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A plugin for the Ensembl Variant Effect Predictor that uses MaxEntScan to predict variant spliceogenicity.


ABSTRACT: Summary:Assessing the pathogenicity of genetic variants can be a complex and challenging task. Spliceogenic variants, which alter mRNA splicing, may yield mature transcripts that encode non-functional protein products, an important predictor of Mendelian disease risk. However, most variant annotation tools do not adequately assess spliceogenicity outside the native splice site and thus the disease-causing potential of variants in other intronic and exonic regions is often overlooked. Here, we present a plugin for the Ensembl Variant Effect Predictor that packages MaxEntScan and extends its functionality to provide splice site predictions using a maximum entropy model. The plugin incorporates a sliding window algorithm to predict splice site loss or gain for any variant that overlaps a transcript feature. We also demonstrate the utility of the plugin by comparing our predictions to two mRNA splicing datasets containing several cancer-susceptibility genes. Availability:Source code is freely available under the Apache License, Version 2.0: https://github.com/Ensembl/VEP_plugins. Supplementary information:Supplementary data are available online at Bioinformatics.

SUBMITTER: Shamsani J 

PROVIDER: S-EPMC6596880 | biostudies-other | 2018 Nov

REPOSITORIES: biostudies-other

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A plugin for the Ensembl Variant Effect Predictor that uses MaxEntScan to predict variant spliceogenicity.

Shamsani Jannah J   Kazakoff Stephen H SH   Armean Irina M IM   McLaren Will W   Parsons Michael T MT   Thompson Bryony A BA   O'Mara Tracy A TA   Hunt Sarah E SE   Waddell Nicola N   Spurdle Amanda B AB  

Bioinformatics (Oxford, England) 20190701 13


<h4>Summary</h4>Assessing the pathogenicity of genetic variants can be a complex and challenging task. Spliceogenic variants, which alter mRNA splicing, may yield mature transcripts that encode non-functional protein products, an important predictor of Mendelian disease risk. However, most variant annotation tools do not adequately assess spliceogenicity outside the native splice site and thus the disease-causing potential of variants in other intronic and exonic regions is often overlooked. Her  ...[more]

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