Varaico: Literature-Extracted Genetic Variants

Gene:BRCA1
Variant:p.R1443G
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BRCA1

NM_007294.4:p.R1443G

Associated Papers

The Causal Pivot: A structural approach to genetic heterogeneity and variant discovery in complex diseases.

Shaw CA et al.

American Journal of Human Genetics, 2025

40829599 (PubMed )
Supplement: mmc2.xlsx › Annotations

Multicenter In-House Evaluation of an Amplicon-Based Next-Generation Sequencing Panel for Comprehensive Molecular Profiling.

Jantus-Lewintre E et al.

Molecular Diagnosis & Therapy, 2025

39798063 (PubMed )
Supplement: 40291_2024_766_MOESM2_ESM.xlsx › S1c-Control_D_2_HD827

VarMeter2: An enhanced structure-based method for predicting pathogenic missense variants through Mahalanobis distance.

Ohno S et al.

Computational and Structural Biotechnology Journal, 2025

40160862 (PubMed )
Supplement: mmc2.xlsx › Sheet1

Longitudinal profiling identifies co-occurring BRCA1/2 reversions, TP53BP1, RIF1 and PAXIP1 mutations in PARP inhibitor-resistant advanced breast cancer.

Harvey-Jones E et al.

Annals of Oncology : Official Journal of the European Society for Medical Oncology, 2024

BRCA1 frameshift variants leading to extended incorrect protein C termini.

Nepomuceno TC et al.

Hgg Advances, 2023

37718511 (PubMed )
Supplement: mmc1.pdf

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

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

Assessment of small in-frame indels and C-terminal nonsense variants of BRCA1 using a validated functional assay.

Nepomuceno TC et al.

Scientific Reports, 2022

36171434 (PubMed )
Supplement: 41598_2022_20500_MOESM1_ESM.pdf

Correction to: In-Silico analyses of Nonsynonymous Variants in the BRCA1 Gene.

Arshad S et al.

Biochemical Genetics, 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 › BRCA1_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_S15

Variomes: a high recall search engine to support the curation of genomic variants.

Pasche E et al.

Bioinformatics (oxford, England), 2022

In-Silico Analyses of Nonsynonymous Variants in the BRCA1 Gene.

Arshad S et al.

Biochemical Genetics, 2021

Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.

Reza MN et al.

Scientific Reports, 2021

34584144 (PubMed )
Supplement: 41598_2021_98547_MOESM1_ESM.zip › Supplementary_files-5-8-21 › Supplementary_file_1.xlsx › Sheet1

Towards a New, Endophenotype-Based Strategy for Pathogenicity Prediction in BRCA1 and BRCA2: In Silico Modeling of the Outcome of HDR/SGE Assays for Missense Variants.

Özkan S et al.

International Journal of Molecular Sciences, 2021

34207612 (PubMed )
Supplement: ijms-22-06226-s001.zip › SUPP_FIGURES_TABLES › SupplementaryTable4.xlsx › supp_table4

BRCA1 Mutational Complementation Induces Synthetic Viability.

Nacson J et al.

Molecular Cell, 2020

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

Systematic misclassification of missense variants in BRCA1 and BRCA2 "coldspots".

Dines JN et al.

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

31911673 (PubMed )
Supplement: 41436_2019_740_MOESM2_ESM.xlsx › 2._Full_includes_CIP_and_0_star

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

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_2

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

A Bayesian framework for efficient and accurate variant prediction.

Qian D et al.

Plos One, 2018

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

Sources of discordance among germ-line variant classifications in ClinVar.

Yang S et al.

Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2017

Prediction of breast cancer risk based on flow-variant analysis of circulating peripheral blood B cells.

Syeda MM et al.

Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2017

Amplification of overlapping DNA amplicons in a single-tube multiplex PCR for targeted next-generation sequencing of BRCA1 and BRCA2.

Schenk D et al.

Plos One, 2017

28704513 (PubMed )
Supplement: pone.0181062.s004.xlsx › S4_Table

Simultaneous detection of BRCA mutations and large genomic rearrangements in germline DNA and FFPE tumor samples.

Enyedi et al.

Oncotarget, 2016

Design and validation of a next generation sequencing assay for hereditary BRCA1 and BRCA2 mutation testing.

Kang HP et al.

Peerj, 2016

27375968 (PubMed )
Supplement: peerj-04-2162-s004.xlsx › Sheet1

Functional assays provide a robust tool for the clinical annotation of genetic variants of uncertain significance.

Woods NT et al.

Npj Genomic Medicine, 2016

28781887 (PubMed )
Supplement: npjgenmed20161-s1.pdf

Functional variant analyses (FVAs) predict pathogenicity in the BRCA1 DNA double-strand break repair pathway.

Loke J et al.

Human Molecular Genetics, 2015

Next-generation sequencing of the BRCA1 and BRCA2 genes for the genetic diagnostics of hereditary breast and/or ovarian cancer.

Trujillano D et al.

The Journal of Molecular Diagnostics : Jmd, 2015

Development and Validation of a Next-Generation Sequencing Assay for BRCA1 and BRCA2 Variants for the Clinical Laboratory.

Strom CM et al.

Plos One, 2015

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

Probing structure-function relationships in missense variants in the carboxy-terminal region of BRCA1.

Carvalho RS et al.

Plos One, 2014

24845084 (PubMed )
Supplement: pone.0097766.s001.xlsx › Supplementary_Materials_1

A high-throughput functional complementation assay for classification of BRCA1 missense variants.

Bouwman P et al.

Cancer Discovery, 2013

A guide for functional analysis of BRCA1 variants of uncertain significance.

Millot GA et al.

Human Mutation, 2012

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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."