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.
FP08_FP08
FP08_FP08 is labelled Village Dog French Polynesia Society Islands Bora Bora in the Shannon cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See FP08_FP08 in the atlas- Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to FP08_FP08's. Click any of them to keep exploring.
- FP12_FP12 Village Dog French Polynesia Society Islands Raiatea 19.90
- FP42_FP42 Village Dog French Polynesia Society Islands Huahine 20.23
- FP04_FP04 Village Dog French Polynesia Society Islands Moorea 20.31
- PFZ12B05_PFZ12B05 Village Dog Lebanon Beruit 20.83
- FP09_FP09 Village Dog French Polynesia Society Islands Bora Bora 20.86
FP08_FP08'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 78%
- Golden Retriever 23%
From the CanVAS (Shannon cohort) . Breed-page reference: Village Dog French Polynesia Society Islands Bora Bora.
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 1.598
z 1.712
The 3 PCs on which FP08_FP08 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr19:1,162,032 loading 0.0555
- chr19:1,420,658 loading 0.0489
- chr19:1,685,081 loading -0.0433
- chr22:26,809,841 loading 0.0329
- chr13:7,517,248 loading -0.0323
- chr26:11,829,785 loading 0.0322
- chr28:326,614 loading 0.0378
- chr2:50,919,591 loading 0.0372
- chr28:1,791,942 loading -0.0335