Published in Nucleic Acids Research, Tong Zhou and colleagues developed the Dog10K database to centralize and present extensive canine genomic, transcriptomic, and mutation data. The project supports investigations into canine phenotypic diversity, inherited disorders, domestication history, and behavioral traits using high-resolution biological data.
The database integrates single nucleotide variants from 1,987 canine genomes, de-novo mutations from 43 breeds, and RNA-seq data from over 105,000 single hippocampal nuclei, enabling unprecedented access to molecular patterns linked to cognition, disease, and emotional regulation. It also includes immune cell and blood sample datasets to support health, behavior, and veterinary research.
To facilitate custom exploration, Dog10K features three embedded tools—Selscan, LiftOver, and AgeConversion—allowing researchers to analyze selection signatures, convert genomic coordinates, and calculate age equivalencies. These tools enhance usability and support cross-species comparisons, making the database valuable for both canine and human biomedical modeling.
By providing visualization tools, genomic browsing, and downloadable datasets, the Dog10K platform empowers researchers to study complex traits, behavioral genetics, and evolutionary biology with greater precision. This centralized dataset strengthens canine research and opens new pathways for understanding genetics-driven behavior, disease susceptibility, and domestication.
Source: Zhou, T., Pu, S-Y., Wang, G. et al. (2024). Dog10K: an integrated Dog10K database summarizing canine multi-omics. Nucleic Acids Research. Published October 21, 2024.
