Varaico: Literature-Extracted Genetic Variants

Gene:BRCA1
Variant:p.S186Y
Back to variants list

BRCA1

NM_007294.4:p.S186Y

Associated Papers

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

Proteome-scale characterisation of motif-based interactome rewiring by disease mutations.

Kliche J et al.

Molecular Systems Biology, 2024

39009827 (PubMed )
Supplement: 44320_2024_55_MOESM5_ESM.xlsx › A-binding_peptides

All exons are not created equal-exon vulnerability determines the effect of exonic mutations on splicing.

Holm LL et al.

Nucleic Acids Research, 2024

38324470 (PubMed )
Supplement: gkae077_supplemental_files.zip › supplementary_tables.xlsx › Supplementary_table_S1_-_ESM_DB

Deleterious and ethnic-related BRCA1/2 mutations in tissue and blood of Egyptian colorectal cancer patients and its correlation with human papillomavirus.

Youssef ASE et al.

Clinical and Experimental Medicine, 2023

DNA repair function scores for 2172 variants in the BRCA1 amino-terminus.

Diabate M et al.

Plos Genetics, 2023

37578980 (PubMed )
Supplement: pgen.1010739.s010.xlsx › Sheet1

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 › BRCA1

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

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

Familial history and prevalence of BRCA1, BRCA2 and TP53 pathogenic variants in HBOC Brazilian patients from a public healthcare service.

Matta BP et al.

Scientific Reports, 2022

36329109 (PubMed )
Supplement: 41598_2022_23012_MOESM2_ESM.xlsx › Supplementary_Table_S2_

BRCA1 Norway: comparison of classification for BRCA1 germline variants detected in families with suspected hereditary breast and ovarian cancer between different laboratories.

Hovland HN et al.

Familial Cancer, 2022

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

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

BRCA1/ATF1-Mediated Transactivation is Involved in Resistance to PARP Inhibitors and Cisplatin.

Endo S et al.

Cancer Research Communications, 2021

36860287 (PubMed )
Supplement: crc-21-0064-s02.pdf

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

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

Characterization of Synonymous BRCA1:c.132C>T as a Pathogenic Variant.

Li J et al.

Frontiers in Oncology, 2021

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

Insights Into the Somatic Mutation Burden of Hepatoblastomas From Brazilian Patients.

Aguiar TFM et al.

Frontiers in Oncology, 2020

32432034 (PubMed )
Supplement: Table_6.XLSX › HB33

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

Analysis of the pathogenic variants of BRCA1 and BRCA2 using next-generation sequencing in women with familial breast cancer: a case-control study.

Zayas-Villanueva OA et al.

Bmc Cancer, 2019

31331294 (PubMed )
Supplement: 12885_2019_5950_MOESM1_ESM.xlsx › hereditary

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 › Sheet5

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

Finding driver mutations in cancer: Elucidating the role of background mutational processes.

Brown AL et al.

Plos Computational Biology, 2019

31034466 (PubMed )
Supplement: pcbi.1006981.s010.xlsx › final_benchmark

Population and breast cancer patients' analysis reveals the diversity of genomic variation of the BRCA genes in the Mexican population.

Fernández-Lopez JC et al.

Human Genomics, 2019

30630528 (PubMed )
Supplement: 40246_2018_188_MOESM2_ESM.xlsx › Hoja1

A research-based gene panel to investigate breast, ovarian and prostate cancer genetic risk.

Bishop MR et al.

Plos One, 2019

Rare germline mutations in African American men diagnosed with early-onset prostate cancer.

Beebe-Dimmer JL et al.

The Prostate, 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

Computational Tools for Splicing Defect Prediction in Breast/Ovarian Cancer Genes: How Efficient Are They at Predicting RNA Alterations?

Moles-Fernández A et al.

Frontiers in Genetics, 2018

Genetics of breast cancer in African populations: a literature review.

Abbad A et al.

Global Health, Epidemiology and Genomics, 2018

Germline mutations in BRCA1 and BRCA2 in epithelial ovarian cancer patients in Brazil.

Maistro S et al.

Bmc Cancer, 2016

27914478 (PubMed )
Supplement: 12885_2016_2966_MOESM1_ESM.zip › Additional_tables.xlsx › TableS2

Integrated tumor and germline whole-exome sequencing identifies mutations in MAPK and PI3K pathway genes in an adolescent with rosette-forming glioneuronal tumor of the fourth ventricle.

Lin FY et al.

Cold Spring Harbor Molecular Case Studies, 2016

27626068 (PubMed )
Supplement: supp_mcs.a001057_Supplemental_Tables_1-2.pdf

Patterns and functional implications of rare germline variants across 12 cancer types.

Lu C et al.

Nature Communications, 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

Identification of Medically Actionable Secondary Findings in the 1000 Genomes.

Olfson E et al.

Plos One, 2015

26332594 (PubMed )
Supplement: pone.0135193.s002.xls › Sheet1

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

BRCA1 point mutations in premenopausal breast cancer patients from Central Sudan.

Biunno I et al.

Familial Cancer, 2014

MutPred Splice: machine learning-based prediction of exonic variants that disrupt splicing.

Mort M et al.

Genome Biology, 2014

24451234 (PubMed )
Supplement: gb-2014-15-1-r19-S1.pdf

Germline variation in cancer-susceptibility genes in a healthy, ancestrally diverse cohort: implications for individual genome sequencing.

Bodian DL et al.

Plos One, 2014

24728327 (PubMed )
Supplement: pone.0094554.s002.xlsx › Table_S1

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

Bouwman P et al.

Cancer Discovery, 2013

1–50 of 66 papers
Select a paper to view details
UCSC Genome Browser·Imprint·Privacy·Terms·Feedback·Email Updates·

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."