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.
PFZ2C05_PFZ2C05
PFZ2C05_PFZ2C05 is a Peruvian Inca Orchid from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ2C05_PFZ2C05 in the atlasPFZ2C05_PFZ2C05 sits well inside the Peruvian Inca Orchid 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.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to PFZ2C05_PFZ2C05's. Click any of them to keep exploring.
PFZ2C05_PFZ2C05 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 56%
- Labrador Retriever 44%
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 1.864
The 3 PCs on which PFZ2C05_PFZ2C05 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr7:62,094,557 loading 0.0330
- chr17:4,233,511 loading -0.0324
- chr28:21,567,516 loading 0.0320
- chr25:28,817,053 loading 0.0428
- chr25:4,418,784 loading 0.0393
- chr25:26,660,651 loading 0.0386
- chr23:32,351,248 loading 0.0384
- chr7:40,629,884 loading 0.0327
- chr21:33,590,242 loading -0.0320