Associated Papers
Mapping multimodal phenotypes to perturbations in cells and tissue with CRISPRmap.
Gu J et al.
Nature Biotechnology, 2025
39375448 (PubMed )
Supplement: 41587_2024_2386_MOESM5_ESM.xlsx › Chemo_IR_FDR_LFC_KStest
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
CRISPRmap: Sequencing-free optical pooled screens mapping multi-omic phenotypes in cells and tissue.
Gu J et al.
Biorxiv : the Preprint Server for Biology, 2023
38234835 (PubMed )
Supplement: media-5.xlsx › ClinVar_update_Dec2023
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
Refinement of the assignment to the ACMG/AMP BS3 and PS3 criteria of eight BRCA1 variants of uncertain significance by integrating available functional data with protein interaction assays.
Caleca L et al.
Frontiers in Oncology, 2023
37168384 (PubMed )
Supplement: Table_1.xlsx › ST3_Discordant_Variants
Feasibility and limitations of cultured skin fibroblasts for germline genetic testing in hematologic disorders.
DeRoin L et al.
Human Mutation, 2022
35419889 (PubMed )
Supplement: HUMU-43-950-s001.xlsx › S6
Benchmarking of SpCas9 variants enables deeper base editor screens of BRCA1 and BCL2.
Sangree AK et al.
Nature Communications, 2022
35288574 (PubMed )
Supplement: 41467_2022_28884_MOESM9_ESM.xlsx › WT-CBE_library_annotation
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
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
Identification of pathogenic variants in cancer genes using base editing screens with editing efficiency correction.
Huang C et al.
Genome Biology, 2021
33691754 (PubMed )
Supplement: 13059_2021_2305_MOESM7_ESM.xlsx › Table_S6
Accurate classification of BRCA1 variants with saturation genome editing.
Findlay GM et al.
Nature, 2018
30209399 (PubMed )
Supplement: NIHMS1501643-supplement-2.xlsx › Sheet1
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