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.
PFZ1G09_PFZ1G09
PFZ1G09_PFZ1G09 is a Peruvian Inca Orchid from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ1G09_PFZ1G09 in the atlasPFZ1G09_PFZ1G09 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 PFZ1G09_PFZ1G09's. Click any of them to keep exploring.
PFZ1G09_PFZ1G09 sits in the German Shepherd cluster, with genome overlap to Belgian Shepherd, and 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 48%
- Belgian Shepherd 37%
- Golden Retriever 16%
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 1.547
z 1.622
The 3 PCs on which PFZ1G09_PFZ1G09 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr17:4,173,842 loading 0.0340
- chr34:2,125,452 loading 0.0333
- chr17:4,128,965 loading 0.0327
- chr10:1,924,717 loading 0.0382
- chr10:1,676,762 loading 0.0377
- chr30:3,709,721 loading 0.0366
- chr2:41,835,446 loading 0.0357
- chr2:40,086,289 loading 0.0341
- chr22:28,657,814 loading -0.0335