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.
PFZ42E12_PFZ42E12
PFZ42E12_PFZ42E12 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 PFZ42E12_PFZ42E12 in the atlasPFZ42E12_PFZ42E12 is a notable Village Dog Costa Rica - distinctive within the breed.
- Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ42E12_PFZ42E12's. Click any of them to keep exploring.
PFZ42E12_PFZ42E12's genome decomposes mostly into Miniature Schnauzer, 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.
- Miniature Schnauzer 72%
- Golden Retriever 28%
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 1.429
z 1.999
The 3 PCs on which PFZ42E12_PFZ42E12 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr22:26,809,841 loading 0.0329
- chr13:7,517,248 loading -0.0323
- chr26:11,829,785 loading 0.0322
- chr1:74,476,966 loading 0.0401
- chr1:74,547,137 loading -0.0372
- chr1:74,609,719 loading 0.0354
- chr26:2,885,742 loading 0.0312
- chr11:18,600,601 loading 0.0306
- chr1:62,634,942 loading 0.0302