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.
PFZ32C03_PFZ32C03
PFZ32C03_PFZ32C03 is a American Cocker Spaniel from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ32C03_PFZ32C03 in the atlasPFZ32C03_PFZ32C03 sits at the edge of the American Cocker Spaniel 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.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ32C03_PFZ32C03's. Click any of them to keep exploring.
PFZ32C03_PFZ32C03 sits in the American Cocker Spaniel cluster, with genome overlap to Labrador 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.
From the CanVAS (Hayward2016 cohort) . Breed-page reference: American Cocker Spaniel.
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 7.859
z 0.863
The 3 PCs on which PFZ32C03_PFZ32C03 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr12:32,936,523 loading 0.0310
- chr24:6,196,307 loading 0.0310
- chr24:10,982,162 loading 0.0302
- chr23:20,231,163 loading 0.0295
- chr22:42,651,822 loading -0.0294
- chr27:39,738,665 loading 0.0291
- chr22:725,951 loading 0.0351
- chr22:1,996,400 loading -0.0345
- chr22:902,803 loading 0.0335