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FitTetra 2.0 – improved genotype calling for tetraploids with multiple population and parental data support
BACKGROUND: Genetic studies in tetraploids are lagging behind in comparison with studies of diploids as the complex genetics of tetraploids require much more elaborated computational methodologies. Recent advancements in development of molecular techniques and computational tools facilitate new meth...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425654/ https://www.ncbi.nlm.nih.gov/pubmed/30894135 http://dx.doi.org/10.1186/s12859-019-2703-y |
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author | Zych, Konrad Gort, Gerrit Maliepaard, Chris A. Jansen, Ritsert C. Voorrips, Roeland E. |
author_facet | Zych, Konrad Gort, Gerrit Maliepaard, Chris A. Jansen, Ritsert C. Voorrips, Roeland E. |
author_sort | Zych, Konrad |
collection | PubMed |
description | BACKGROUND: Genetic studies in tetraploids are lagging behind in comparison with studies of diploids as the complex genetics of tetraploids require much more elaborated computational methodologies. Recent advancements in development of molecular techniques and computational tools facilitate new methods for automated, high-throughput genotype calling in tetraploid species. We report on the upgrade of the widely-used fitTetra software aiming to improve its accuracy, which to date is hampered by technical artefacts in the data. RESULTS: Our upgrade of the fitTetra package is designed for a more accurate modelling of complex collections of samples. The package fits a mixture model where some parameters of the model are estimated separately for each sub-collection. When a full-sib family is analyzed, we use parental genotypes to predict the expected segregation in terms of allele dosages in the offspring. More accurate modelling and use of parental data increases the accuracy of dosage calling. We tested the package on data obtained with an Affymetrix Axiom 60 k array and compared its performance with the original version and the recently published ClusterCall tool, showing that at least 20% more SNPs could be called with our updated. CONCLUSION: Our updated software package shows clearly improved performance in genotype calling accuracy. Estimation of mixing proportions of the underlying dosage distributions is separated for full-sib families (where mixture proportions can be estimated from the parental dosages and inheritance model) and unstructured populations (where they are based on the assumption of Hardy-Weinberg equilibrium). Additionally, as the distributions of signal ratios of the dosage classes can be assumed to be the same for all populations, including parental data for some subpopulations helps to improve fitting other populations as well. The R package fitTetra 2.0 is freely available under the GNU Public License as Additional file with this article. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2703-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6425654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64256542019-04-01 FitTetra 2.0 – improved genotype calling for tetraploids with multiple population and parental data support Zych, Konrad Gort, Gerrit Maliepaard, Chris A. Jansen, Ritsert C. Voorrips, Roeland E. BMC Bioinformatics Software BACKGROUND: Genetic studies in tetraploids are lagging behind in comparison with studies of diploids as the complex genetics of tetraploids require much more elaborated computational methodologies. Recent advancements in development of molecular techniques and computational tools facilitate new methods for automated, high-throughput genotype calling in tetraploid species. We report on the upgrade of the widely-used fitTetra software aiming to improve its accuracy, which to date is hampered by technical artefacts in the data. RESULTS: Our upgrade of the fitTetra package is designed for a more accurate modelling of complex collections of samples. The package fits a mixture model where some parameters of the model are estimated separately for each sub-collection. When a full-sib family is analyzed, we use parental genotypes to predict the expected segregation in terms of allele dosages in the offspring. More accurate modelling and use of parental data increases the accuracy of dosage calling. We tested the package on data obtained with an Affymetrix Axiom 60 k array and compared its performance with the original version and the recently published ClusterCall tool, showing that at least 20% more SNPs could be called with our updated. CONCLUSION: Our updated software package shows clearly improved performance in genotype calling accuracy. Estimation of mixing proportions of the underlying dosage distributions is separated for full-sib families (where mixture proportions can be estimated from the parental dosages and inheritance model) and unstructured populations (where they are based on the assumption of Hardy-Weinberg equilibrium). Additionally, as the distributions of signal ratios of the dosage classes can be assumed to be the same for all populations, including parental data for some subpopulations helps to improve fitting other populations as well. The R package fitTetra 2.0 is freely available under the GNU Public License as Additional file with this article. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2703-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-20 /pmc/articles/PMC6425654/ /pubmed/30894135 http://dx.doi.org/10.1186/s12859-019-2703-y Text en © The Author(s). 2019 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 | Software Zych, Konrad Gort, Gerrit Maliepaard, Chris A. Jansen, Ritsert C. Voorrips, Roeland E. FitTetra 2.0 – improved genotype calling for tetraploids with multiple population and parental data support |
title | FitTetra 2.0 – improved genotype calling for tetraploids with multiple population and parental data support |
title_full | FitTetra 2.0 – improved genotype calling for tetraploids with multiple population and parental data support |
title_fullStr | FitTetra 2.0 – improved genotype calling for tetraploids with multiple population and parental data support |
title_full_unstemmed | FitTetra 2.0 – improved genotype calling for tetraploids with multiple population and parental data support |
title_short | FitTetra 2.0 – improved genotype calling for tetraploids with multiple population and parental data support |
title_sort | fittetra 2.0 – improved genotype calling for tetraploids with multiple population and parental data support |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425654/ https://www.ncbi.nlm.nih.gov/pubmed/30894135 http://dx.doi.org/10.1186/s12859-019-2703-y |
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