Varaico: Literature-Extracted Genetic Variants

Gene:BRCA1
Variant:p.F1662_M1663Splc
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BRCA1

NM_007294.4:p.F1662_M1663Splc

Associated Papers

Using multiplexed functional data to reduce variant classification inequities in underrepresented populations.

Dawood M et al.

Genome Medicine, 2024

39627863 (PubMed )
Supplement: 13073_2024_1392_MOESM1_ESM.xlsx › Table_S18

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_MOESM6_ESM.xlsx › BRCA1

Systematic review of the molecular basis of hereditary breast and ovarian cancer syndrome in Brazil: the current scenario.

de Freitas Ribeiro AA et al.

European Journal of Medical Research, 2024

38504328 (PubMed )
Supplement: 40001_2024_1767_MOESM1_ESM.xlsx › BRCA1

Challenges in periodic revision of genetic testing results: Comparison of the main classification guidelines and report of a retrospective analysis involving BRCA1/BRCA2 variants of uncertain significance.

Andreis TF et al.

Gene, 2023

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

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

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

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_S2

The germline mutational landscape of BRCA1 and BRCA2 in Brazil.

Palmero EI et al.

Scientific Reports, 2018

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

BRCA1 and BRCA2 mutational profile and prevalence in hereditary breast and ovarian cancer (HBOC) probands from Southern Brazil: Are international testing criteria appropriate for this specific population?

Alemar B et al.

Plos One, 2017

29161300 (PubMed )
Supplement: pone.0187630.s002.xlsx › Sup_Tab_2

The dark matter of the cancer genome: aberrations in regulatory elements, untranslated regions, splice sites, non-coding RNA and synonymous mutations.

Diederichs S et al.

Embo Molecular Medicine, 2016

26992833 (PubMed )
Supplement: EMMM-8-442-s002.docx

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

BRCA1 c.4987-3C>G is a pathogenic mutation.

Brandão RD et al.

Breast Cancer Research and Treatment, 2012

Characterisation of unclassified variants in the BRCA1/2 genes with a putative effect on splicing.

Brandão RD et al.

Breast Cancer Research and Treatment, 2011

Efficiency of BRCAPRO and Myriad II mutation probability thresholds versus cancer history criteria alone for BRCA1/2 mutation detection.

van Harssel JJ et al.

Familial Cancer, 2010

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