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MinorityReport, software for generalized analysis of causal genetic variants

BACKGROUND: The widespread availability of next generation genome sequencing technologies has enabled a wide range of variant detection applications, especially in cancer and inborn genetic disorders. For model systems and microorganisms, the same technology may be used to discover the causative mut...

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Autores principales: Horst, Jeremy A., Wu, Wesley, DeRisi, Joseph L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5324306/
https://www.ncbi.nlm.nih.gov/pubmed/28231785
http://dx.doi.org/10.1186/s12936-017-1730-2
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author Horst, Jeremy A.
Wu, Wesley
DeRisi, Joseph L.
author_facet Horst, Jeremy A.
Wu, Wesley
DeRisi, Joseph L.
author_sort Horst, Jeremy A.
collection PubMed
description BACKGROUND: The widespread availability of next generation genome sequencing technologies has enabled a wide range of variant detection applications, especially in cancer and inborn genetic disorders. For model systems and microorganisms, the same technology may be used to discover the causative mutations for any phenotype, including those generated in response to chemical perturbation. In the case of pathogenic organisms, these approaches have allowed the determination of drug targets by means of resistance selection followed by genome sequencing. RESULTS: MinorityReport is open source software written in python that facilitates the comparison of any two sets of genome alignments for the purpose of rapidly identifying the spectrum of nonsynonymous changes, insertions or deletions, and copy number variations in a presumed mutant relative to its parent. Specifically, MinorityReport relates mapped sequence reads in SAM format output from any alignment tool for both the mutant and parent genome, relative to a reference genome, and produces the set of variants that distinguishes the mutant from the parent, all presented in an intuitive, straightforward report format. MinorityReport features tunable parameters for evaluating evidence and a scoring system that prioritizes reported variants based on relative proportions of read counts supporting the variant in the mutant versus parent data sets. The utility of MinorityReport is demonstrated using previously published publicly available data sets to find the determinants of resistance for novel anti-malarial drugs. CONCLUSIONS: MinorityReport is readily available (github: JeremyHorst/MinorityReport) to identify the genetic mechanisms of drug resistance in Plasmodium, genotype-phenotype relationships in human diads, or genomic variations between any two related organisms. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-017-1730-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-53243062017-03-01 MinorityReport, software for generalized analysis of causal genetic variants Horst, Jeremy A. Wu, Wesley DeRisi, Joseph L. Malar J Methodology BACKGROUND: The widespread availability of next generation genome sequencing technologies has enabled a wide range of variant detection applications, especially in cancer and inborn genetic disorders. For model systems and microorganisms, the same technology may be used to discover the causative mutations for any phenotype, including those generated in response to chemical perturbation. In the case of pathogenic organisms, these approaches have allowed the determination of drug targets by means of resistance selection followed by genome sequencing. RESULTS: MinorityReport is open source software written in python that facilitates the comparison of any two sets of genome alignments for the purpose of rapidly identifying the spectrum of nonsynonymous changes, insertions or deletions, and copy number variations in a presumed mutant relative to its parent. Specifically, MinorityReport relates mapped sequence reads in SAM format output from any alignment tool for both the mutant and parent genome, relative to a reference genome, and produces the set of variants that distinguishes the mutant from the parent, all presented in an intuitive, straightforward report format. MinorityReport features tunable parameters for evaluating evidence and a scoring system that prioritizes reported variants based on relative proportions of read counts supporting the variant in the mutant versus parent data sets. The utility of MinorityReport is demonstrated using previously published publicly available data sets to find the determinants of resistance for novel anti-malarial drugs. CONCLUSIONS: MinorityReport is readily available (github: JeremyHorst/MinorityReport) to identify the genetic mechanisms of drug resistance in Plasmodium, genotype-phenotype relationships in human diads, or genomic variations between any two related organisms. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-017-1730-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-23 /pmc/articles/PMC5324306/ /pubmed/28231785 http://dx.doi.org/10.1186/s12936-017-1730-2 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Horst, Jeremy A.
Wu, Wesley
DeRisi, Joseph L.
MinorityReport, software for generalized analysis of causal genetic variants
title MinorityReport, software for generalized analysis of causal genetic variants
title_full MinorityReport, software for generalized analysis of causal genetic variants
title_fullStr MinorityReport, software for generalized analysis of causal genetic variants
title_full_unstemmed MinorityReport, software for generalized analysis of causal genetic variants
title_short MinorityReport, software for generalized analysis of causal genetic variants
title_sort minorityreport, software for generalized analysis of causal genetic variants
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5324306/
https://www.ncbi.nlm.nih.gov/pubmed/28231785
http://dx.doi.org/10.1186/s12936-017-1730-2
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