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.
SLAV_SLAV_1
SLAV_SLAV_1 is labelled Village Dog Slavic in the Spatola cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See SLAV_SLAV_1 in the atlasSLAV_SLAV_1 sits at the edge of the Village Dog Slavic cluster but still well within it.
- Predicted medium by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries both copies of the FGF4 chondrodysplasia retrogene - the short-leg variant in Dachshund, Pembroke Corgi, Basset Hound.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to SLAV_SLAV_1's. Click any of them to keep exploring.
SLAV_SLAV_1'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 59%
- Golden Retriever 41%
From the CanVAS (Spatola cohort) . Breed-page reference: Village Dog Slavic.
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 5.386
z 4.477
The 3 PCs on which SLAV_SLAV_1 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr9:17,840,166 loading 0.0300
- chr9:50,441,577 loading 0.0297
- chr15:28,843,971 loading -0.0296
- chr23:12,238,858 loading 0.0365
- chr30:3,110,542 loading 0.0349
- chr26:5,761,213 loading -0.0320
- chr1:60,626,811 loading 0.0345
- chr1:60,550,367 loading 0.0321
- chr7:17,102,947 loading 0.0300