Varaico: Literature-Extracted Genetic Variants

Gene:BRCA2
Variant:p.G2793E
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BRCA2

NM_000059.4:p.G2793E

Associated Papers

Estimating Cancer Penetrance in Carriers of BRCA2 Pathogenic Variants Using Cancer-Specific Polygenic Scores.

Prassas B et al.

Cancer Medicine, 2025

40462315 (PubMed )
Supplement: CAM4-14-e70990-s001.xlsx › sTable_1

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_S4C

Comprehensive Clinical Genetics, Molecular and Pathological Evaluation Efficiently Assist Diagnostics and Therapy Selection in Breast Cancer Patients with Hereditary Genetic Background.

Nagy P et al.

International Journal of Molecular Sciences, 2024

Scalable approaches for generating, validating and incorporating data from high-throughput functional assays to improve clinical variant classification.

Padigepati SR et al.

Human Genetics, 2024

39085601 (PubMed )
Supplement: 439_2024_2691_MOESM2_ESM.xlsx › BRCA2

All exons are not created equal-exon vulnerability determines the effect of exonic mutations on splicing.

Holm LL et al.

Nucleic Acids Research, 2024

38324470 (PubMed )
Supplement: gkae077_supplemental_files.zip › supplementary_tables.xlsx › Supplementary_table_S1_-_ESM_DB

Systematic review of reported association studies of monogenic genes and bladder cancer risk and confirmation analysis in a large population cohort.

Mian A et al.

Bjui Compass, 2023

36816149 (PubMed )
Supplement: BCO2-4-156-s001.xlsx › sTable_1

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

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

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

DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data.

Liu J et al.

Genome Medicine, 2022

35209950 (PubMed )
Supplement: 13073_2022_1027_MOESM22_ESM.xls › Sheet1

Role of Splicing Regulatory Elements and In Silico Tools Usage in the Identification of Deep Intronic Splicing Variants in Hereditary Breast/Ovarian Cancer Genes.

Moles-Fernández A et al.

Cancers, 2021

34283047 (PubMed )
Supplement: cancers-13-03341-s001.zip › 2_Supplementary_table_S2A_2B.xlsx › Suppl_Table_2A

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

Application of Multilayer Evidence for Annotation of C-Terminal BRCA2 Variants.

Butz H et al.

Cancers, 2021

Cancer Variant Interpretation Group UK (CanVIG-UK): an exemplar national subspecialty multidisciplinary network.

Garrett A et al.

Journal of Medical Genetics, 2020

32170000 (PubMed )
Supplement: jmedgenet-2019-106759supp002.pdf

A plugin for the Ensembl Variant Effect Predictor that uses MaxEntScan to predict variant spliceogenicity.

Shamsani J et al.

Bioinformatics (oxford, England), 2019

30475984 (PubMed )
Supplement: bty960_supplementary_data.zip › bty960-Suppl_data › Supplementary_Table_S1.xlsx › Sheet5

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

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

Guidugli L et al.

American Journal of Human Genetics, 2018

Naturally occurring BRCA2 alternative mRNA splicing events in clinically relevant samples.

Fackenthal JD et al.

Journal of Medical Genetics, 2016

Functional classification of BRCA2 DNA variants by splicing assays in a large minigene with 9 exons.

Acedo A et al.

Human Mutation, 2015

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

Guidugli L et al.

Human Mutation, 2014

MutPred Splice: machine learning-based prediction of exonic variants that disrupt splicing.

Mort M et al.

Genome Biology, 2014

24451234 (PubMed )
Supplement: gb-2014-15-1-r19-S1.pdf

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

Guidugli L et al.

Cancer Research, 2013

Comprehensive splicing functional analysis of DNA variants of the BRCA2 gene by hybrid minigenes.

Acedo A et al.

Breast Cancer Research : Bcr, 2012

Classifying Variants of Undetermined Significance in BRCA2 with protein likelihood ratios.

Karchin R et al.

Cancer Informatics, 2008

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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."