Varaico: Literature-Extracted Genetic Variants

Gene:BRCA2
Variant:p.R174C
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BRCA2

NM_000059.4:p.R174C

Associated Papers

Classification of variants of reduced penetrance in high-penetrance cancer susceptibility genes: Framework for genetics clinicians and clinical scientists by CanVIG-UK (Cancer Variant Interpretation Group-UK).

Garrett A et al.

Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2025

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

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

36385461 (PubMed )
Supplement: IJC-152-1159-s005.xlsx › Chinese

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

Targeted Mutational Analysis of Circulating Tumor DNA to Decipher Temporal Heterogeneity of High-Grade Serous Ovarian Cancer.

Paracchini L et al.

Cancers, 2022

35954363 (PubMed )
Supplement: cancers-14-03697-s001.zip › cancers-1796307-supplementary › Supplementary › Supplementary_Table_S4.xlsx › Sheet1

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

The Features of BRCA1 and BRCA2 Germline Mutations in Hakka Ovarian Cancer Patients: BRCA1 C.536 A>T Maybe a Founder Mutation in This Population.

Luo Y et al.

International Journal of General Medicine, 2022

Analysis of single-nucleotide polymorphisms in genes associated with triple-negative breast cancer.

G V et al.

Frontiers in Genetics, 2022

36561320 (PubMed )
Supplement: Table3.xlsx › Sheet1

Comparison of in silico strategies to prioritize rare genomic variants impacting RNA splicing for the diagnosis of genomic disorders.

Rowlands C et al.

Scientific Reports, 2021

34663891 (PubMed )
Supplement: 41598_2021_99747_MOESM2_ESM.xlsx › Table-S1-modified

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

A Population-Based Analysis of BRCA1/2 Genes and Associated Breast and Ovarian Cancer Risk in Korean Patients: A Multicenter Cohort Study.

Park KS et al.

Cancers, 2021

34063308 (PubMed )
Supplement: cancers-13-02192-s001.zip › cancers-1174339-supplementary.xlsx › Table_S7

Targeted Therapy of Papillary Thyroid Cancer: A Comprehensive Genomic Analysis.

Hescheler DA et al.

Frontiers in Endocrinology, 2021

34630336 (PubMed )
Supplement: Table_1.xlsx › Tab2

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

Blood RNA analysis can increase clinical diagnostic rate and resolve variants of uncertain significance.

Wai HA et al.

Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2020

32123317 (PubMed )
Supplement: 41436_2020_766_MOESM3_ESM.xlsx › Variant_summary

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

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

31853058 (PubMed )
Supplement: 41436_2019_729_MOESM3_ESM.xls › Sheet1

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

Germline pathogenic variants of 11 breast cancer genes in 7,051 Japanese patients and 11,241 controls.

Momozawa Y et al.

Nature Communications, 2018

30287823 (PubMed )
Supplement: 41467_2018_6581_MOESM4_ESM.xlsx › SD1

Exonic Splicing Mutations Are More Prevalent than Currently Estimated and Can Be Predicted by Using In Silico Tools.

Soukarieh O et al.

Plos Genetics, 2016

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

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

Functional analysis of a large set of BRCA2 exon 7 variants highlights the predictive value of hexamer scores in detecting alterations of exonic splicing regulatory elements.

Di Giacomo D et al.

Human Mutation, 2013

Multiple sequence variants of BRCA2 exon 7 alter splicing regulation.

Gaildrat P et al.

Journal of Medical Genetics, 2012

Contribution of bioinformatics predictions and functional splicing assays to the interpretation of unclassified variants of the BRCA genes.

Théry JC et al.

European Journal of Human Genetics : Ejhg, 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."