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VariantscanR: an R-package as a clinical tool for variant filtering of known phenotype-associated variants in domestic animals
BACKGROUND: Since the introduction of next-generation sequencing (NGS) techniques, whole-exome sequencing (WES) and whole-genome sequencing (WGS) have not only revolutionized research, but also diagnostics. The gradual switch from single gene testing to WES and WGS required a different set of skills...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394849/ https://www.ncbi.nlm.nih.gov/pubmed/37528412 http://dx.doi.org/10.1186/s12859-023-05426-6 |
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author | Boeykens, Fréderique Bhatti, Sofie F. M. Peelman, Luc Broeckx, Bart J. G. |
author_facet | Boeykens, Fréderique Bhatti, Sofie F. M. Peelman, Luc Broeckx, Bart J. G. |
author_sort | Boeykens, Fréderique |
collection | PubMed |
description | BACKGROUND: Since the introduction of next-generation sequencing (NGS) techniques, whole-exome sequencing (WES) and whole-genome sequencing (WGS) have not only revolutionized research, but also diagnostics. The gradual switch from single gene testing to WES and WGS required a different set of skills, given the amount and type of data generated, while the demand for standardization remained. However, most of the tools currently available are solely applicable for human analysis because they require access to specific databases and/or simply do not support other species. Additionally, a complicating factor in clinical genetics in animals is that genetic diversity is often dangerously low due to the breeding history. Combined, there is a clear need for an easy-to-use, flexible tool that allows standardized data processing and preferably, monitoring of genetic diversity as well. To fill these gaps, we developed the R-package variantscanR that allows an easy and straightforward identification and prioritization of known phenotype-associated variants identified in dogs and other domestic animals. RESULTS: The R-package variantscanR enables the filtering of variant call format (VCF) files for the presence of known phenotype-associated variants and allows for the estimation of genetic diversity using multi-sample VCF files. Next to this, additional functions are available for the quality control and processing of user-defined input files to make the workflow as easy and straightforward as possible. This user-friendly approach enables the standardisation of complex data analysis in clinical settings. CONCLUSION: We developed an R-package for the identification of known phenotype-associated variants and calculation of genetic diversity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-023-05426-6. |
format | Online Article Text |
id | pubmed-10394849 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103948492023-08-03 VariantscanR: an R-package as a clinical tool for variant filtering of known phenotype-associated variants in domestic animals Boeykens, Fréderique Bhatti, Sofie F. M. Peelman, Luc Broeckx, Bart J. G. BMC Bioinformatics Software BACKGROUND: Since the introduction of next-generation sequencing (NGS) techniques, whole-exome sequencing (WES) and whole-genome sequencing (WGS) have not only revolutionized research, but also diagnostics. The gradual switch from single gene testing to WES and WGS required a different set of skills, given the amount and type of data generated, while the demand for standardization remained. However, most of the tools currently available are solely applicable for human analysis because they require access to specific databases and/or simply do not support other species. Additionally, a complicating factor in clinical genetics in animals is that genetic diversity is often dangerously low due to the breeding history. Combined, there is a clear need for an easy-to-use, flexible tool that allows standardized data processing and preferably, monitoring of genetic diversity as well. To fill these gaps, we developed the R-package variantscanR that allows an easy and straightforward identification and prioritization of known phenotype-associated variants identified in dogs and other domestic animals. RESULTS: The R-package variantscanR enables the filtering of variant call format (VCF) files for the presence of known phenotype-associated variants and allows for the estimation of genetic diversity using multi-sample VCF files. Next to this, additional functions are available for the quality control and processing of user-defined input files to make the workflow as easy and straightforward as possible. This user-friendly approach enables the standardisation of complex data analysis in clinical settings. CONCLUSION: We developed an R-package for the identification of known phenotype-associated variants and calculation of genetic diversity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-023-05426-6. BioMed Central 2023-08-01 /pmc/articles/PMC10394849/ /pubmed/37528412 http://dx.doi.org/10.1186/s12859-023-05426-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Software Boeykens, Fréderique Bhatti, Sofie F. M. Peelman, Luc Broeckx, Bart J. G. VariantscanR: an R-package as a clinical tool for variant filtering of known phenotype-associated variants in domestic animals |
title | VariantscanR: an R-package as a clinical tool for variant filtering of known phenotype-associated variants in domestic animals |
title_full | VariantscanR: an R-package as a clinical tool for variant filtering of known phenotype-associated variants in domestic animals |
title_fullStr | VariantscanR: an R-package as a clinical tool for variant filtering of known phenotype-associated variants in domestic animals |
title_full_unstemmed | VariantscanR: an R-package as a clinical tool for variant filtering of known phenotype-associated variants in domestic animals |
title_short | VariantscanR: an R-package as a clinical tool for variant filtering of known phenotype-associated variants in domestic animals |
title_sort | variantscanr: an r-package as a clinical tool for variant filtering of known phenotype-associated variants in domestic animals |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394849/ https://www.ncbi.nlm.nih.gov/pubmed/37528412 http://dx.doi.org/10.1186/s12859-023-05426-6 |
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