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.
PFZ2E11_PFZ2E11
PFZ2E11_PFZ2E11 is labelled Village Dog Peru Loreto in the Hayward2016 cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See PFZ2E11_PFZ2E11 in the atlasPFZ2E11_PFZ2E11 is a strong genetic outlier within the Village Dog Peru Loreto cluster - among the most distinctive examples of their breed.
- Predicted small by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries one copy of the FGF4 chondrodysplasia retrogene.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to PFZ2E11_PFZ2E11's. Click any of them to keep exploring.
PFZ2E11_PFZ2E11 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 (Hayward2016 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 1.799
z 2.309
The 3 PCs on which PFZ2E11_PFZ2E11 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr30:33,900,950 loading 0.0365
- chr1:31,256,526 loading 0.0299
- chr28:38,109,009 loading 0.0284
- chr20:14,856,460 loading 0.0316
- chr10:6,497,921 loading 0.0302
- chr10:6,396,863 loading 0.0301
- chr2:79,935,004 loading 0.0311
- chr4:63,750,215 loading -0.0309
- chr11:23,826,298 loading 0.0301