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
40769711 (PubMed )
Supplement: Supplemental_Table_S1.xlsx › S1.splicing_results_summary
ACMG/AMP interpretation of BRCA1 missense variants: Structure-informed scores add evidence strength granularity to the PP3/BP4 computational evidence.
Ramadane-Morchadi L et al.
American Journal of Human Genetics, 2025
40233743 (PubMed )
Supplement: mmc2.xlsx › Hoja1
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_S19
Exploring Co-occurring POLE Exonuclease and Non-exonuclease Domain Mutations and Their Impact on Tumor Mutagenicity.
Shah SM et al.
Cancer Research Communications, 2024
38282550 (PubMed )
Supplement: crc-23-0312-s02.xlsx › Fig3B_EC_data
DNA repair function scores for 2172 variants in the BRCA1 amino-terminus.
Diabate M et al.
Plos Genetics, 2023
37578980 (PubMed )
Supplement: pgen.1010739.s005.xlsx › Sheet1
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
Clinical, splicing, and functional analysis to classify BRCA2 exon 3 variants: Application of a points-based ACMG/AMP approach.
Thomassen M et al.
Human Mutation, 2022
35979650 (PubMed )
Supplement: HUMU-43-1921-s002.XLSX › Supp_T7
Quantifying prediction of pathogenicity for within-codon concordance (PM5) using 7541 functional classifications of BRCA1 and MSH2 missense variants.
Loong L et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2022
34906453 (PubMed )
Supplement: mmc1.xlsx › Sup_Table_3_Variantdata
Role of Splicing Regulatory Elements and In Silico Tools Usage in the Identification of Deep Intronic Splicing Variants in Hereditary Breast/Ovarian Cancer Genes.
Moles-Fernández A et al.
Cancers, 2021
34283047 (PubMed )
Supplement: cancers-13-03341-s001.zip › 2_Supplementary_table_S2A_2B.xlsx › Suppl_Table_2A
Towards a New, Endophenotype-Based Strategy for Pathogenicity Prediction in BRCA1 and BRCA2: In Silico Modeling of the Outcome of HDR/SGE Assays for Missense Variants.
Özkan S et al.
International Journal of Molecular Sciences, 2021
34207612 (PubMed )
Supplement: ijms-22-06226-s001.zip › SUPP_FIGURES_TABLES › SupplementaryTable4.xlsx › supp_table4
Characterization of BRCA1-deficient premalignant tissues and cancers identifies Plekha5 as a tumor metastasis suppressor.
Liu J et al.
Nature Communications, 2020
32978388 (PubMed )
Supplement: 41467_2020_18637_MOESM5_ESM.xlsx › Bulk
Accurate classification of BRCA1 variants with saturation genome editing.
Findlay GM et al.
Nature, 2018
30209399 (PubMed )
Supplement: NIHMS1501643-supplement-2.xlsx › Sheet1
Select a paper to view details