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.
PFZ2G06_PFZ2G06
PFZ2G06_PFZ2G06 is labelled Village Dog Brazil in the Shannon cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See PFZ2G06_PFZ2G06 in the atlasPFZ2G06_PFZ2G06 sits well inside the Village Dog Brazil cluster - a fairly typical example.
- Predicted large 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 PFZ2G06_PFZ2G06's. Click any of them to keep exploring.
PFZ2G06_PFZ2G06's genome decomposes mostly into German Shepherd, with additional weight on Belgian Shepherd, and 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.
- German Shepherd 51%
- Belgian Shepherd 31%
- Golden Retriever 18%
From the CanVAS (Shannon cohort) . Breed-page reference: Village Dog Brazil.
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 1.497
z 1.691
The 3 PCs on which PFZ2G06_PFZ2G06 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr22:725,951 loading 0.0351
- chr22:1,996,400 loading -0.0345
- chr22:902,803 loading 0.0335
- chr18:10,316,807 loading 0.0412
- chr18:49,993,975 loading -0.0328
- chr4:32,494,543 loading 0.0323
- chr18:2,954,407 loading 0.0354
- chr4:9,808,812 loading -0.0348
- chr24:4,114,956 loading 0.0343