Animal-ImputeDB: a comprehensive database with multiple animal reference panels for genotype imputation

Author:

Yang Wenqian1,Yang Yanbo1,Zhao Cecheng1,Yang Kun1,Wang Dongyang1,Yang Jiajun1,Niu Xiaohui1,Gong Jing12

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

Abstract

Abstract 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.

Funder

National Natural Science Foundation of China

Huazhong Agricultural University Scientific & Technological Self-innovation Foundation

Fundamental Research Funds for the Central University

Publisher

Oxford University Press (OUP)

Subject

Genetics

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