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Dog10K: an integrated Dog10K database summarizing canine multi-omics.

Tong Zhou1,2, Shao-Yan Pu1,3,4, Shao-Jie Zhang1,5

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The Dog10K database offers a comprehensive resource for canine genetics, integrating diverse omics data to explore breed diversity, disease, and behavior. This platform aids researchers in understanding complex traits and canine evolution.

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Area of Science:

  • Canine genomics
  • Comparative genomics
  • Bioinformatics

Background:

  • Canine breeds exhibit significant phenotypic diversity and susceptibility to heritable disorders.
  • This makes dogs a valuable model for studying complex traits and human diseases.
  • Understanding the genetic basis of canine diversity is crucial for both veterinary and human medicine.

Purpose of the Study:

  • To establish a comprehensive, user-friendly database of canine multi-omics data.
  • To facilitate research into the genetic underpinnings of phenotypic diversity, disease, behavior, and domestication in dogs.
  • To provide a foundational platform for analyzing and utilizing canine genetic information.

Main Methods:

  • Integration of single nucleotide variants (SNVs) from 1987 canine genomes.
  • Inclusion of de-novo mutations (DNMs) from 43 dog breeds with high-coverage sequencing.
  • Incorporation of RNA-sequencing data from single nuclei (hippocampus) and single cells (leukocytes), along with blood samples.

Main Results:

  • The Dog10K database consolidates extensive canine genomic and transcriptomic data.
  • It offers integrated visualization, statistics, browsing, searching, and downloading functionalities.
  • Three analysis tools (Selscan, LiftOver, AgeConversion) are provided for custom data exploration.

Conclusions:

  • The Dog10K database serves as a vital resource for canine genetic research.
  • It enables deeper insights into canine phenotypic diversity, disease genetics, and evolutionary history.
  • This platform will accelerate the analysis and application of canine multi-omics data in scientific studies.