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Adapting Genotyping-by-Sequencing and Variant Calling for Heterogeneous Stock Rats
The heterogeneous stock (HS) is an outbred rat population derived from eight inbred rat strains. HS rats are ideally suited for genome wide association studies; however, only a few genotyping microarrays have ever been designed for rats and none of them are currently in production. To address the ne...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Genetics Society of America
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341140/ https://www.ncbi.nlm.nih.gov/pubmed/32398234 http://dx.doi.org/10.1534/g3.120.401325 |
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author | Gileta, Alexander F. Gao, Jianjun Chitre, Apurva S. Bimschleger, Hannah V. St. Pierre, Celine L. Gopalakrishnan, Shyam Palmer, Abraham A. |
author_facet | Gileta, Alexander F. Gao, Jianjun Chitre, Apurva S. Bimschleger, Hannah V. St. Pierre, Celine L. Gopalakrishnan, Shyam Palmer, Abraham A. |
author_sort | Gileta, Alexander F. |
collection | PubMed |
description | The heterogeneous stock (HS) is an outbred rat population derived from eight inbred rat strains. HS rats are ideally suited for genome wide association studies; however, only a few genotyping microarrays have ever been designed for rats and none of them are currently in production. To address the need for an efficient and cost effective method of genotyping HS rats, we have adapted genotype-by-sequencing (GBS) to obtain genotype information at large numbers of single nucleotide polymorphisms (SNPs). In this paper, we have outlined the laboratory and computational steps we took to optimize double digest genotype-by-sequencing (ddGBS) for use in rats. We evaluated multiple existing computational tools and explain the workflow we have used to call and impute over 3.7 million SNPs. We have also compared various rat genetic maps, which are necessary for imputation, including a recently developed map specific to the HS. Using our approach, we obtained concordance rates of 99% with data obtained using data from a genotyping array. The principles and computational pipeline that we describe could easily be adapted for use in other species for which reliable reference genome sets are available. |
format | Online Article Text |
id | pubmed-7341140 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-73411402020-07-23 Adapting Genotyping-by-Sequencing and Variant Calling for Heterogeneous Stock Rats Gileta, Alexander F. Gao, Jianjun Chitre, Apurva S. Bimschleger, Hannah V. St. Pierre, Celine L. Gopalakrishnan, Shyam Palmer, Abraham A. G3 (Bethesda) Software and Data Resources The heterogeneous stock (HS) is an outbred rat population derived from eight inbred rat strains. HS rats are ideally suited for genome wide association studies; however, only a few genotyping microarrays have ever been designed for rats and none of them are currently in production. To address the need for an efficient and cost effective method of genotyping HS rats, we have adapted genotype-by-sequencing (GBS) to obtain genotype information at large numbers of single nucleotide polymorphisms (SNPs). In this paper, we have outlined the laboratory and computational steps we took to optimize double digest genotype-by-sequencing (ddGBS) for use in rats. We evaluated multiple existing computational tools and explain the workflow we have used to call and impute over 3.7 million SNPs. We have also compared various rat genetic maps, which are necessary for imputation, including a recently developed map specific to the HS. Using our approach, we obtained concordance rates of 99% with data obtained using data from a genotyping array. The principles and computational pipeline that we describe could easily be adapted for use in other species for which reliable reference genome sets are available. Genetics Society of America 2020-07-23 /pmc/articles/PMC7341140/ /pubmed/32398234 http://dx.doi.org/10.1534/g3.120.401325 Text en Copyright © 2020 Gileta et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article 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 the original work is properly cited. |
spellingShingle | Software and Data Resources Gileta, Alexander F. Gao, Jianjun Chitre, Apurva S. Bimschleger, Hannah V. St. Pierre, Celine L. Gopalakrishnan, Shyam Palmer, Abraham A. Adapting Genotyping-by-Sequencing and Variant Calling for Heterogeneous Stock Rats |
title | Adapting Genotyping-by-Sequencing and Variant Calling for Heterogeneous Stock Rats |
title_full | Adapting Genotyping-by-Sequencing and Variant Calling for Heterogeneous Stock Rats |
title_fullStr | Adapting Genotyping-by-Sequencing and Variant Calling for Heterogeneous Stock Rats |
title_full_unstemmed | Adapting Genotyping-by-Sequencing and Variant Calling for Heterogeneous Stock Rats |
title_short | Adapting Genotyping-by-Sequencing and Variant Calling for Heterogeneous Stock Rats |
title_sort | adapting genotyping-by-sequencing and variant calling for heterogeneous stock rats |
topic | Software and Data Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341140/ https://www.ncbi.nlm.nih.gov/pubmed/32398234 http://dx.doi.org/10.1534/g3.120.401325 |
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