Varaico: Literature-Extracted Genetic Variants

Gene:BRCA1
Variant:p.R866H
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BRCA1

NM_007294.4:p.R866H

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

The review of genetic screening services and common BRCA1/2 variants among South African breast cancer patients.

Makhetha M et al.

Journal of Genetic Counseling, 2024

Exploring Co-occurring POLE Exonuclease and Non-exonuclease Domain Mutations and Their Impact on Tumor Mutagenicity.

Shah SM et al.

Cancer Research Communications, 2024

38282550 (PubMed )
Supplement: crc-23-0312-s02.xlsx › Fig3B_EC_data

Determination of genetic predisposition to early breast cancer in women of Kazakh ethnicity.

Zhunussova G et al.

Oncotarget, 2023

37791908 (PubMed )
Supplement: oncotarget-14-28518-s004.xlsx › Supplementary_Table_3

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

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-s009.xlsx › Benign

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

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

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

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

Detection of germline variants in Brazilian breast cancer patients using multigene panel testing.

Guindalini RSC et al.

Scientific Reports, 2022

35264596 (PubMed )
Supplement: 41598_2022_7383_MOESM3_ESM.xlsx › Planilha1

Prevalence of Clinically Relevant Germline BRCA Variants in a Large Unselected South African Breast and Ovarian Cancer Cohort: A Public Sector Experience.

Van der Merwe NC 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_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

Classification of variants of uncertain significance in BRCA1 and BRCA2 using personal and family history of cancer from individuals in a large hereditary cancer multigene panel testing cohort.

Li H et al.

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

31853058 (PubMed )
Supplement: 41436_2019_729_MOESM2_ESM.xls › Sheet1

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

Inherited mutations in BRCA1 and BRCA2 in an unselected multiethnic cohort of Asian patients with breast cancer and healthy controls from Malaysia.

Wen WX et al.

Journal of Medical Genetics, 2018

28993434 (PubMed )
Supplement: jmedgenet-2017-104947supp001.pdf

New recurrent BRCA1/2 mutations in Polish patients with familial breast/ovarian cancer detected by next generation sequencing.

Kluska A et al.

Bmc Medical Genomics, 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

Clinical characteristics of ovarian cancer classified by BRCA1, BRCA2, and RAD51C status.

Cunningham JM et al.

Scientific Reports, 2014

24504028 (PubMed )
Supplement: srep04026-s1.pdf
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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."