Associated Papers
Germline BRCA1/2 status and chemotherapy response score in high-grade serous ovarian cancer.
Morgan RD et al.
British Journal of Cancer, 2024
39550490 (PubMed )
Supplement: 41416_2024_2874_MOESM10_ESM.xlsx › Supplementary_Table_S2
Germline mutations of 4567 patients with hereditary breast-ovarian cancer spectrum in Thailand.
Kansuttiviwat C et al.
Npj Genomic Medicine, 2024
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
SpliceVault predicts the precise nature of variant-associated mis-splicing.
Dawes R et al.
Nature Genetics, 2023
36747048 (PubMed )
Supplement: 41588_2022_1293_MOESM3_ESM.xlsx › Table_2_RNA_studies__n_58_
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
Comparison of in silico strategies to prioritize rare genomic variants impacting RNA splicing for the diagnosis of genomic disorders.
Rowlands C et al.
Scientific Reports, 2021
34663891 (PubMed )
Supplement: 41598_2021_99747_MOESM2_ESM.xlsx › Table-S1-modified
Cancer Variant Interpretation Group UK (CanVIG-UK): an exemplar national subspecialty multidisciplinary network.
Garrett A et al.
Journal of Medical Genetics, 2020
32170000 (PubMed )
Supplement: jmedgenet-2019-106759supp002.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
Blood RNA analysis can increase clinical diagnostic rate and resolve variants of uncertain significance.
Wai HA et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2020
32123317 (PubMed )
Supplement: 41436_2020_766_MOESM3_ESM.xlsx › Variant_summary
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
Rapid reversal of clinical down-classification of a BRCA1 splicing variant avoiding psychological harm.
Smith MJ et al.
Clinical Genetics, 2019
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
Germline BRCA mutation and outcome in young-onset breast cancer (POSH): a prospective cohort study.
Copson ER et al.
The Lancet. Oncology, 2018
29337092 (PubMed )
Supplement: mmc1.pdf
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_6
Evaluation of Bioinformatic Programmes for the Analysis of Variants within Splice Site Consensus Regions.
Tang R et al.
Advances in Bioinformatics, 2016
27313609 (PubMed )
Supplement: 5614058.f1.pdf
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
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