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.
ERUS_ERUS_111R
ERUS_ERUS_111R is labelled Village Dog East Russia in the Spatola cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See ERUS_ERUS_111R in the atlasERUS_ERUS_111R is a notable Village Dog East Russia - distinctive within the breed.
- Predicted large 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 ERUS_ERUS_111R's. Click any of them to keep exploring.
ERUS_ERUS_111R's genome decomposes mostly into Rottweiler, with additional weight on Labrador Retriever, and 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.
- Rottweiler 40%
- Labrador Retriever 36%
- Golden Retriever 24%
From the CanVAS (Spatola cohort) . Breed-page reference: Village Dog East Russia.
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 5.088
z 4.924
The 3 PCs on which ERUS_ERUS_111R 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
- chr23:37,041,440 loading 0.0347
- chr1:100,944,840 loading 0.0344
- chr1:101,382,836 loading -0.0320
- chr4:74,176,809 loading 0.0309
- chr3:63,796,388 loading 0.0306
- chr7:9,211,951 loading 0.0296