Varaico: Literature-Extracted Genetic Variants

Gene:BRCA1
Variant:p.K1759_I1760Splc
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BRCA1

NM_007294.4:p.K1759_I1760Splc

Associated Papers

Featuring BRCA1 and BRCA2 germline mutational landscape from Asturias (North Spain).

Pitiot AS et al.

Clinical Genetics, 2024

Genetic Testing of Breast Cancer Patients with Very Early-Onset Breast Cancer (≤30 Years) Yields a High Rate of Germline Pathogenic Variants, Mainly in the BRCA1, TP53, and BRCA2 Genes.

Apostolou P et al.

Cancers, 2024

39001430 (PubMed )
Supplement: cancers-16-02368-s001.zip › cancers-3067616-supplementary.pdf

Using Portuguese BRCA pathogenic variation as a model to study the impact of human admixture on human health.

Andaluz S et al.

Bmc Genomics, 2024

38671360 (PubMed )
Supplement: 12864_2024_10311_MOESM2_ESM.xlsx › BRCA1

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-s005.xlsx › Chinese

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

Using species richness calculations to model the global profile of unsampled pathogenic variants: Examples from BRCA1 and BRCA2.

Rao ND et al.

Plos One, 2023

36753473 (PubMed )
Supplement: pone.0278010.s002.xlsx › Table_S1

MARGINAL: An Automatic Classification of Variants in BRCA1 and BRCA2 Genes Using a Machine Learning Model.

Karalidou V et al.

Biomolecules, 2022

36358902 (PubMed )
Supplement: biomolecules-12-01552-s001.zip › final_annotation_file_CanVaS.xlsx › Sheet1

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

DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data.

Liu J et al.

Genome Medicine, 2022

35209950 (PubMed )
Supplement: 13073_2022_1027_MOESM22_ESM.xls › Sheet1

Genetic Variants and Tumor Immune Microenvironment: Clues for Targeted Therapies in Inflammatory Breast Cancer (IBC).

Gong Y et al.

International Journal of Molecular Sciences, 2021

34445631 (PubMed )
Supplement: ijms-22-08924-s001.zip › Table_S1.pdf

Characterization of the Cancer Spectrum in Men With Germline BRCA1 and BRCA2 Pathogenic Variants: Results From the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA).

Silvestri V et al.

Jama Oncology, 2020

One in three highly selected Greek patients with breast cancer carries a loss-of-function variant in a cancer susceptibility gene.

Fostira F et al.

Journal of Medical Genetics, 2020

31300551 (PubMed )
Supplement: jmedgenet-2019-106189supp005.pdf

Tumor Testing for Somatic and Germline BRCA1/BRCA2 Variants in Ovarian Cancer Patients in the Context of Strong Founder Effects.

Peixoto A et al.

Frontiers in Oncology, 2020

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

The role of genomic profiling in adolescents and young adults (AYAs) with advanced cancer participating in phase I clinical trials.

McVeigh TP et al.

European Journal of Cancer (oxford, England : 1990), 2018

Characterization of mutations in BRCA1/2 and the relationship with clinic-pathological features of breast cancer in a hereditarily high-risk sample of chinese population.

Fang M et al.

Oncology Letters, 2018

GEMO, a National Resource to Study Genetic Modifiers of Breast and Ovarian Cancer Risk in BRCA1 and BRCA2 Pathogenic Variant Carriers.

Lesueur F et al.

Frontiers in Oncology, 2018

30430080 (PubMed )
Supplement: Table_2.XLSX › Supplementary_Table_2

Detection of false positive mutations in BRCA gene by next generation sequencing.

Suryavanshi M et al.

Familial Cancer, 2017

The role of targeted BRCA1/BRCA2 mutation analysis in hereditary breast/ovarian cancer families of Portuguese ancestry.

Peixoto A et al.

Clinical Genetics, 2015

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

Ahlborn LB et al.

Breast Cancer Research and Treatment, 2015

Achieving high-sensitivity for clinical applications using augmented exome sequencing.

Patwardhan A et al.

Genome Medicine, 2015

26269718 (PubMed )
Supplement: 13073_2015_197_MOESM8_ESM.xlsx › Sheet1

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

Analysis of 30 putative BRCA1 splicing mutations in hereditary breast and ovarian cancer families identifies exonic splice site mutations that escape in silico prediction.

Wappenschmidt B et al.

Plos One, 2012

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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."