Animal-SNPAtlas: a comprehensive SNP database for multiple animals

Author:

Gao Yingjie1,Jiang Guanghui1,Yang Wenqian1,Jin Weiwei1,Gong Jing12ORCID,Xu Xuewen3,Niu Xiaohui1ORCID

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 , China

3. Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education & College of Animal Science and Technology, Huazhong Agricultural University , Wuhan  430070, China

Abstract

Abstract Single-nucleotide polymorphisms (SNPs) as the most important type of genetic variation are widely used in describing population characteristics and play vital roles in animal genetics and breeding. Large amounts of population genetic variation resources and tools have been developed in human, which provided solid support for human genetic studies. However, compared with human, the development of animal genetic variation databases was relatively slow, which limits the genetic researches in these animals. To fill this gap, we systematically identified ∼ 499 million high-quality SNPs from 4784 samples of 20 types of animals. On that basis, we annotated the functions of SNPs, constructed high-density reference panels and calculated genome-wide linkage disequilibrium (LD) matrixes. We further developed Animal-SNPAtlas, a user-friendly database (http://gong_lab.hzau.edu.cn/Animal_SNPAtlas/) which includes high-quality SNP datasets and several support tools for multiple animals. In Animal-SNPAtlas, users can search the functional annotation of SNPs, perform online genotype imputation, explore and visualize LD information, browse variant information using the genome browser and download SNP datasets for each species. With the massive SNP datasets and useful tools, Animal-SNPAtlas will be an important fundamental resource for the animal genomics, genetics and breeding community.

Funder

National Key Research and Development Program of China

Scientific & Technological Self-innovation Foundation

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Genetics

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