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Plant-ImputeDB: an integrated multiple plant reference panel database for genotype imputation
Genotype imputation is a process that estimates missing genotypes in terms of the haplotypes and genotypes in a reference panel. It can effectively increase the density of single nucleotide polymorphisms (SNPs), boost the power to identify genetic association and promote the combination of genetic s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779032/ https://www.ncbi.nlm.nih.gov/pubmed/33137192 http://dx.doi.org/10.1093/nar/gkaa953 |
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author | Gao, Yingjie Yang, Zhiquan Yang, Wenqian Yang, Yanbo Gong, Jing Yang, Qing-Yong Niu, Xiaohui |
author_facet | Gao, Yingjie Yang, Zhiquan Yang, Wenqian Yang, Yanbo Gong, Jing Yang, Qing-Yong Niu, Xiaohui |
author_sort | Gao, Yingjie |
collection | PubMed |
description | Genotype imputation is a process that estimates missing genotypes in terms of the haplotypes and genotypes in a reference panel. It can effectively increase the density of single nucleotide polymorphisms (SNPs), boost the power to identify genetic association and promote the combination of genetic studies. However, there has been a lack of high-quality reference panels for most plants, which greatly hinders the application of genotype imputation. Here, we developed Plant-ImputeDB (http://gong_lab.hzau.edu.cn/Plant_imputeDB/), a comprehensive database with reference panels of 12 plant species for online genotype imputation, SNP and block search and free download. By integrating genotype data and whole-genome resequencing data of plants from various studies and databases, the current Plant-ImputeDB provides high-quality reference panels of 12 plant species, including ∼69.9 million SNPs from 34 244 samples. It also provides an easy-to-use online tool with the option of two popular tools specifically designed for genotype imputation. In addition, Plant-ImputeDB accepts submissions of different types of genomic variations, and provides free and open access to all publicly available data in support of related research worldwide. In general, Plant-ImputeDB may serve as an important resource for plant genotype imputation and greatly facilitate the research on plant genetic research. |
format | Online Article Text |
id | pubmed-7779032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77790322021-01-07 Plant-ImputeDB: an integrated multiple plant reference panel database for genotype imputation Gao, Yingjie Yang, Zhiquan Yang, Wenqian Yang, Yanbo Gong, Jing Yang, Qing-Yong Niu, Xiaohui Nucleic Acids Res Database Issue Genotype imputation is a process that estimates missing genotypes in terms of the haplotypes and genotypes in a reference panel. It can effectively increase the density of single nucleotide polymorphisms (SNPs), boost the power to identify genetic association and promote the combination of genetic studies. However, there has been a lack of high-quality reference panels for most plants, which greatly hinders the application of genotype imputation. Here, we developed Plant-ImputeDB (http://gong_lab.hzau.edu.cn/Plant_imputeDB/), a comprehensive database with reference panels of 12 plant species for online genotype imputation, SNP and block search and free download. By integrating genotype data and whole-genome resequencing data of plants from various studies and databases, the current Plant-ImputeDB provides high-quality reference panels of 12 plant species, including ∼69.9 million SNPs from 34 244 samples. It also provides an easy-to-use online tool with the option of two popular tools specifically designed for genotype imputation. In addition, Plant-ImputeDB accepts submissions of different types of genomic variations, and provides free and open access to all publicly available data in support of related research worldwide. In general, Plant-ImputeDB may serve as an important resource for plant genotype imputation and greatly facilitate the research on plant genetic research. Oxford University Press 2020-11-02 /pmc/articles/PMC7779032/ /pubmed/33137192 http://dx.doi.org/10.1093/nar/gkaa953 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Gao, Yingjie Yang, Zhiquan Yang, Wenqian Yang, Yanbo Gong, Jing Yang, Qing-Yong Niu, Xiaohui Plant-ImputeDB: an integrated multiple plant reference panel database for genotype imputation |
title | Plant-ImputeDB: an integrated multiple plant reference panel database for genotype imputation |
title_full | Plant-ImputeDB: an integrated multiple plant reference panel database for genotype imputation |
title_fullStr | Plant-ImputeDB: an integrated multiple plant reference panel database for genotype imputation |
title_full_unstemmed | Plant-ImputeDB: an integrated multiple plant reference panel database for genotype imputation |
title_short | Plant-ImputeDB: an integrated multiple plant reference panel database for genotype imputation |
title_sort | plant-imputedb: an integrated multiple plant reference panel database for genotype imputation |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779032/ https://www.ncbi.nlm.nih.gov/pubmed/33137192 http://dx.doi.org/10.1093/nar/gkaa953 |
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