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.
CNPP_CNPP_24
CNPP_CNPP_24 is a Feral Dog Capeyork from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See CNPP_CNPP_24 in the atlasCNPP_CNPP_24 sits well inside the Feral Dog Capeyork cluster - a fairly typical example.
- 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 CNPP_CNPP_24's. Click any of them to keep exploring.
CNPP_CNPP_24 sits in the Labrador Retriever cluster, with genome overlap to Golden Retriever - sister breeds nearby in the atlas.
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 54%
- Golden Retriever 46%
From the CanVAS (Spatola cohort) . Breed-page reference: Feral Dog Capeyork.
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 4.268
z 5.668
The 3 PCs on which CNPP_CNPP_24 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr13:7,517,248 loading 0.0370
- chr13:1,243,516 loading -0.0357
- chr3:3,383,464 loading 0.0349
- chr23:1,615,600 loading 0.0324
- chr16:44,022,534 loading 0.0322
- chr20:3,540,281 loading -0.0307
- chr23:37,041,440 loading 0.0347
- chr1:100,944,840 loading 0.0344
- chr1:101,382,836 loading -0.0320