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.
PFZ1D03_PFZ1D03
PFZ1D03_PFZ1D03 is labelled Village Dog Peru Arequipa in the Hayward2016 cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See PFZ1D03_PFZ1D03 in the atlasPFZ1D03_PFZ1D03 sits near the center of the Village Dog Peru Arequipa cluster - genetically very typical for the breed.
- Predicted giant 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 PFZ1D03_PFZ1D03's. Click any of them to keep exploring.
PFZ1D03_PFZ1D03's genome decomposes mostly into German Shepherd, with additional weight on Golden Retriever, and 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.
- German Shepherd 65%
- Golden Retriever 19%
- Labrador Retriever 16%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Village Dog Peru Arequipa.
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 1.757
z 1.485
The 3 PCs on which PFZ1D03_PFZ1D03 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr3:7,959,527 loading 0.0294
- chr16:43,038,278 loading -0.0293
- chr19:17,213,086 loading 0.0288
- chr4:78,506,139 loading 0.0305
- chr26:20,960,217 loading -0.0303
- chr22:28,657,814 loading -0.0289
- chr19:11,721,356 loading 0.0330
- chr20:8,205,745 loading 0.0329
- chr25:2,138,835 loading -0.0328