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.
FP57_FP57
FP57_FP57 is labelled Village Dog French Polynesia Marquesas Hiva Oa in the Shannon cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See FP57_FP57 in the atlasFP57_FP57 is a notable Village Dog French Polynesia Marquesas Hiva Oa - distinctive within the breed.
- Predicted large 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 FP57_FP57's. Click any of them to keep exploring.
FP57_FP57's genome decomposes mostly into Rottweiler, with additional weight on German Shepherd, Doberman Pinscher, and 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 38%
- German Shepherd 32%
- Doberman Pinscher 22%
- Golden Retriever 8%
From the CanVAS (Shannon cohort) . Breed-page reference: Village Dog French Polynesia Marquesas Hiva Oa.
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 1.579
z 1.426
The 3 PCs on which FP57_FP57 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr13:4,083,191 loading 0.0359
- chr24:4,114,956 loading 0.0356
- chr13:12,284,714 loading 0.0349
- chr8:13,394,852 loading 0.0320
- chr30:2,998,314 loading 0.0313
- chr12:26,709,882 loading 0.0290
- chr16:48,608,303 loading 0.0348
- chr13:24,655,299 loading -0.0330
- chr23:1,734,032 loading 0.0330