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.
PFZ3G09_PFZ3G09
PFZ3G09_PFZ3G09 is labelled Village Dog Uganda in the Hayward2016 cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See PFZ3G09_PFZ3G09 in the atlasPFZ3G09_PFZ3G09 sits at the edge of the Village Dog Uganda cluster but still well within it.
- Predicted giant 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 PFZ3G09_PFZ3G09's. Click any of them to keep exploring.
PFZ3G09_PFZ3G09's genome decomposes mostly into German Shepherd, 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.
- German Shepherd 75%
- Golden Retriever 25%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Village Dog Uganda.
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 1.813
z 0.085
The 3 PCs on which PFZ3G09_PFZ3G09 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr6:1,658,873 loading 0.0279
- chr6:1,741,489 loading 0.0277
- chr27:35,211,437 loading -0.0271
- chr12:64,188,765 loading 0.0337
- chr23:18,821,315 loading -0.0287
- chr4:53,307,196 loading -0.0287
- chr6:60,987,558 loading 0.0302
- chr18:25,790,852 loading 0.0293
- chr14:14,074,192 loading -0.0293