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.
PFZ1E12_PFZ1E12
PFZ1E12_PFZ1E12 is a Peruvian Inca Orchid from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ1E12_PFZ1E12 in the atlasPFZ1E12_PFZ1E12 sits well inside the Peruvian Inca Orchid cluster - a fairly typical example.
- Predicted medium by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries one copy of the FGF4 chondrodysplasia retrogene.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ1E12_PFZ1E12's. Click any of them to keep exploring.
PFZ1E12_PFZ1E12 sits in the Golden Retriever 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.
- Golden Retriever 59%
- Labrador Retriever 41%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Peruvian Inca Orchid.
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 1.465
z 2.029
The 3 PCs on which PFZ1E12_PFZ1E12 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr18:10,316,807 loading 0.0412
- chr18:49,993,975 loading -0.0328
- chr4:32,494,543 loading 0.0323
- chr25:1,742,133 loading 0.0401
- chr28:2,607,542 loading 0.0393
- chr25:1,819,027 loading 0.0392
- chr25:28,817,053 loading 0.0428
- chr25:4,418,784 loading 0.0393
- chr25:26,660,651 loading 0.0386