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.
KAZ_KAZ_5KZ
KAZ_KAZ_5KZ is labelled Village Dog Kazakhstan in the Spatola cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See KAZ_KAZ_5KZ in the atlasKAZ_KAZ_5KZ sits near the center of the Village Dog Kazakhstan cluster - genetically very typical for the breed.
- Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries one copy of the FGF4 chondrodysplasia retrogene.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to KAZ_KAZ_5KZ's. Click any of them to keep exploring.
KAZ_KAZ_5KZ'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 53%
- Golden Retriever 47%
From the CanVAS (Spatola cohort) . Breed-page reference: Village Dog Kazakhstan.
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 5.195
z 5.296
The 3 PCs on which KAZ_KAZ_5KZ scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr13:43,330,325 loading 0.0255
- chr17:50,562,684 loading 0.0245
- chr19:34,146,978 loading 0.0244
- chr31:24,034,799 loading 0.0198
- chr4:6,597,969 loading 0.0191
- chr4:12,554,691 loading 0.0189
- chr22:2,157,682 loading 0.0351
- chr22:2,473,315 loading 0.0335
- chr22:2,367,358 loading 0.0330