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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...

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Autores principales: Gao, Yingjie, Yang, Zhiquan, Yang, Wenqian, Yang, Yanbo, Gong, Jing, Yang, Qing-Yong, Niu, Xiaohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
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.
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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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