Varaico: Literature-Extracted Genetic Variants

Gene:BRCA1
Variant:p.C27Splc
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BRCA1

NM_007294.4:p.C27Splc

Associated Papers

Hidden splice variants in inborn errors of immunity: Uncovering diagnoses and therapeutic targets.

Ochoa S et al.

The Journal of Allergy and Clinical Immunology, 2025

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-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

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

Distinct landscapes of deleterious variants in DNA damage repair system in ethnic human populations.

Qin Z et al.

Life Science Alliance, 2022

35595529 (PubMed )
Supplement: LSA-2021-01319_TableS3.xlsx › S3A

BRCA1 and Breast Cancer: Molecular Mechanisms and Therapeutic Strategies.

Fu X et al.

Frontiers in Cell and Developmental Biology, 2022

35300412 (PubMed )
Supplement: DataSheet1.xlsx › Sheet1

A Population-Based Analysis of BRCA1/2 Genes and Associated Breast and Ovarian Cancer Risk in Korean Patients: A Multicenter Cohort Study.

Park KS et al.

Cancers, 2021

Analysis of BRCA1/2 variants of unknown significance in the prospective Korean Hereditary Breast Cancer study.

Kim JH et al.

Scientific Reports, 2021

Reclassification of BRCA1 and BRCA2 variants found in ovarian epithelial, fallopian tube, and primary peritoneal cancers.

Ha HI et al.

Journal of Gynecologic Oncology, 2020

Impact of proactive high-throughput functional assay data on BRCA1 variant interpretation in 3684 patients with breast or ovarian cancer.

Kim HK et al.

Journal of Human Genetics, 2020

Splicing profile by capture RNA-seq identifies pathogenic germline variants in tumor suppressor genes.

Landrith T et al.

Npj Precision Oncology, 2020

Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification.

Parsons MT et al.

Human Mutation, 2019

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

Reclassification of BRCA1 and BRCA2 variants of uncertain significance: a multifactorial analysis of multicentre prospective cohort.

Lee JS et al.

Journal of Medical Genetics, 2018

Corrigendum: Novel diagnostic tool for prediction of variant spliceogenicity derived from a set of 395 combined in silico/in vitro studies: an international collaborative effort.

Leman R et al.

Nucleic Acids Research, 2018

30321405 (PubMed )
Supplement: gky979_supplemental_files.zip › Corrigendum_supplementary_table.xlsx › AllData

Accurate classification of BRCA1 variants with saturation genome editing.

Findlay GM et al.

Nature, 2018

30209399 (PubMed )
Supplement: NIHMS1501643-supplement-2.xlsx › Sheet1

Novel diagnostic tool for prediction of variant spliceogenicity derived from a set of 395 combined in silico/in vitro studies: an international collaborative effort.

Leman R et al.

Nucleic Acids Research, 2018

29750258 (PubMed )
Supplement: gky372_supplemental_files.zip › SPiCE_table_supp.R2.xlsx › Table_S2

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

30233647 (PubMed )
Supplement: Table_1.XLSX › Supplem_Table_7

Interpretation of mRNA splicing mutations in genetic disease: review of the literature and guidelines for information-theoretical analysis.

Caminsky N et al.

F1000research, 2014

25717368 (PubMed )
Supplement: f1000research-3-6038-s0000.tgz › e0d3facd-5877-477e-9217-8c5aa68746f2_Supplementary-Tables-11112014.zip › Supplementary-Tables-and-Figures-11112014 › Supplementary_Table_10._Splicing_Mutation_Calculator_Source_Datav2.xlsx › Supplementary_Table_10

Prediction of BRCA2-association in hereditary breast carcinomas using array-CGH.

Joosse SA et al.

Breast Cancer Research and Treatment, 2012

Splicing and multifactorial analysis of intronic BRCA1 and BRCA2 sequence variants identifies clinically significant splicing aberrations up to 12 nucleotides from the intron/exon boundary.

Whiley PJ et al.

Human Mutation, 2011

BRCA1-mutated and basal-like breast cancers have similar aCGH profiles and a high incidence of protein truncating TP53 mutations.

Holstege H et al.

Bmc Cancer, 2010

Cross-species comparison of aCGH data from mouse and human BRCA1- and BRCA2-mutated breast cancers.

Holstege H et al.

Bmc Cancer, 2010

20735817 (PubMed )
Supplement: 1471-2407-10-455-S1.PDF

Pre-mRNA splicing aberrations and cancer.

Pettigrew CA et al.

Frontiers in Bioscience : a Journal and Virtual Library, 2008

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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."