bioRxivBioinformaticsPreprint
MORFEE: a new tool for detecting and annotating single nucleotide variants creating premature ATG codons from VCF files
Dylan AïssiiD, Omar SoukariehiD, Carole Proust, Béatrice Jaspard‐VinassaiD, Pierre FautradiD, Manal Ibrahim‐KostaiD, Felipe Leal ValentimiD, Maguelonne RouxiD, Delphine Bacq‐Daian, Robert OlasoiD, Jean‐François DeleuzeiD, Pierre‐Emmanuel MorangeiD, David‐Alexandre TrégouëtiD
Abstract
SummaryVariants in 5UTR regions that create upstream translation initiation AUG codons are a class of neglected non coding variations. When they associate with a premature stop codon and create upstream open reading frames (uORFs) whose translation competes with that of natural proteins, they can have strong impact on human diseases. We here describe MORFEE, a new bioinformatics tool that detects, annotates and predicts, from a standard VCF file, the creation of uORF by any 5UTR variants on uORF creation. MORFEE was applied to two genomic resources and identified candidate functional variants that could explain statistical association signals observed in the context of Genome Wide Association Studies or could be responsible for rare forms of diseases. In conclusion MORFEE is an easy-to-use tool complementary to existing ones that can help resolving genetic investigations that remained so far unfruitful. Availability and implementationMORFEE is written in R with code and package available at https://github.com/daissi/MORFEE. Contactdavid-alexandre.tregouet@inserm.fr; david-alexandre.tregouet@u-bordeaux.fr
- organism: human
- assay: whole-genome sequencing
- research focus: variant effect prediction
- research focus: database / resource
- research focus: software / tool
- approach: statistical model
- Citations
- 9
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