Varaico: Literature-Extracted Genetic Variants

Gene:BRCA1
Variant:p.R1589H
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BRCA1

NM_007294.4:p.R1589H

Associated Papers

Functional characterization of BRCA1 variants of unknown significance using homologous recombination repair assays.

Martín-Bejarano P et al.

Breast Cancer Research : Bcr, 2025

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

Reinterpretation of Conflicting ClinVar BRCA1 Missense Variants Using VarSome and CanVIG-UK Gene-Specific Guidance.

So MK et al.

Diagnostics (basel, Switzerland), 2024

BRCA1 frameshift variants leading to extended incorrect protein C termini.

Nepomuceno TC et al.

Hgg Advances, 2023

37718511 (PubMed )
Supplement: mmc1.pdf

SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion.

Canson DM et al.

Bioinformatics (oxford, England), 2023

37021934 (PubMed )
Supplement: btad179_supplementary_data.zip › SAI10kcalc_supp_tables_final.xlsx › S1.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

Multi-gene panel testing and association analysis in Cypriot breast cancer cases and controls.

Zanti M et al.

Frontiers in Genetics, 2023

37790698 (PubMed )
Supplement: DataSheet1.xlsx › Table_S2

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

Prognostic value of baseline genetic features and newly identified TP53 mutations in advanced breast cancer.

Zhang L et al.

Molecular Oncology, 2022

35971249 (PubMed )
Supplement: MOL2-16-3689-s005.xlsx › Table_S3

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

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

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

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

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 › Momozawa_et_al.

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

Germline Pathogenic Variants in 7636 Japanese Patients With Prostate Cancer and 12 366 Controls.

Momozawa Y et al.

Journal of the National Cancer Institute, 2020

31214711 (PubMed )
Supplement: djz124_supplementary_data.zip › djz124-Suppl_Data › Supplementary_Tables_5_and_6_060619.xlsx › Supplementary_Table_6

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

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 › BRCA1_ethnic_source_

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 › Sheet1

Complex Landscape of Germline Variants in Brazilian Patients With Hereditary and Early Onset Breast Cancer.

Torrezan GT et al.

Frontiers in 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

In silico, in vitro and case-control analyses as an effective combination for analyzing BRCA1 and BRCA2 unclassified variants in a population-based sample.

Rodríguez-Balada M et al.

Cancer Genetics, 2016

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

BRCA1 Circos: a visualisation resource for functional analysis of missense variants.

Jhuraney A et al.

Journal of Medical Genetics, 2015

25643705 (PubMed )
Supplement: jmedgenet-2014-102766-s1.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

Functional and structural analysis of C-terminal BRCA1 missense variants.

Quiles F et al.

Plos One, 2013

Assessing the RNA effect of 26 DNA variants in the BRCA1 and BRCA2 genes.

Menéndez M et al.

Breast Cancer Research and Treatment, 2012

Non-founder BRCA1 mutations in Russian breast cancer patients.

Iyevleva AG et al.

Cancer Letters, 2010

Analysis of missense variation in human BRCA1 in the context of interspecific sequence variation.

Abkevich V et al.

Journal of Medical Genetics, 2004

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