Associated Papers
Synonymous and non-synonymous variants at splice junctions can disrupt splicing and are frequently linked to disease associated loss of function genes.
Srinivasan S et al.
Bmc Genomics, 2025
41436921 (PubMed )
Supplement: 12864_2025_12466_MOESM15_ESM.pdf
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.
Ahmad RM et al.
Briefings in Bioinformatics, 2025
41263939 (PubMed )
Supplement: supplementary_materials_bbaf611_1_.zip › Supplementary_materials_bbaf611 › Supplementary_Table_S8.xlsx › Sheet1
Protein-folding chaperones predict structure-function relationships and cancer risk in BRCA1 mutation carriers.
Gracia B et al.
Cell Reports, 2024
38368609 (PubMed )
Supplement: NIHMS1970903-supplement-5.xlsx › Table_S4
BRCA1 frameshift variants leading to extended incorrect protein C termini.
Nepomuceno TC et al.
Hgg Advances, 2023
37718511 (PubMed )
Supplement: mmc2.xlsx › Table_S3
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
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
Systematic misclassification of missense variants in BRCA1 and BRCA2 "coldspots".
Dines JN et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2020
31911673 (PubMed )
Supplement: 41436_2019_740_MOESM2_ESM.xlsx › 1._Used_in_analysis
Classification of VUS and unclassified variants in BRCA1 BRCT repeats by molecular dynamics simulation.
Sinha S et al.
Computational and Structural Biotechnology Journal, 2020
32257056 (PubMed )
Supplement: mmc1.xlsx › Sheet1
Estimating dispensable content in the human interactome.
Ghadie M et al.
Nature Communications, 2019
31324802 (PubMed )
Supplement: 41467_2019_11180_MOESM6_ESM.xlsx › _D__IntAct-SI_disease_mut
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
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