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.
PFZ11B05_PFZ11B05
PFZ11B05_PFZ11B05 is a German Shorthaired Pointer from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ11B05_PFZ11B05 in the atlasPFZ11B05_PFZ11B05 sits near the center of the German Shorthaired Pointer cluster - genetically very typical for the breed.
- Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries one copy of the FGF4 chondrodysplasia retrogene.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ11B05_PFZ11B05's. Click any of them to keep exploring.
PFZ11B05_PFZ11B05 sits in the Vizsla cluster, with genome overlap to Gordon Setter, 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.
- Vizsla 45%
- Gordon Setter 36%
- Golden Retriever 20%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: German Shorthaired Pointer.
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 0.182
z 1.850
The 3 PCs on which PFZ11B05_PFZ11B05 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr19:30,132,204 loading 0.0320
- chr25:21,796,415 loading -0.0316
- chr3:5,565,848 loading 0.0303
- chr34:1,919,265 loading 0.0369
- chr34:2,440,834 loading -0.0368
- chr34:1,346,136 loading 0.0366
- chr19:7,211,690 loading 0.0376
- chr19:7,271,993 loading 0.0341
- chr27:40,183,759 loading 0.0317