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.
PFZ8E12_PFZ8E12
PFZ8E12_PFZ8E12 is a Chinese Shar Pei from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ8E12_PFZ8E12 in the atlasPFZ8E12_PFZ8E12 sits well inside the Chinese Shar Pei cluster - a fairly typical example.
- Predicted small 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 PFZ8E12_PFZ8E12's. Click any of them to keep exploring.
PFZ8E12_PFZ8E12 sits in the Chinese Shar Pei 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.
- Chinese Shar Pei 93%
- Golden Retriever 7%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Chinese Shar Pei.
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 3.218
z 5.440
The 3 PCs on which PFZ8E12_PFZ8E12 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr6:60,987,558 loading 0.0302
- chr18:25,790,852 loading 0.0293
- chr14:14,074,192 loading -0.0293
- chr6:16,267,511 loading 0.0413
- chr6:16,208,125 loading 0.0394
- chr6:17,304,623 loading -0.0387
- chr6:1,658,873 loading 0.0279
- chr6:1,741,489 loading 0.0277
- chr27:35,211,437 loading -0.0271