Dog10K: Genome Sequencing of 1,987 Canids for Demography and Function Studies

A 2023 dataset from the Dog10K project provides genome sequences for 1,987 canids, including 1,611 dogs from 321 breeds, 309 village dogs, 63 wolves, and four coyotes. The analysis reports over 48 million single nucleotide, indel, and structural variants, with annotation for functional prioritization. The data, produced by Jeffrey M. Kidd at the University of Michigan, serves as a public imputation reference panel.

Use Cases

• Study canine domestication and breed relationships based on patterns of allele sharing across 25 major clades.
• Identify functional genetic variants associated with morphology or disease using SnpEff and Zoonomia phyloP constraint scores.
• Perform genotype imputation for breeds not directly sequenced, leveraging the dataset as a high-confidence reference panel.
• Analyze structural variant differences, such as insertions and deletions greater than 50bp, between breeds and wild canids.

Strengths

• Sequencing data from 1,987 individuals provides a broad sample of the canid family.
• Analysis includes over 48 million genomic variants, offering high density for discovery.
• Functional annotation with SnpEff and constraint scores aids in variant prioritization.
• The dataset captures more than 75% of variation for 239 sampled breeds.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

University of Michigan, Dog10K project

Collection Method

20x genome sequencing of collected samples.