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TAPES: A tool for assessment and prioritisation in exome studies

Next-generation sequencing continues to grow in importance for researchers. Exome sequencing became a widespread tool to further study the genomic basis of Mendelian diseases. In an effort to identify pathogenic variants, reject benign variants and better predict variant effects in downstream analys...

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Autores principales: Xavier, Alexandre, Scott, Rodney J., Talseth-Palmer, Bente A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814239/
https://www.ncbi.nlm.nih.gov/pubmed/31613886
http://dx.doi.org/10.1371/journal.pcbi.1007453
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author Xavier, Alexandre
Scott, Rodney J.
Talseth-Palmer, Bente A.
author_facet Xavier, Alexandre
Scott, Rodney J.
Talseth-Palmer, Bente A.
author_sort Xavier, Alexandre
collection PubMed
description Next-generation sequencing continues to grow in importance for researchers. Exome sequencing became a widespread tool to further study the genomic basis of Mendelian diseases. In an effort to identify pathogenic variants, reject benign variants and better predict variant effects in downstream analysis, the American College of Medical Genetics (ACMG) published a set of criteria in 2015. While there are multiple publicly available software’s available to assign the ACMG criteria, most of them do not take into account multi-sample variant calling formats. Here we present a tool for assessment and prioritisation in exome studies (TAPES, https://github.com/a-xavier/tapes), an open-source tool designed for small-scale exome studies. TAPES can quickly assign ACMG criteria using ANNOVAR or VEP annotated files and implements a model to transform the categorical ACMG criteria into a continuous probability, allowing for a more accurate classification of pathogenicity or benignity of variants. In addition, TAPES can work with cohorts sharing a common phenotype by utilising a simple enrichment analysis, requiring no controls as an input as well as providing powerful filtering and reporting options. Finally, benchmarks showed that TAPES outperforms available tools to detect both pathogenic and benign variants, while also integrating the identification of enriched variants in study cohorts compared to the general population, making it an ideal tool to evaluate a smaller cohort before using bigger scale studies.
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spelling pubmed-68142392019-11-02 TAPES: A tool for assessment and prioritisation in exome studies Xavier, Alexandre Scott, Rodney J. Talseth-Palmer, Bente A. PLoS Comput Biol Research Article Next-generation sequencing continues to grow in importance for researchers. Exome sequencing became a widespread tool to further study the genomic basis of Mendelian diseases. In an effort to identify pathogenic variants, reject benign variants and better predict variant effects in downstream analysis, the American College of Medical Genetics (ACMG) published a set of criteria in 2015. While there are multiple publicly available software’s available to assign the ACMG criteria, most of them do not take into account multi-sample variant calling formats. Here we present a tool for assessment and prioritisation in exome studies (TAPES, https://github.com/a-xavier/tapes), an open-source tool designed for small-scale exome studies. TAPES can quickly assign ACMG criteria using ANNOVAR or VEP annotated files and implements a model to transform the categorical ACMG criteria into a continuous probability, allowing for a more accurate classification of pathogenicity or benignity of variants. In addition, TAPES can work with cohorts sharing a common phenotype by utilising a simple enrichment analysis, requiring no controls as an input as well as providing powerful filtering and reporting options. Finally, benchmarks showed that TAPES outperforms available tools to detect both pathogenic and benign variants, while also integrating the identification of enriched variants in study cohorts compared to the general population, making it an ideal tool to evaluate a smaller cohort before using bigger scale studies. Public Library of Science 2019-10-15 /pmc/articles/PMC6814239/ /pubmed/31613886 http://dx.doi.org/10.1371/journal.pcbi.1007453 Text en © 2019 Xavier 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
Xavier, Alexandre
Scott, Rodney J.
Talseth-Palmer, Bente A.
TAPES: A tool for assessment and prioritisation in exome studies
title TAPES: A tool for assessment and prioritisation in exome studies
title_full TAPES: A tool for assessment and prioritisation in exome studies
title_fullStr TAPES: A tool for assessment and prioritisation in exome studies
title_full_unstemmed TAPES: A tool for assessment and prioritisation in exome studies
title_short TAPES: A tool for assessment and prioritisation in exome studies
title_sort tapes: a tool for assessment and prioritisation in exome studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814239/
https://www.ncbi.nlm.nih.gov/pubmed/31613886
http://dx.doi.org/10.1371/journal.pcbi.1007453
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