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_109
CNPP_CNPP_109 is a Feral Dog Capeyork from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See CNPP_CNPP_109 in the atlasCNPP_CNPP_109 sits at the edge of the Feral Dog Capeyork cluster but still well within it.
- Predicted small 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_109's. Click any of them to keep exploring.
CNPP_CNPP_109 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 66%
- Golden Retriever 34%
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 4.133
z 6.043
The 3 PCs on which CNPP_CNPP_109 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr9:12,031,144 loading 0.0367
- chr13:1,840,654 loading -0.0344
- chr9:14,628,871 loading -0.0343
- chr17:4,173,842 loading 0.0386
- chr17:4,233,511 loading 0.0332
- chr20:7,717,784 loading -0.0325
- chr4:74,176,809 loading 0.0309
- chr3:63,796,388 loading 0.0306
- chr7:9,211,951 loading 0.0296