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.
PFZ30B03_PFZ30B03
PFZ30B03_PFZ30B03 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 PFZ30B03_PFZ30B03 in the atlasPFZ30B03_PFZ30B03 sits well inside the Village Dog Peru Arequipa cluster - a fairly typical example.
- Predicted medium 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 PFZ30B03_PFZ30B03's. Click any of them to keep exploring.
PFZ30B03_PFZ30B03's genome decomposes mostly into German Shepherd, with additional weight on Doberman Pinscher, 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 44%
- Doberman Pinscher 28%
- Golden Retriever 15%
- Labrador Retriever 14%
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 1.685
z 1.453
The 3 PCs on which PFZ30B03_PFZ30B03 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr13:4,083,191 loading 0.0359
- chr24:4,114,956 loading 0.0356
- chr13:12,284,714 loading 0.0349
- chr7:40,629,884 loading 0.0367
- chr7:40,535,333 loading 0.0324
- chr18:50,696,547 loading 0.0323
- chr27:12,240,889 loading 0.0349
- chr22:40,186,686 loading -0.0299
- chr3:9,727,004 loading 0.0298