Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, P. R. China.
College of Biomedicine and Health, Huazhong Agricultural University, Wuhan 430070, P. R. China.
Nucleic Acids Res. 2020 Jan 8;48(D1):D659-D667. doi: 10.1093/nar/gkz854.
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.
Animal-ImputeDB(http://gong_lab.hzau.edu.cn/Animal_ImputeDB/)是一个公开数据库,包含 13 种动物的基因组参考面板,用于在线基因型推断、遗传变异搜索和免费下载。基因型推断是根据参考面板中的单倍型和基因型来估计缺失基因型的过程。它可以有效地增加单核苷酸多态性(SNP)的密度,因此可以广泛应用于使用相对廉价和低密度 SNP 阵列的大规模全基因组关联研究(GWAS)。然而,除人类以外的大多数动物缺乏高质量的参考面板,这极大地限制了基因型推断在动物中的应用。为了克服这一限制,我们开发了 Animal-ImputeDB,它致力于收集来自各种研究和数据库的非人类动物的基因型数据和全基因组重测序数据。开发了一个计算流程来处理不同类型的原始数据以构建参考面板。最后,构建了 13 个高质量的参考面板,包含来自 2265 个样本的约 4 亿个 SNP。在 Animal-ImputeDB 中,设计了一个易于使用的在线工具,包含两种流行的推断工具,用于基因型推断。总之,Animal-ImputeDB 是动物基因型推断的重要资源,将极大地促进动物基因组选择和遗传改良的研究。