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Predicting the pathogenicity of novel variants in mitochondrial tRNA with MitoTIP

Novel or rare variants in mitochondrial tRNA sequences may be observed after mitochondrial DNA analysis. Determining whether these variants are pathogenic is critical, but confirmation of the effect of a variant on mitochondrial function can be challenging. We have used available databases of benign...

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Autores principales: Sonney, Sanjay, Leipzig, Jeremy, Lott, Marie T., Zhang, Shiping, Procaccio, Vincent, Wallace, Douglas C., Sondheimer, Neal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739504/
https://www.ncbi.nlm.nih.gov/pubmed/29227991
http://dx.doi.org/10.1371/journal.pcbi.1005867
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author Sonney, Sanjay
Leipzig, Jeremy
Lott, Marie T.
Zhang, Shiping
Procaccio, Vincent
Wallace, Douglas C.
Sondheimer, Neal
author_facet Sonney, Sanjay
Leipzig, Jeremy
Lott, Marie T.
Zhang, Shiping
Procaccio, Vincent
Wallace, Douglas C.
Sondheimer, Neal
author_sort Sonney, Sanjay
collection PubMed
description Novel or rare variants in mitochondrial tRNA sequences may be observed after mitochondrial DNA analysis. Determining whether these variants are pathogenic is critical, but confirmation of the effect of a variant on mitochondrial function can be challenging. We have used available databases of benign and pathogenic variants, alignment between diverse tRNAs, structural information and comparative genomics to predict the impact of all possible single-base variants and deletions. The Mitochondrial tRNA Informatics Predictor (MitoTIP) is available through MITOMAP at www.mitomap.org. The source code for MitoTIP is available at www.github.com/sonneysa/MitoTIP.
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spelling pubmed-57395042018-01-10 Predicting the pathogenicity of novel variants in mitochondrial tRNA with MitoTIP Sonney, Sanjay Leipzig, Jeremy Lott, Marie T. Zhang, Shiping Procaccio, Vincent Wallace, Douglas C. Sondheimer, Neal PLoS Comput Biol Research Article Novel or rare variants in mitochondrial tRNA sequences may be observed after mitochondrial DNA analysis. Determining whether these variants are pathogenic is critical, but confirmation of the effect of a variant on mitochondrial function can be challenging. We have used available databases of benign and pathogenic variants, alignment between diverse tRNAs, structural information and comparative genomics to predict the impact of all possible single-base variants and deletions. The Mitochondrial tRNA Informatics Predictor (MitoTIP) is available through MITOMAP at www.mitomap.org. The source code for MitoTIP is available at www.github.com/sonneysa/MitoTIP. Public Library of Science 2017-12-11 /pmc/articles/PMC5739504/ /pubmed/29227991 http://dx.doi.org/10.1371/journal.pcbi.1005867 Text en © 2017 Sonney et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sonney, Sanjay
Leipzig, Jeremy
Lott, Marie T.
Zhang, Shiping
Procaccio, Vincent
Wallace, Douglas C.
Sondheimer, Neal
Predicting the pathogenicity of novel variants in mitochondrial tRNA with MitoTIP
title Predicting the pathogenicity of novel variants in mitochondrial tRNA with MitoTIP
title_full Predicting the pathogenicity of novel variants in mitochondrial tRNA with MitoTIP
title_fullStr Predicting the pathogenicity of novel variants in mitochondrial tRNA with MitoTIP
title_full_unstemmed Predicting the pathogenicity of novel variants in mitochondrial tRNA with MitoTIP
title_short Predicting the pathogenicity of novel variants in mitochondrial tRNA with MitoTIP
title_sort predicting the pathogenicity of novel variants in mitochondrial trna with mitotip
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739504/
https://www.ncbi.nlm.nih.gov/pubmed/29227991
http://dx.doi.org/10.1371/journal.pcbi.1005867
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