AI portrait
This portrait was algorithmically built from this dog's genome: their genotype at 8 morphology loci (coat length, curl, color, ear set, body size, head shape, skull, furnishings) plus their position within the 14,478-dog atlas. The same dog always reproduces the same portrait. A different dog with different alleles gets a different portrait.
COOK_COOK_30388
COOK_COOK_30388 is labelled Village Dog Cook Islands in the Spatola cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See COOK_COOK_30388 in the atlasCOOK_COOK_30388 sits at the edge of the Village Dog Cook Islands cluster but still well within it.
- Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to COOK_COOK_30388's. Click any of them to keep exploring.
COOK_COOK_30388's genome decomposes mostly into Labrador Retriever, with additional weight on Golden Retriever.
Breed similarity from non-negative least squares against 91 breed centroids in PCA-256 space, corrected for atlas sample-size imbalance. Without correction, Goldens (22% of the atlas) leak into every dog's raw NNLS breakdown; with it, the bias falls out. Raw fractions stay in the dataset for re-derivation. Methodology.
- Labrador Retriever 51%
- Golden Retriever 49%
From the CanVAS (Spatola cohort) . Breed-page reference: Village Dog Cook Islands.
Full genotype detail click to expand
The actual allele call at each locus's representative SNP for this dog. Each gene name links to its page where you can see the per-breed frequency table and the direction of effect.
Technical details click to expand
The numbers behind the placement. Useful for researchers reproducing the math or debugging an unexpected position; not interesting to most readers.
y 13.441
z 12.456
The 3 PCs on which COOK_COOK_30388 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr22:2,157,682 loading 0.0351
- chr22:2,473,315 loading 0.0335
- chr22:2,367,358 loading 0.0330
- chr2:41,835,446 loading 0.0357
- chr2:40,086,289 loading 0.0341
- chr22:28,657,814 loading -0.0335
- chr19:4,037,398 loading 0.0415
- chr19:5,321,387 loading 0.0400
- chr19:5,388,895 loading -0.0395