Varaico: Literature-Extracted Genetic Variants

Gene:BRCA2
Variant:p.S2691F
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BRCA2

NM_000059.4:p.S2691F

Associated Papers

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

Genomic analysis of plasma circulating tumor DNA in patients with heavily pretreated HER2 + metastatic breast cancer.

Lee K et al.

Scientific Reports, 2023

37336919 (PubMed )
Supplement: 41598_2023_35925_MOESM1_ESM.xlsx › Table_S4__patho_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

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

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

Saturation variant interpretation using CRISPR prime editing.

Erwood S et al.

Nature Biotechnology, 2022

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

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

Biswas K et al.

Npj Genomic Medicine, 2020

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_

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

Minigene Splicing Assays Identify 12 Spliceogenic Variants of BRCA2 Exons 14 and 15.

Fraile-Bethencourt E et al.

Frontiers in Genetics, 2019

Tumor-derived DNA from pleural effusion supernatant as a promising alternative to tumor tissue in genomic profiling of advanced lung cancer.

Tong L et al.

Theranostics, 2019

31534501 (PubMed )
Supplement: thnov09p5532s1.pdf

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

Guidugli L et al.

American Journal of Human Genetics, 2018

Functional classification of DNA variants by hybrid minigenes: Identification of 30 spliceogenic variants of BRCA2 exons 17 and 18.

Fraile-Bethencourt E et al.

Plos Genetics, 2017

New paradigms for BRCA1/BRCA2 testing in women with ovarian cancer: results of the Genetic Testing in Epithelial Ovarian Cancer (GTEOC) study.

Plaskocinska I et al.

Journal of Medical Genetics, 2016

27208206 (PubMed )
Supplement: jmedgenet-2016-103902supp.pdf

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

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

Karchin R et al.

Cancer Informatics, 2008

19043619 (PubMed )
Supplement: cin-6-0203-s1.pdf
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