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.
PFZ2G10_PFZ2G10
PFZ2G10_PFZ2G10 is labelled Village Dog Peru Loreto in the Shannon cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See PFZ2G10_PFZ2G10 in the atlasPFZ2G10_PFZ2G10 sits well inside the Village Dog Peru Loreto cluster - a fairly typical example.
- Predicted medium 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.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ2G10_PFZ2G10's. Click any of them to keep exploring.
PFZ2G10_PFZ2G10's genome decomposes mostly into German Shepherd, with additional weight on Golden Retriever.
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 75%
- Golden Retriever 25%
From the CanVAS (Shannon cohort) . Breed-page reference: Village Dog Peru Loreto.
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 1.508
z 1.684
The 3 PCs on which PFZ2G10_PFZ2G10 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr6:57,387,289 loading 0.0303
- chr14:13,904,420 loading -0.0294
- chr30:3,709,721 loading 0.0293
- chr14:37,146,317 loading 0.0319
- chr1:49,304,485 loading -0.0313
- chr1:61,522,946 loading -0.0291
- chr21:31,645,739 loading 0.0387
- chr21:34,014,573 loading -0.0385
- chr26:6,573,837 loading 0.0382