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Animal-ImputeDB: a comprehensive database with multiple animal reference panels for genotype imputation
Animal-ImputeDB (http://gong_lab.hzau.edu.cn/Animal_ImputeDB/) is a public database with genomic reference panels of 13 animal species for online genotype imputation, genetic variant search, and free download. Genotype imputation is a process of estimating missing genotypes in terms of the haplotype...
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/PMC6943029/ https://www.ncbi.nlm.nih.gov/pubmed/31584087 http://dx.doi.org/10.1093/nar/gkz854 |
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author | Yang, Wenqian Yang, Yanbo Zhao, Cecheng Yang, Kun Wang, Dongyang Yang, Jiajun Niu, Xiaohui Gong, Jing |
author_facet | Yang, Wenqian Yang, Yanbo Zhao, Cecheng Yang, Kun Wang, Dongyang Yang, Jiajun Niu, Xiaohui Gong, Jing |
author_sort | Yang, Wenqian |
collection | PubMed |
description | Animal-ImputeDB (http://gong_lab.hzau.edu.cn/Animal_ImputeDB/) is a public database with genomic reference panels of 13 animal species for online genotype imputation, genetic variant search, and free download. Genotype imputation is a process of estimating missing genotypes in terms of the haplotypes and genotypes in a reference panel. It can effectively increase the density of single nucleotide polymorphisms (SNPs) and thus can be widely used in large-scale genome-wide association studies (GWASs) using relatively inexpensive and low-density SNP arrays. However, most animals except humans lack high-quality reference panels, which greatly limits the application of genotype imputation in animals. To overcome this limitation, we developed Animal-ImputeDB, which is dedicated to collecting genotype data and whole-genome resequencing data of nonhuman animals from various studies and databases. A computational pipeline was developed to process different types of raw data to construct reference panels. Finally, 13 high-quality reference panels including ∼400 million SNPs from 2265 samples were constructed. In Animal-ImputeDB, an easy-to-use online tool consisting of two popular imputation tools was designed for the purpose of genotype imputation. Collectively, Animal-ImputeDB serves as an important resource for animal genotype imputation and will greatly facilitate research on animal genomic selection and genetic improvement. |
format | Online Article Text |
id | pubmed-6943029 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-69430292020-01-08 Animal-ImputeDB: a comprehensive database with multiple animal reference panels for genotype imputation Yang, Wenqian Yang, Yanbo Zhao, Cecheng Yang, Kun Wang, Dongyang Yang, Jiajun Niu, Xiaohui Gong, Jing Nucleic Acids Res Database Issue Animal-ImputeDB (http://gong_lab.hzau.edu.cn/Animal_ImputeDB/) is a public database with genomic reference panels of 13 animal species for online genotype imputation, genetic variant search, and free download. Genotype imputation is a process of estimating missing genotypes in terms of the haplotypes and genotypes in a reference panel. It can effectively increase the density of single nucleotide polymorphisms (SNPs) and thus can be widely used in large-scale genome-wide association studies (GWASs) using relatively inexpensive and low-density SNP arrays. However, most animals except humans lack high-quality reference panels, which greatly limits the application of genotype imputation in animals. To overcome this limitation, we developed Animal-ImputeDB, which is dedicated to collecting genotype data and whole-genome resequencing data of nonhuman animals from various studies and databases. A computational pipeline was developed to process different types of raw data to construct reference panels. Finally, 13 high-quality reference panels including ∼400 million SNPs from 2265 samples were constructed. In Animal-ImputeDB, an easy-to-use online tool consisting of two popular imputation tools was designed for the purpose of genotype imputation. Collectively, Animal-ImputeDB serves as an important resource for animal genotype imputation and will greatly facilitate research on animal genomic selection and genetic improvement. Oxford University Press 2020-01-08 2019-10-04 /pmc/articles/PMC6943029/ /pubmed/31584087 http://dx.doi.org/10.1093/nar/gkz854 Text en © The Author(s) 2019. 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 Yang, Wenqian Yang, Yanbo Zhao, Cecheng Yang, Kun Wang, Dongyang Yang, Jiajun Niu, Xiaohui Gong, Jing Animal-ImputeDB: a comprehensive database with multiple animal reference panels for genotype imputation |
title | Animal-ImputeDB: a comprehensive database with multiple animal reference panels for genotype imputation |
title_full | Animal-ImputeDB: a comprehensive database with multiple animal reference panels for genotype imputation |
title_fullStr | Animal-ImputeDB: a comprehensive database with multiple animal reference panels for genotype imputation |
title_full_unstemmed | Animal-ImputeDB: a comprehensive database with multiple animal reference panels for genotype imputation |
title_short | Animal-ImputeDB: a comprehensive database with multiple animal reference panels for genotype imputation |
title_sort | animal-imputedb: a comprehensive database with multiple animal reference panels for genotype imputation |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943029/ https://www.ncbi.nlm.nih.gov/pubmed/31584087 http://dx.doi.org/10.1093/nar/gkz854 |
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