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.
PFZ25C08_PFZ25C08
PFZ25C08_PFZ25C08 is labelled Village Dog Afghanistan in the Hayward2016 cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See PFZ25C08_PFZ25C08 in the atlasPFZ25C08_PFZ25C08 sits at the edge of the Village Dog Afghanistan cluster but still well within it.
- Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries one copy of the FGF4 chondrodysplasia retrogene.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ25C08_PFZ25C08's. Click any of them to keep exploring.
PFZ25C08_PFZ25C08's genome decomposes mostly into Golden Retriever, with additional weight on 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.
- Golden Retriever 56%
- Labrador Retriever 44%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Village Dog Afghanistan.
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 3.566
z 0.919
The 3 PCs on which PFZ25C08_PFZ25C08 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr13:17,017,437 loading 0.0335
- chr22:61,087,087 loading -0.0324
- chr13:7,369,721 loading -0.0313
- chr6:60,987,558 loading 0.0302
- chr18:25,790,852 loading 0.0293
- chr14:14,074,192 loading -0.0293
- chr11:47,398,568 loading 0.0283
- chr13:20,879,550 loading -0.0282
- chr14:35,441,828 loading -0.0282