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.
PFZ42B12_PFZ42B12
PFZ42B12_PFZ42B12 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 PFZ42B12_PFZ42B12 in the atlasPFZ42B12_PFZ42B12 sits well inside the Village Dog Costa Rica cluster - a fairly typical example.
- Predicted large 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.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ42B12_PFZ42B12's. Click any of them to keep exploring.
PFZ42B12_PFZ42B12 pulls strongly toward the Golden Retriever cluster.
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 100%
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 1.473
z 1.995
The 3 PCs on which PFZ42B12_PFZ42B12 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr3:37,847,773 loading 0.0404
- chr3:37,885,813 loading 0.0400
- chr3:38,305,313 loading 0.0391
- chr25:1,742,133 loading 0.0401
- chr28:2,607,542 loading 0.0393
- chr25:1,819,027 loading 0.0392
- chr2:79,935,004 loading 0.0311
- chr4:63,750,215 loading -0.0309
- chr11:23,826,298 loading 0.0301