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SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion
SUMMARY: SpliceAI is a widely used splicing prediction tool and its most common application relies on the maximum delta score to assign variant impact on splicing. We developed the SpliceAI-10k calculator (SAI-10k-calc) to extend use of this tool to predict: the splicing aberration type including ps...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125908/ https://www.ncbi.nlm.nih.gov/pubmed/37021934 http://dx.doi.org/10.1093/bioinformatics/btad179 |
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author | Canson, Daffodil M Davidson, Aimee L de la Hoya, Miguel Parsons, Michael T Glubb, Dylan M Kondrashova, Olga Spurdle, Amanda B |
author_facet | Canson, Daffodil M Davidson, Aimee L de la Hoya, Miguel Parsons, Michael T Glubb, Dylan M Kondrashova, Olga Spurdle, Amanda B |
author_sort | Canson, Daffodil M |
collection | PubMed |
description | SUMMARY: SpliceAI is a widely used splicing prediction tool and its most common application relies on the maximum delta score to assign variant impact on splicing. We developed the SpliceAI-10k calculator (SAI-10k-calc) to extend use of this tool to predict: the splicing aberration type including pseudoexonization, intron retention, partial exon deletion, and (multi)exon skipping using a 10 kb analysis window; the size of inserted or deleted sequence; the effect on reading frame; and the altered amino acid sequence. SAI-10k-calc has 95% sensitivity and 96% specificity for predicting variants that impact splicing, computed from a control dataset of 1212 single-nucleotide variants (SNVs) with curated splicing assay results. Notably, it has high performance (≥84% accuracy) for predicting pseudoexon and partial intron retention. The automated amino acid sequence prediction allows for efficient identification of variants that are expected to result in mRNA nonsense-mediated decay or translation of truncated proteins. AVAILABILITY AND IMPLEMENTATION: SAI-10k-calc is implemented in R (https://github.com/adavi4/SAI-10k-calc) and also available as a Microsoft Excel spreadsheet. Users can adjust the default thresholds to suit their target performance values. |
format | Online Article Text |
id | pubmed-10125908 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-101259082023-04-26 SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion Canson, Daffodil M Davidson, Aimee L de la Hoya, Miguel Parsons, Michael T Glubb, Dylan M Kondrashova, Olga Spurdle, Amanda B Bioinformatics Applications Note SUMMARY: SpliceAI is a widely used splicing prediction tool and its most common application relies on the maximum delta score to assign variant impact on splicing. We developed the SpliceAI-10k calculator (SAI-10k-calc) to extend use of this tool to predict: the splicing aberration type including pseudoexonization, intron retention, partial exon deletion, and (multi)exon skipping using a 10 kb analysis window; the size of inserted or deleted sequence; the effect on reading frame; and the altered amino acid sequence. SAI-10k-calc has 95% sensitivity and 96% specificity for predicting variants that impact splicing, computed from a control dataset of 1212 single-nucleotide variants (SNVs) with curated splicing assay results. Notably, it has high performance (≥84% accuracy) for predicting pseudoexon and partial intron retention. The automated amino acid sequence prediction allows for efficient identification of variants that are expected to result in mRNA nonsense-mediated decay or translation of truncated proteins. AVAILABILITY AND IMPLEMENTATION: SAI-10k-calc is implemented in R (https://github.com/adavi4/SAI-10k-calc) and also available as a Microsoft Excel spreadsheet. Users can adjust the default thresholds to suit their target performance values. Oxford University Press 2023-04-06 /pmc/articles/PMC10125908/ /pubmed/37021934 http://dx.doi.org/10.1093/bioinformatics/btad179 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Canson, Daffodil M Davidson, Aimee L de la Hoya, Miguel Parsons, Michael T Glubb, Dylan M Kondrashova, Olga Spurdle, Amanda B SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion |
title | SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion |
title_full | SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion |
title_fullStr | SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion |
title_full_unstemmed | SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion |
title_short | SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion |
title_sort | spliceai-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125908/ https://www.ncbi.nlm.nih.gov/pubmed/37021934 http://dx.doi.org/10.1093/bioinformatics/btad179 |
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