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.
FP10_FP10
FP10_FP10 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 FP10_FP10 in the atlas- Predicted large 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.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to FP10_FP10's. Click any of them to keep exploring.
- FP08_FP08 Village Dog French Polynesia Society Islands Bora Bora 22.64
- FP12_FP12 Village Dog French Polynesia Society Islands Raiatea 23.64
- PFZ8C12_PFZ8C12 Staffordshire Bull Terrier 23.73
- FP73_FP73 Village Dog French Polynesia Marquesas Hiva Oa 23.77
- PFZ43H10_PFZ43H10 Staffordshire Bull Terrier 23.92
FP10_FP10's genome decomposes mostly into Rottweiler, 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.
- Rottweiler 77%
- 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 1.658
z 1.713
The 3 PCs on which FP10_FP10 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr16:28,065,128 loading 0.0285
- chr3:86,866,407 loading 0.0280
- chr28:24,079,223 loading 0.0272
- chr23:1,615,600 loading 0.0324
- chr16:44,022,534 loading 0.0322
- chr20:3,540,281 loading -0.0307
- chr1:74,476,966 loading 0.0401
- chr1:74,547,137 loading -0.0372
- chr1:74,609,719 loading 0.0354