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MTR-Viewer: identifying regions within genes under purifying selection

Advances in genomic sequencing have enormous potential to revolutionize personalized medicine, however distinguishing disease-causing from benign variants remains a challenge. The increasing number of human genome and exome sequences available has revealed areas where unfavourable variation is remov...

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Autores principales: Silk, Michael, Petrovski, Slavé, Ascher, David B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602522/
https://www.ncbi.nlm.nih.gov/pubmed/31170280
http://dx.doi.org/10.1093/nar/gkz457
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author Silk, Michael
Petrovski, Slavé
Ascher, David B
author_facet Silk, Michael
Petrovski, Slavé
Ascher, David B
author_sort Silk, Michael
collection PubMed
description Advances in genomic sequencing have enormous potential to revolutionize personalized medicine, however distinguishing disease-causing from benign variants remains a challenge. The increasing number of human genome and exome sequences available has revealed areas where unfavourable variation is removed through purifying selection. Here, we present the MTR-Viewer, a web-server enabling easy visualization at the gene or variant level of the Missense Tolerance Ratio (MTR), a measure of regional intolerance to missense variation calculated using variation from 240 000 exome and genome sequences. The MTR-Viewer enables exploration of MTR calculations, using different sliding windows, for over 18 000 human protein-coding genes and 85 000 alternative transcripts. Users can also view MTR scores calculated for specific ethnicities, to enable easy exploration of regions that may be under different selective pressure. The spatial distribution of population and known disease variants is also displayed on the protein's domain structure. Intolerant regions were found to be highly enriched for ClinVar pathogenic and COSMIC somatic missense variants (Mann–Whitney U test P < 2.2 × 10(−16)). As the MTR is not biased by known domains and protein features, it can highlight functionally important regions within genes overlooked or inaccessible by traditional methods. MTR-Viewer is freely available via a user friendly web-server at http://biosig.unimelb.edu.au/mtr-viewer/.
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spelling pubmed-66025222019-07-05 MTR-Viewer: identifying regions within genes under purifying selection Silk, Michael Petrovski, Slavé Ascher, David B Nucleic Acids Res Web Server Issue Advances in genomic sequencing have enormous potential to revolutionize personalized medicine, however distinguishing disease-causing from benign variants remains a challenge. The increasing number of human genome and exome sequences available has revealed areas where unfavourable variation is removed through purifying selection. Here, we present the MTR-Viewer, a web-server enabling easy visualization at the gene or variant level of the Missense Tolerance Ratio (MTR), a measure of regional intolerance to missense variation calculated using variation from 240 000 exome and genome sequences. The MTR-Viewer enables exploration of MTR calculations, using different sliding windows, for over 18 000 human protein-coding genes and 85 000 alternative transcripts. Users can also view MTR scores calculated for specific ethnicities, to enable easy exploration of regions that may be under different selective pressure. The spatial distribution of population and known disease variants is also displayed on the protein's domain structure. Intolerant regions were found to be highly enriched for ClinVar pathogenic and COSMIC somatic missense variants (Mann–Whitney U test P < 2.2 × 10(−16)). As the MTR is not biased by known domains and protein features, it can highlight functionally important regions within genes overlooked or inaccessible by traditional methods. MTR-Viewer is freely available via a user friendly web-server at http://biosig.unimelb.edu.au/mtr-viewer/. Oxford University Press 2019-07-02 2019-06-06 /pmc/articles/PMC6602522/ /pubmed/31170280 http://dx.doi.org/10.1093/nar/gkz457 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Web Server Issue
Silk, Michael
Petrovski, Slavé
Ascher, David B
MTR-Viewer: identifying regions within genes under purifying selection
title MTR-Viewer: identifying regions within genes under purifying selection
title_full MTR-Viewer: identifying regions within genes under purifying selection
title_fullStr MTR-Viewer: identifying regions within genes under purifying selection
title_full_unstemmed MTR-Viewer: identifying regions within genes under purifying selection
title_short MTR-Viewer: identifying regions within genes under purifying selection
title_sort mtr-viewer: identifying regions within genes under purifying selection
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602522/
https://www.ncbi.nlm.nih.gov/pubmed/31170280
http://dx.doi.org/10.1093/nar/gkz457
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