Plant-ImputeDB: an integrated multiple plant reference panel database for genotype imputation

Author:

Gao Yingjie1,Yang Zhiquan1,Yang Wenqian1,Yang Yanbo1,Gong Jing12ORCID,Yang Qing-Yong13,Niu Xiaohui1

Affiliation:

1. Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, P.R. China

2. College of Biomedicine and Health, Huazhong Agricultural University, Wuhan 430070, P.R. China

3. College of Agriculture, Shihezi University, Xinjiang 832003, P.R. China

Abstract

Abstract 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.

Funder

Fundamental Research Funds for the Central Universities

National Key Research and Development Plan, China

Huazhong Agricultural University Scientific & Technological Self - innovation Foundation

Publisher

Oxford University Press (OUP)

Subject

Genetics

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