Varaico: Literature-Extracted Genetic Variants

Gene:BRCA2
Variant:p.D2665G
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BRCA2

NM_000059.4:p.D2665G

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

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

39779857 (PubMed )
Supplement: 41586_2024_8388_MOESM3_ESM.xlsx › Table_S4A

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

38671360 (PubMed )
Supplement: 12864_2024_10311_MOESM2_ESM.xlsx › BRCA2

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

36865205 (PubMed )
Supplement: media-10.xlsx › Table_S2

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

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

Classification of BRCA2 Variants of Uncertain Significance (VUS) Using an ACMG/AMP Model Incorporating a Homology-Directed Repair (HDR) Functional Assay.

Hu C et al.

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

35887294 (PubMed )
Supplement: ijms-23-07946-s001.zip › Supplementary_Table_S4.xlsx › BRCA2_Dataset

An integrative model for the comprehensive classification of BRCA1 and BRCA2 variants of uncertain clinical significance.

Iversen ES et al.

Npj Genomic Medicine, 2022

35665744 (PubMed )
Supplement: 41525_2022_302_MOESM3_ESM.xlsx › BRCA2_inSilico_PCs___AGVGD

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

Detection of germline variants in Brazilian breast cancer patients using multigene panel testing.

Guindalini RSC et al.

Scientific Reports, 2022

35264596 (PubMed )
Supplement: 41598_2022_7383_MOESM3_ESM.xlsx › Planilha1

Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays.

Khoruddin NA et al.

Scientific Reports, 2021

34373545 (PubMed )
Supplement: 41598_2021_95618_MOESM1_ESM.xlsx › Training_Dataset

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

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

33609447 (PubMed )
Supplement: mmc2.xlsx › Sheet1

Identification of MicroRNA-Related Tumorigenesis Variants and Genes in the Cancer Genome Atlas (TCGA) Data.

Li C et al.

Genes, 2020

32824926 (PubMed )
Supplement: genes-11-00953-s001.zip › Table_S4.xlsx › Sheet1

Genetic testing in Poland and Ukraine: should comprehensive germline testing of BRCA1 and BRCA2 be recommended for women with breast and ovarian cancer?

Nguyen-Dumont T et al.

Genetics Research, 2020

Spectrum of Germline BRCA1 and BRCA2 Variants Identified in 2351 Ovarian and Breast Cancer Patients Referring to a Reference Cancer Hospital of Rome.

Santonocito C et al.

Cancers, 2020

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

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

30702160 (PubMed )
Supplement: IJC-145-962-s006.xlsx › BRCA2_ethnic_sources_

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_1

Data-adaptive multi-locus association testing in subjects with arbitrary genealogical relationships.

Gong G et al.

Statistical Applications in Genetics and Molecular Biology, 2019

Finding driver mutations in cancer: Elucidating the role of background mutational processes.

Brown AL et al.

Plos Computational Biology, 2019

31034466 (PubMed )
Supplement: pcbi.1006981.s010.xlsx › final_benchmark

Comprehensive annotation of BRCA1 and BRCA2 missense variants by functionally validated sequence-based computational prediction models.

Hart SN et al.

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

Performance of in silico prediction tools for the classification of rare BRCA1/2 missense variants in clinical diagnostics.

Ernst C et al.

Bmc Medical Genomics, 2018

29580235 (PubMed )
Supplement: 12920_2018_353_MOESM1_ESM.xlsx › Classified_Variant_Set

Assessment of the Clinical Relevance of BRCA2 Missense Variants by Functional and Computational Approaches.

Guidugli L et al.

American Journal of Human Genetics, 2018

A Bayesian framework for efficient and accurate variant prediction.

Qian D et al.

Plos One, 2018

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

Spectrum of genetic variants of BRCA1 and BRCA2 in a German single center study.

Meisel C et al.

Archives of Gynecology and Obstetrics, 2017

Assessment of in silico protein sequence analysis in the clinical classification of variants in cancer risk genes.

Kerr ID et al.

Journal of Community Genetics, 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

Patterns and functional implications of rare germline variants across 12 cancer types.

Lu C et al.

Nature Communications, 2015

26689913 (PubMed )
Supplement: ncomms10086-s13.xlsx › supplementary_data_12

The role of targeted BRCA1/BRCA2 mutation analysis in hereditary breast/ovarian cancer families of Portuguese ancestry.

Peixoto A et al.

Clinical Genetics, 2015

Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations.

Martelotto LG et al.

Genome Biology, 2014

25348012 (PubMed )
Supplement: 13059_2014_484_MOESM2_ESM.xlsx › Additional_file_2

Functional assays for analysis of variants of uncertain significance in BRCA2.

Guidugli L et al.

Human Mutation, 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

25717368 (PubMed )
Supplement: f1000research-3-6038-s0000.tgz › e0d3facd-5877-477e-9217-8c5aa68746f2_Supplementary-Tables-11112014.zip › Supplementary-Tables-and-Figures-11112014 › Supplementary_Table_9._Validated_Variantsv2.xlsx › Supplementary_Table_9

A classification model for BRCA2 DNA binding domain missense variants based on homology-directed repair activity.

Guidugli L et al.

Cancer Research, 2013

Role of rare variants in undetermined multiple adenomatous polyposis and early-onset colorectal cancer.

Lefevre JH et al.

Journal of Human Genetics, 2012

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

BRCA2 is a moderate penetrance gene contributing to young-onset prostate cancer: implications for genetic testing in prostate cancer patients.

Kote-Jarai Z et al.

British Journal of Cancer, 2011

21952622 (PubMed )
Supplement: bjc2011383x1.xls › Sheet1

Assessment of rare BRCA1 and BRCA2 variants of unknown significance using hierarchical modeling.

Capanu M et al.

Genetic Epidemiology, 2011

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Regarding the variants extracted from papers and shown text snippets from research papers, the following holds: "Some rights reserved. This work permits non-commercial use, distribution and reproduction in any medium, provided the original author and source are credited."