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

Wenqian Yang1, Yanbo Yang1, Cecheng Zhao1

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Animal-ImputeDB provides genomic reference panels for 13 animal species, enabling genotype imputation and genetic variant searches. This resource facilitates genomic selection and genetic improvement in animals by increasing SNP density for GWAS.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Animal Science

Background:

  • Genotype imputation enhances SNP density for Genome-Wide Association Studies (GWAS).
  • High-quality animal reference panels are scarce, limiting imputation applications.
  • Existing resources do not adequately support animal genotype imputation.

Purpose of the Study:

  • To develop Animal-ImputeDB, a public database for animal genotype imputation.
  • To create high-quality genomic reference panels for multiple animal species.
  • To provide an accessible online tool for genotype imputation and variant analysis.

Main Methods:

  • Collected and processed genotype and whole-genome resequencing data from diverse animal studies.
  • Developed a computational pipeline to construct robust reference panels.
  • Integrated two popular imputation tools into an online platform.

Main Results:

  • Constructed 13 high-quality reference panels with approximately 400 million SNPs from 2265 samples.
  • Established Animal-ImputeDB as a comprehensive resource for animal genomics.
  • Enabled online genotype imputation and genetic variant searching.

Conclusions:

  • Animal-ImputeDB addresses the lack of animal reference panels for genotype imputation.
  • The database and online tools will significantly advance animal genomic selection and breeding.
  • Facilitates large-scale GWAS and genetic improvement strategies in various animal species.