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.
PFZ42C12_PFZ42C12
PFZ42C12_PFZ42C12 is labelled Village Dog Costa Rica in the Shannon cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See PFZ42C12_PFZ42C12 in the atlasPFZ42C12_PFZ42C12 sits well inside the Village Dog Costa Rica cluster - a fairly typical example.
- Predicted medium by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to PFZ42C12_PFZ42C12's. Click any of them to keep exploring.
PFZ42C12_PFZ42C12'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 55%
- Labrador Retriever 46%
From the CanVAS (Shannon cohort) . Breed-page reference: Village Dog Costa Rica.
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 1.596
z 2.227
The 3 PCs on which PFZ42C12_PFZ42C12 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr4:83,381,939 loading 0.0343
- chr10:64,946,466 loading 0.0322
- chr30:24,029,755 loading -0.0321
- chr3:3,559,803 loading 0.0324
- chr6:3,540,503 loading -0.0319
- chr15:3,475,065 loading 0.0316
- chr19:2,539,757 loading 0.0344
- chr3:6,392,552 loading -0.0326
- chr6:16,157,160 loading 0.0301