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.
PFZ2H04_PFZ2H04
PFZ2H04_PFZ2H04 is labelled Village Dog Peru Puno in the Hayward2016 cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See PFZ2H04_PFZ2H04 in the atlasPFZ2H04_PFZ2H04 sits well inside the Village Dog Peru Puno cluster - a fairly typical example.
- Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ2H04_PFZ2H04's. Click any of them to keep exploring.
PFZ2H04_PFZ2H04's genome decomposes mostly into Golden Retriever, with additional weight on Labrador 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.
- Golden Retriever 59%
- Labrador Retriever 41%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Village Dog Peru Puno.
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 1.349
z 1.837
The 3 PCs on which PFZ2H04_PFZ2H04 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr22:27,265,197 loading 0.0431
- chr5:72,529,391 loading 0.0328
- chr10:5,349,288 loading 0.0317
- chr25:3,195,036 loading 0.0485
- chr25:4,418,784 loading -0.0459
- chr25:3,349,555 loading 0.0401
- chr11:18,600,601 loading 0.0312
- chr14:14,201,384 loading 0.0302
- chr3:6,077,116 loading -0.0298