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.
PFZ1G08_PFZ1G08
PFZ1G08_PFZ1G08 is labelled Village Dog Peru Puno in the Hayward2016 cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See PFZ1G08_PFZ1G08 in the atlasPFZ1G08_PFZ1G08 sits near the center of the Village Dog Peru Puno cluster - genetically very typical for the breed.
- Predicted small 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.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to PFZ1G08_PFZ1G08's. Click any of them to keep exploring.
PFZ1G08_PFZ1G08's genome decomposes mostly into Dachshund, 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.
- Dachshund 63%
- Golden Retriever 38%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Village Dog Peru Puno.
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 1.443
z 2.014
The 3 PCs on which PFZ1G08_PFZ1G08 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr17:4,173,842 loading 0.0377
- chr17:4,128,965 loading 0.0376
- chr17:4,233,511 loading 0.0366
- chr7:40,535,333 loading 0.0363
- chr7:41,489,243 loading 0.0356
- chr15:32,204,502 loading 0.0340
- chr5:79,585,745 loading 0.0313
- chr14:5,105,246 loading 0.0300
- chr24:4,166,647 loading -0.0289