencing.

Ruiz A et al.

Biomed Research International, 2014

25136594 (PubMed )
Supplement: 542541.f1.pdf

High prevalence of BRCA1 and BRCA2 mutations in unselected Nigerian breast cancer patients.

Fackenthal JD et al.

International Journal of Cancer, 2012

Breast cancer in young women (YBC): prevalence of BRCA1/2 mutations and risk of secondary malignancies across diverse racial groups.

Haffty BG et al.

Annals of Oncology : Official Journal of the European Society for Medical Oncology, 2009

Evaluation of unclassified variants in the breast cancer susceptibility genes BRCA1 and BRCA2 using five methods: results from a population-based study of young breast cancer patients.

Lee E et al.

Breast Cancer Research : Bcr, 2008

18284688 (PubMed )
Supplement: bcr1865-S3.doc

Prevalence of BRCA mutations and founder effect in high-risk Hispanic families.

Weitzel JN et al.

Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology, 2005

Breast cancer genetics in African Americans.

Olopade OI et al.

Cancer, 2003

Family history of cancer and germline BRCA2 mutations in sporadic exocrine pancreatic cancer.

Real FX et al.

Gut, 2002

An improved high throughput heteroduplex mutation detection system for screening BRCA2 mutations-fluorescent mutation detection (F-MD).

Edwards SM et al.

Human Mutation, 2001

Germline and Somatic mutations in postmenopausal breast cancer patients.

Nagy TR et al.

Clinics (sao Paulo, Brazil), 0

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