Varaico: Literature-Extracted Genetic Variants

Gene:BRCA2
Variant:p.D2965H
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BRCA2

NM_000059.4:p.D2965H

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

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

Breast cancer risks associated with missense variants in breast cancer susceptibility genes.

Dorling L et al.

Genome Medicine, 2022

35585550 (PubMed )
Supplement: 13073_2022_1052_MOESM2_ESM.xlsx › Table_S16

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

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

33609447 (PubMed )
Supplement: mmc2.xlsx › Sheet1

Somatic and Germline BRCA 1 and 2 Mutations in Advanced NSCLC From the SAFIR02-Lung Trial.

Remon J et al.

Jto Clinical and Research Reports, 2020

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

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

Performance of in silico prediction tools for the classification of rare BRCA1/2 missense variants in clinical diagnostics.

Ernst C et al.

Bmc Medical Genomics, 2018

29580235 (PubMed )
Supplement: 12920_2018_353_MOESM1_ESM.xlsx › Classified_Variant_Set

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

Guidugli L et al.

American Journal of Human Genetics, 2018

A Bayesian framework for efficient and accurate variant prediction.

Qian D et al.

Plos One, 2018

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

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

Guidugli L et al.

Human Mutation, 2014

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

Guidugli L et al.

Cancer Research, 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

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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