| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1) Dataset: CAGI6 Splicing VUS variants as scored by Drost et al. | 0.956 auprc fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on 56 CAGI6 Splicing VUS variants rna-splicing-20261009-protocol-drost2025-cagi6 Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S3 'Stratified datasets', Dataset 'CAGI6', cell I9; row SpliceAI, column AUPRC |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1) Dataset: CAGI6 Splicing VUS variants as scored by Drost et al. | 0.909 auroc fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on 56 CAGI6 Splicing VUS variants rna-splicing-20261009-protocol-drost2025-cagi6 Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S3 'Stratified datasets', Dataset 'CAGI6', cell H9; row SpliceAI, column AUROC |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1) Dataset: CAGI6 Splicing VUS variants as scored by Drost et al. | 0.889 f1-score fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on 56 CAGI6 Splicing VUS variants rna-splicing-20261009-protocol-drost2025-cagi6 Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell F22; row SpliceAI, column F1 |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1) Dataset: CAGI6 Splicing VUS variants as scored by Drost et al. | 0.762 negative-predictive-value fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on 56 CAGI6 Splicing VUS variants rna-splicing-20261009-protocol-drost2025-cagi6 Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell H22; row SpliceAI, column Neg Pred Value |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1) Dataset: CAGI6 Splicing VUS variants as scored by Drost et al. | 0.914 precision fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on 56 CAGI6 Splicing VUS variants rna-splicing-20261009-protocol-drost2025-cagi6 Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell G22; row SpliceAI, column Pos Pred Value |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1) Dataset: CAGI6 Splicing VUS variants as scored by Drost et al. | 0.914 precision fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on 56 CAGI6 Splicing VUS variants rna-splicing-20261009-protocol-drost2025-cagi6 Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell E22; row SpliceAI, column Precision |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1) Dataset: CAGI6 Splicing VUS variants as scored by Drost et al. | 0.865 recall fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on 56 CAGI6 Splicing VUS variants rna-splicing-20261009-protocol-drost2025-cagi6 Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell C22; row SpliceAI, column Sensitivity (Recall) |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1) Dataset: CAGI6 Splicing VUS variants as scored by Drost et al. | 0.842 specificity fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on 56 CAGI6 Splicing VUS variants rna-splicing-20261009-protocol-drost2025-cagi6 Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell D22; row SpliceAI, column Specificity |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, in-house diagnostic cohort (Drost et al. Data S1) Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset | 0.942 auprc fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on in-house scorable variants (count not printed) rna-splicing-20261009-protocol-drost2025-inhouse Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S3 'Stratified datasets', Dataset 'In House', cell I14; row SpliceAI, column AUPRC |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, in-house diagnostic cohort (Drost et al. Data S1) Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset | 0.893 auroc fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on in-house scorable variants (count not printed) rna-splicing-20261009-protocol-drost2025-inhouse Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S3 'Stratified datasets', Dataset 'In House', cell H14; row SpliceAI, column AUROC |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, in-house diagnostic cohort (Drost et al. Data S1) Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset | 0.858 f1-score fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on in-house scorable variants (count not printed) rna-splicing-20261009-protocol-drost2025-inhouse Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'In House dataset', cell F35; row SpliceAI, column F1 |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, in-house diagnostic cohort (Drost et al. Data S1) Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset | 0.769 negative-predictive-value fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on in-house scorable variants (count not printed) rna-splicing-20261009-protocol-drost2025-inhouse Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'In House dataset', cell H35; row SpliceAI, column Neg Pred Value |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, in-house diagnostic cohort (Drost et al. Data S1) Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset | 0.844 precision fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on in-house scorable variants (count not printed) rna-splicing-20261009-protocol-drost2025-inhouse Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'In House dataset', cell G35; row SpliceAI, column Pos Pred Value |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, in-house diagnostic cohort (Drost et al. Data S1) Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset | 0.844 precision fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on in-house scorable variants (count not printed) rna-splicing-20261009-protocol-drost2025-inhouse Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'In House dataset', cell E35; row SpliceAI, column Precision |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, in-house diagnostic cohort (Drost et al. Data S1) Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset | 0.873 recall fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on in-house scorable variants (count not printed) rna-splicing-20261009-protocol-drost2025-inhouse Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'In House dataset', cell C35; row SpliceAI, column Sensitivity (Recall) |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, in-house diagnostic cohort (Drost et al. Data S1) Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset | 0.725 specificity fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on in-house scorable variants (count not printed) rna-splicing-20261009-protocol-drost2025-inhouse Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'In House dataset', cell D35; row SpliceAI, column Specificity |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, all 243 scorable variants (Drost et al. Data S1) Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable | 0.943 auprc fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on 243 scorable variants (in-house plus CAGI6) rna-splicing-20261009-protocol-drost2025-merged-243 Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S3 'Entire Dataset', cell D12; row SpliceAI, column AUPRC |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, all 243 scorable variants (Drost et al. Data S1) Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable | 0.895 auroc fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on 243 scorable variants (in-house plus CAGI6) rna-splicing-20261009-protocol-drost2025-merged-243 Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S3 'Entire Dataset', cell C12; row SpliceAI, column AUROC |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, all 243 scorable variants (Drost et al. Data S1) Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable | 0.865 f1-score fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on 243 scorable variants (in-house plus CAGI6) rna-splicing-20261009-protocol-drost2025-merged-243 Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'Entire Dataset', cell F9; row SpliceAI, column F1 |
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| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, all 243 scorable variants (Drost et al. Data S1) Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable | 0.767 negative-predictive-value fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on 243 scorable variants (in-house plus CAGI6) rna-splicing-20261009-protocol-drost2025-merged-243 Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'Entire Dataset', cell H9; row SpliceAI, column Neg Pred Value |
|---|
| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, all 243 scorable variants (Drost et al. Data S1) Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable | 0.86 precision fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on 243 scorable variants (in-house plus CAGI6) rna-splicing-20261009-protocol-drost2025-merged-243 Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'Entire Dataset', cell G9; row SpliceAI, column Pos Pred Value |
|---|
| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, all 243 scorable variants (Drost et al. Data S1) Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable | 0.86 precision fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on 243 scorable variants (in-house plus CAGI6) rna-splicing-20261009-protocol-drost2025-merged-243 Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'Entire Dataset', cell E9; row SpliceAI, column Precision |
|---|
| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, all 243 scorable variants (Drost et al. Data S1) Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable | 0.871 recall fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on 243 scorable variants (in-house plus CAGI6) rna-splicing-20261009-protocol-drost2025-merged-243 Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'Entire Dataset', cell C9; row SpliceAI, column Sensitivity (Recall) |
|---|
| Configuration: SpliceAI (Drost et al.) | Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, all 243 scorable variants (Drost et al. Data S1) Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable | 0.75 specificity fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on 243 scorable variants (in-house plus CAGI6) rna-splicing-20261009-protocol-drost2025-merged-243 Aggregation: Not reported Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'Entire Dataset', cell D9; row SpliceAI, column Specificity |
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