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An R package for SNP marker-based parent-offspring tests

BACKGROUND: With the advancement of genotyping technologies, whole genome and high-density SNP markers have been widely used for genotyping of mapping populations and for characterization of germplasm lines in many crops. Before conducting SNP data analysis, it is necessary to check the individuals...

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Autores principales: Abdel-Haleem, Hussein, Ji, Pengsheng, Boerma, H Roger, Li, Zenglu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3842643/
https://www.ncbi.nlm.nih.gov/pubmed/24245988
http://dx.doi.org/10.1186/1746-4811-9-44
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author Abdel-Haleem, Hussein
Ji, Pengsheng
Boerma, H Roger
Li, Zenglu
author_facet Abdel-Haleem, Hussein
Ji, Pengsheng
Boerma, H Roger
Li, Zenglu
author_sort Abdel-Haleem, Hussein
collection PubMed
description BACKGROUND: With the advancement of genotyping technologies, whole genome and high-density SNP markers have been widely used for genotyping of mapping populations and for characterization of germplasm lines in many crops. Before conducting SNP data analysis, it is necessary to check the individuals to ensure the integrity of lines for further data analysis. RESULTS: We have developed an R package to conduct a parent-offspring test of individuals which are genotyped with a fixed set of SNP markers for further genetic studies. The program uses monomorphic SNP loci between parents and their progeny genotypes to calculate the similarity between each offspring and their parents. Based on the similarity of parents and individual offspring, the users can determine the threshold level for the individuals to be included for further data analysis. We used an F(5)-derived soybean population of ‘5601T’ x PI 157440 that was genotyped with 1,536 SNPs to illustrate the procedure and its application. CONCLUSIONS: The R package ‘ParentOffspring’ coupled with the available SNP genotyping platforms could be used to detect the possible variants in a specific cross, as well as the potential errors in sample handling and genotyping processes. It can be used in any crop which is genotyped with a fixed set of SNP markers.
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spelling pubmed-38426432013-12-06 An R package for SNP marker-based parent-offspring tests Abdel-Haleem, Hussein Ji, Pengsheng Boerma, H Roger Li, Zenglu Plant Methods Software BACKGROUND: With the advancement of genotyping technologies, whole genome and high-density SNP markers have been widely used for genotyping of mapping populations and for characterization of germplasm lines in many crops. Before conducting SNP data analysis, it is necessary to check the individuals to ensure the integrity of lines for further data analysis. RESULTS: We have developed an R package to conduct a parent-offspring test of individuals which are genotyped with a fixed set of SNP markers for further genetic studies. The program uses monomorphic SNP loci between parents and their progeny genotypes to calculate the similarity between each offspring and their parents. Based on the similarity of parents and individual offspring, the users can determine the threshold level for the individuals to be included for further data analysis. We used an F(5)-derived soybean population of ‘5601T’ x PI 157440 that was genotyped with 1,536 SNPs to illustrate the procedure and its application. CONCLUSIONS: The R package ‘ParentOffspring’ coupled with the available SNP genotyping platforms could be used to detect the possible variants in a specific cross, as well as the potential errors in sample handling and genotyping processes. It can be used in any crop which is genotyped with a fixed set of SNP markers. BioMed Central 2013-11-19 /pmc/articles/PMC3842643/ /pubmed/24245988 http://dx.doi.org/10.1186/1746-4811-9-44 Text en Copyright © 2013 Abdel-Haleem et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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
Abdel-Haleem, Hussein
Ji, Pengsheng
Boerma, H Roger
Li, Zenglu
An R package for SNP marker-based parent-offspring tests
title An R package for SNP marker-based parent-offspring tests
title_full An R package for SNP marker-based parent-offspring tests
title_fullStr An R package for SNP marker-based parent-offspring tests
title_full_unstemmed An R package for SNP marker-based parent-offspring tests
title_short An R package for SNP marker-based parent-offspring tests
title_sort r package for snp marker-based parent-offspring tests
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3842643/
https://www.ncbi.nlm.nih.gov/pubmed/24245988
http://dx.doi.org/10.1186/1746-4811-9-44
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