Varaico: Literature-Extracted Genetic Variants

Gene:BRCA2
Variant:p.T3371A
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BRCA2

NM_000059.4:p.T3371A

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

Prevalence and spectrum of germline BRCA1 and BRCA2 mutations in multiethnic cohort of breast cancer patients in Brunei Darussalam.

Matusin SNI et al.

Plos One, 2025

40531958 (PubMed )
Supplement: pone.0312635.s005.xlsx › Sheet1

Study of sex-biased differences in genomic profiles in East Asian hepatocellular carcinoma.

Huang CY et al.

Discover Oncology, 2024

38981878 (PubMed )
Supplement: 12672_2024_1131_MOESM2_ESM.xlsx › Mutation

The evolutionary impact of childhood cancer on the human gene pool.

Stoltze UK et al.

Nature Communications, 2024

38424437 (PubMed )
Supplement: 41467_2024_45975_MOESM4_ESM.xlsx › Supplementary_Data_5

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-s002.xlsx › BRCA2

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

MARGINAL: An Automatic Classification of Variants in BRCA1 and BRCA2 Genes Using a Machine Learning Model.

Karalidou V et al.

Biomolecules, 2022

36358902 (PubMed )
Supplement: biomolecules-12-01552-s001.zip › final_annotation_file_CanVaS.xlsx › Sheet1

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

BRCA1 and BRCA2 Variation in Taiwanese General Population and the Cancer Cohort.

Chian J et al.

Frontiers in Molecular Biosciences, 2021

34235180 (PubMed )
Supplement: Table3.XLSX › BRCA2

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

TAPES: A tool for assessment and prioritisation in exome studies.

Xavier A et al.

Plos Computational Biology, 2019

31613886 (PubMed )
Supplement: pcbi.1007453.s002.xlsx › SoftVsPanel

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_

CharGer: clinical Characterization of Germline variants.

Scott AD et al.

Bioinformatics (oxford, England), 2019

30102335 (PubMed )
Supplement: bioinformatics_35_5_865_s4.xlsx › SupplTable2

A Bayesian framework for efficient and accurate variant prediction.

Qian D et al.

Plos One, 2018

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

Clinical Next-Generation Sequencing Pipeline Outperforms a Combined Approach Using Sanger Sequencing and Multiplex Ligation-Dependent Probe Amplification in Targeted Gene Panel Analysis.

Schenkel LC et al.

The Journal of Molecular Diagnostics : Jmd, 2016

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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."