Varaico: Literature-Extracted Genetic Variants

Gene:BRCA1
Variant:p.A1823Splc
Back to variants list

BRCA1

NM_007294.4:p.A1823Splc

Associated Papers

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

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

Sequencing of BRCA1/2-alterations using NGS-based technology: annotation as a challenge.

Ebner S et al.

Oncotarget, 2022

Tumor Signature Analysis Implicates Hereditary Cancer Genes in Endometrial Cancer Development.

Kondrashova O et al.

Cancers, 2021

33917078 (PubMed )
Supplement: cancers-13-01762-s001.zip › Kondrashova_etal_Supp_Tables.xlsx › Table_S5

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

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_S1

Exome sequencing covers >98% of mutations identified on targeted next generation sequencing panels.

LaDuca H et al.

Plos One, 2017

28152038 (PubMed )
Supplement: pone.0170843.s003.xlsx › S3_Table

Splicing analysis of 14 BRCA1 missense variants classifies nine variants as pathogenic.

Ahlborn LB et al.

Breast Cancer Research and Treatment, 2015

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
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."