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.
Chern_City_Chern_City_153
Chern_City_Chern_City_153 is a Feral Dog Chernobyl from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See Chern_City_Chern_City_153 in the atlasChern_City_Chern_City_153 is a notable Feral Dog Chernobyl - distinctive within the breed.
- Predicted large 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.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to Chern_City_Chern_City_153's. Click any of them to keep exploring.
Chern_City_Chern_City_153 sits firmly in the Golden Retriever cluster.
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.
- Golden Retriever 100%
From the CanVAS (Spatola cohort) . Breed-page reference: Feral Dog Chernobyl.
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 3.862
z 5.459
The 3 PCs on which Chern_City_Chern_City_153 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr17:4,173,842 loading 0.0386
- chr17:4,233,511 loading 0.0332
- chr20:7,717,784 loading -0.0325
- chr9:12,031,144 loading 0.0367
- chr13:1,840,654 loading -0.0344
- chr9:14,628,871 loading -0.0343
- chr28:1,724,663 loading 0.0466
- chr28:1,967,976 loading -0.0397
- chr28:2,486,426 loading -0.0376