Varaico: Literature-Extracted Genetic Variants

Gene:BRCA1
Variant:p.W1837G
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BRCA1

NM_007294.4:p.W1837G

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

Profiling BRCA1-BRCT interactions and their functional relevance at amino acid resolution.

Mangkusaputra V et al.

Nucleic Acids Research, 2025

Alterations in the expression of homologous recombination repair (HRR) genes in breast cancer tissues considering germline BRCA1/2 mutation status.

Laczmanska I et al.

Breast Cancer Research and Treatment, 2024

Spectrum of germline pathogenic variants in Brazilian hereditary breast/ovarian cancer cases.

Faria JP et al.

Breast Cancer Research and Treatment, 2024

Scalable approaches for generating, validating and incorporating data from high-throughput functional assays to improve clinical variant classification.

Padigepati SR et al.

Human Genetics, 2024

39085601 (PubMed )
Supplement: 439_2024_2691_MOESM2_ESM.xlsx › BRCA1

Inter-BRCT linker is probably the most intolerant region of the BRCA1 BRCT domain.

Yadegari F et al.

Journal of Biomolecular Structure & Dynamics, 2024

Protein-folding chaperones predict structure-function relationships and cancer risk in BRCA1 mutation carriers.

Gracia B et al.

Cell Reports, 2024

38368609 (PubMed )
Supplement: NIHMS1970903-supplement-3.xlsx › Table_S2

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

Protein domains provide a new layer of information for classifying human variations in rare diseases.

Corcuff M et al.

Frontiers in Bioinformatics, 2023

36896423 (PubMed )
Supplement: Table1.XLSX › Supplementary_Table_1

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

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_S3.xlsx › BRCA1_Dataset

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

Serial monitoring of genomic alterations in circulating tumor cells of ER-positive/HER2-negative advanced breast cancer: feasibility of precision oncology biomarker detection.

Cani AK et al.

Molecular Oncology, 2022

34866317 (PubMed )
Supplement: MOL2-16-1969-s001.pdf

Human BRCA pathogenic variants were originated during recent human history.

Li J et al.

Life Science Alliance, 2022

35165121 (PubMed )
Supplement: LSA-2021-01263_TableS2.xlsx › BRCA1

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

Detection of BRCA1/2 pathogenic variants in patients with breast and/or ovarian cancer and their families. Analysis of 3,458 cases from Lower Silesia (Poland) according to the diagnostic algorithm of the National Cancer Control Programme.

Doraczynska-Kowalik A et al.

Frontiers in Genetics, 2022

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_4.xlsx › Sheet1

Clinical phenotypes combined with saturation genome editing identifying the pathogenicity of BRCA1 variants of uncertain significance in breast cancer.

Wan Q et al.

Familial Cancer, 2021

Targeted Therapy of Papillary Thyroid Cancer: A Comprehensive Genomic Analysis.

Hescheler DA et al.

Frontiers in Endocrinology, 2021

34630336 (PubMed )
Supplement: Table_1.xlsx › Tab2

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 › 1._Used_in_analysis

In silico analysis for determining the deleterious nonsynonymous single nucleotide polymorphisms of BRCA genes.

Yadegari F et al.

Molecular Biology Research Communications, 2019

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_

Combining Homologous Recombination and Phosphopeptide-binding Data to Predict the Impact of BRCA1 BRCT Variants on Cancer Risk.

Petitalot A et al.

Molecular Cancer Research : Mcr, 2019

Accurate classification of BRCA1 variants with saturation genome editing.

Findlay GM et al.

Nature, 2018

30209399 (PubMed )
Supplement: NIHMS1501643-supplement-3.xlsx › Conflicting_interpretations

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 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

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

Toward classification of BRCA1 missense variants using a biophysical approach.

Rowling PJ et al.

The Journal of Biological Chemistry, 2010

Comprehensive analysis of missense variations in the BRCT domain of BRCA1 by structural and functional assays.

Lee MS et al.

Cancer Research, 2010

Insights into the molecular basis of human hereditary breast cancer from studies of the BRCA1 BRCT domain.

Glover JN

Familial Cancer, 2006

Application of embryonic lethal or other obvious phenotypes to characterize the clinical significance of genetic variants found in trans with known deleterious mutations.

Judkins T et al.

Cancer Research, 2005

Solution structure, backbone dynamics, and association behavior of the C-terminal BRCT domain from the breast cancer-associated protein BRCA1.

Gaiser OJ et al.

Biochemistry, 2004

Structure-based assessment of missense mutations in human BRCA1: implications for breast and ovarian cancer predisposition.

Mirkovic N et al.

Cancer Research, 2004

Structural basis of phosphopeptide recognition by the BRCT domain of BRCA1.

Williams RS et al.

Nature Structural & Molecular Biology, 2004

Detection of protein folding defects caused by BRCA1-BRCT truncation and missense mutations.

Williams RS et al.

The Journal of Biological Chemistry, 2003

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