Varaico: Literature-Extracted Genetic Variants

Gene:BRCA2
Variant:p.E3167_N3168Splc
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BRCA2

NM_000059.4:p.E3167_N3168Splc

Associated Papers

Functional evaluation and clinical classification of BRCA2 variants.

Huang H et al.

Nature, 2025

39779857 (PubMed )
Supplement: 41586_2024_8388_MOESM3_ESM.xlsx › Table_S8

SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion.

Canson DM et al.

Bioinformatics (oxford, England), 2023

37021934 (PubMed )
Supplement: btad179_supplementary_data.zip › SAI10kcalc_supp_tables_final.xlsx › S1.variants

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

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

Comparison of In Silico Tools for Splice-Altering Variant Prediction Using Established Spliceogenic Variants: An End-User's Point of View.

Jang W et al.

International Journal of Genomics, 2022

36275637 (PubMed )
Supplement: 5265686.f1.docx

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

Incorporation of semi-quantitative analysis of splicing alterations for the clinical interpretation of variants in BRCA1 and BRCA2 genes.

Montalban G et al.

Human Mutation, 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

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

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 › Sheet1

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_4

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

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

30233647 (PubMed )
Supplement: Table_1.XLSX › Supplem_Table_6

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

Acedo A et al.

Human Mutation, 2015

25382762 (PubMed )
Supplement: humu0036-0210-sd1.pdf

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

Evaluation of a 5-tier scheme proposed for classification of sequence variants using bioinformatic and splicing assay data: inter-reviewer variability and promotion of minimum reporting guidelines.

Walker LC et al.

Human Mutation, 2013

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

Splicing and multifactorial analysis of intronic BRCA1 and BRCA2 sequence variants identifies clinically significant splicing aberrations up to 12 nucleotides from the intron/exon boundary.

Whiley PJ et al.

Human Mutation, 2011

RNA-based analysis of BRCA1 and BRCA2 gene alterations.

Bonatti F et al.

Cancer Genetics and Cytogenetics, 2006

RNA analysis of eight BRCA1 and BRCA2 unclassified variants identified in breast/ovarian cancer families from Spain.

Campos B et al.

Human Mutation, 2003

Differentiating pathogenic mutations from polymorphic alterations in the splice sites of BRCA1 and BRCA2.

Claes K et al.

Genes, Chromosomes & Cancer, 2003

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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."