Associated Papers
Germline Testing in Breast Cancer: A Single-Center Analysis Comparing Strengths and Challenges of Different Approaches.
Marabelli M et al.
Cancers, 2025
40361347 (PubMed )
Supplement: cancers-17-01419-s001.zip › Table_S6.xlsx › Foglio1
Genome-wide detection of human intronic AG-gain variants located between splicing branchpoints and canonical splice acceptor sites.
Zhang P et al.
Proceedings of the National Academy of Sciences of the United States of America, 2023
37931111 (PubMed )
Supplement: pnas.2314225120.sd01.xlsx › Dataset_S1._patho_AG-gain_var
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
Analyzing the effects of BRCA1/2 variants on mRNA splicing by minigene assay.
Dong Z et al.
Journal of Human Genetics, 2023
Diagnostic utility of next-generation sequencing-based panel testing in 543 patients with suspected skeletal dysplasia.
Scocchia A et al.
Orphanet Journal of Rare Diseases, 2021
34627339 (PubMed )
Supplement: 13023_2021_2025_MOESM3_ESM.xlsx › Targeted_non-coding_variants
BRCA1/2 pathogenic variants in triple-negative versus luminal-like breast cancers: genotype-phenotype correlation in a cohort of 531 patients.
Incorvaia L et al.
Therapeutic Advances in Medical Oncology, 2020
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
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
Assessing the RNA effect of 26 DNA variants in the BRCA1 and BRCA2 genes.
Menéndez M et al.
Breast Cancer Research and Treatment, 2012
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