Associated Papers
The SeqSplice multiplexed minigene splicing assay for characterization and quantitation of variant-induced BRCA1 and BRCA2 splice isoforms.
Canson DM et al.
Genome Research, 2025
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
Targeted Mutational Analysis of Circulating Tumor DNA to Decipher Temporal Heterogeneity of High-Grade Serous Ovarian Cancer.
Paracchini L et al.
Cancers, 2022
35954363 (PubMed )
Supplement: cancers-14-03697-s001.zip › cancers-1796307-supplementary › Supplementary › Supplementary_Table_S4.xlsx › Sheet1
Variomes: a high recall search engine to support the curation of genomic variants.
Pasche E et al.
Bioinformatics (oxford, England), 2022
35274687 (PubMed )
Supplement: btac146_supplementary_data.pdf
Detection of germline variants in Brazilian breast cancer patients using multigene panel testing.
Guindalini RSC et al.
Scientific Reports, 2022
35264596 (PubMed )
Supplement: 41598_2022_7383_MOESM3_ESM.xlsx › Planilha1
Analysis of single-nucleotide polymorphisms in genes associated with triple-negative breast cancer.
G V et al.
Frontiers in Genetics, 2022
36561320 (PubMed )
Supplement: Table3.xlsx › Sheet1
Targeted Therapy of Papillary Thyroid Cancer: A Comprehensive Genomic Analysis.
Hescheler DA et al.
Frontiers in Endocrinology, 2021
34630336 (PubMed )
Supplement: Table_1.xlsx › Tab2
Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditions.
Fahed AC et al.
Nature Communications, 2020
32820175 (PubMed )
Supplement: 41467_2020_17374_MOESM1_ESM.pdf
Mis-splicing in breast cancer: identification of pathogenic BRCA2 variants by systematic minigene assays.
Fraile-Bethencourt E et al.
The Journal of Pathology, 2019
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
Somatic mutations in benign breast disease tissue and risk of subsequent invasive breast cancer.
Rohan TE et al.
British Journal of Cancer, 2018
29872146 (PubMed )
Supplement: 41416_2018_89_MOESM2_ESM.xls › Table_2a
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
Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations.
Martelotto LG et al.
Genome Biology, 2014
25348012 (PubMed )
Supplement: 13059_2014_484_MOESM2_ESM.xlsx › Additional_file_2
Functional analysis of a large set of BRCA2 exon 7 variants highlights the predictive value of hexamer scores in detecting alterations of exonic splicing regulatory elements.
Di Giacomo D et al.
Human Mutation, 2013
Multiple sequence variants of BRCA2 exon 7 alter splicing regulation.
Gaildrat P et al.
Journal of Medical Genetics, 2012
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