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.
PFZ17A02_PFZ17A02
PFZ17A02_PFZ17A02 is a Toy Fox Terrier from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ17A02_PFZ17A02 in the atlasPFZ17A02_PFZ17A02 sits near the center of the Toy Fox Terrier 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.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to PFZ17A02_PFZ17A02's. Click any of them to keep exploring.
PFZ17A02_PFZ17A02 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 54%
- Labrador Retriever 46%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Toy Fox Terrier.
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 1.213
z 2.308
The 3 PCs on which PFZ17A02_PFZ17A02 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr23:12,238,858 loading 0.0365
- chr30:3,110,542 loading 0.0349
- chr26:5,761,213 loading -0.0320
- chr3:6,234,729 loading 0.0318
- chr23:19,305,339 loading 0.0317
- chr19:17,376,904 loading 0.0316
- chr34:1,919,265 loading 0.0369
- chr34:2,440,834 loading -0.0368
- chr34:1,346,136 loading 0.0366