ArticleNAR genomics and bioinformatics2025
A practical framework for predicting splicing single nucleotide variants in exome sequencing.
Article in NAR genomics and bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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Authors and funding
10 authors.
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Abstract
Splicing variants significantly contribute to Mendelian disorders, yet predicting their pathogenicity remains challenging. To address this issue, we developed a framework that simplifies the evaluation of pathogenic splicing single nucleotide variants (SNVs) while following ACMG/AMP guidelines and ClinGen recommendations established in 2023. Our system simplifies the 2023 ClinGen criteria by assigning a priority score (ranging from -10 to 14) to SNVs in open reading frame regions. Validation using pathogenic splicing SNVs from the Human Gene Mutation Database and common SNVs from gnomAD demonstrated superior discrimination compared to SpliceAI alone (area under the receiver operating characteristic 0.991 versus 0.983,
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