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.
PFZ13C08_PFZ13C08
PFZ13C08_PFZ13C08 is labelled Village Dog Papua New Guinea East Highlands in the Hayward2016 cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See PFZ13C08_PFZ13C08 in the atlasPFZ13C08_PFZ13C08 sits at the edge of the Village Dog Papua New Guinea East Highlands cluster but still well within it.
- Predicted medium by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ13C08_PFZ13C08's. Click any of them to keep exploring.
PFZ13C08_PFZ13C08 pulls strongly toward the Golden Retriever cluster.
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 100%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Village Dog Papua New Guinea East Highlands.
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 2.545
z 2.436
The 3 PCs on which PFZ13C08_PFZ13C08 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr19:16,549,845 loading 0.0354
- chr28:2,607,542 loading -0.0326
- chr28:1,724,663 loading 0.0325
- chr14:35,252,647 loading 0.0345
- chr7:40,535,333 loading 0.0300
- chr17:50,105,121 loading -0.0291
- chr19:11,652,672 loading 0.0365
- chr13:13,884,830 loading -0.0338
- chr3:70,346,120 loading -0.0302