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.
PFZ1F10_PFZ1F10
PFZ1F10_PFZ1F10 is a Peruvian Inca Orchid from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ1F10_PFZ1F10 in the atlasPFZ1F10_PFZ1F10 sits near the center of the Peruvian Inca Orchid cluster - genetically very typical for the breed.
- Predicted small 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 PFZ1F10_PFZ1F10's. Click any of them to keep exploring.
PFZ1F10_PFZ1F10 sits in the German Shepherd 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.
- German Shepherd 73%
- Golden Retriever 27%
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 1.521
z 1.782
The 3 PCs on which PFZ1F10_PFZ1F10 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr25:28,817,053 loading 0.0428
- chr25:4,418,784 loading 0.0393
- chr25:26,660,651 loading 0.0386
- chr17:4,173,842 loading 0.0406
- chr17:4,233,511 loading 0.0400
- chr17:4,353,120 loading 0.0343
- chr17:4,173,842 loading 0.0436
- chr17:4,233,511 loading 0.0413
- chr17:4,128,965 loading 0.0412