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.
FP51_FP51
FP51_FP51 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 FP51_FP51 in the atlasFP51_FP51 sits well inside the Village Dog French Polynesia Marquesas Hiva Oa cluster - a fairly typical example.
- Predicted medium by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries one copy of the FGF4 chondrodysplasia retrogene.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to FP51_FP51's. Click any of them to keep exploring.
- FP54_FP54 Village Dog French Polynesia Marquesas Hiva Oa 16.55
- FP60_FP60 Village Dog French Polynesia Marquesas Hiva Oa 19.76
- FP66_FP66 Village Dog French Polynesia Marquesas Hiva Oa 20.51
- FP63_FP63 Village Dog French Polynesia Marquesas Hiva Oa 20.95
- FP56_FP56 Village Dog French Polynesia Marquesas Hiva Oa 21.74
FP51_FP51'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 82%
- Golden Retriever 18%
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 1.750
z 1.442
The 3 PCs on which FP51_FP51 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr23:37,382,588 loading 0.0307
- chr7:21,991,064 loading -0.0305
- chr6:50,176,215 loading 0.0304
- chr1:69,957,534 loading 0.0427
- chr1:71,051,715 loading -0.0398
- chr1:70,040,058 loading 0.0385
- chr25:25,192,682 loading 0.0383
- chr24:37,936,747 loading 0.0329
- chr25:20,642,955 loading -0.0315