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.
WOLF-Portugal_WOLF_24890
WOLF-Portugal_WOLF_24890 is a Wolf Portugal from the Parker research cohort. One of 14,478 dogs who built the atlas.
See WOLF-Portugal_WOLF_24890 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 WOLF-Portugal_WOLF_24890's. Click any of them to keep exploring.
WOLF-Portugal_WOLF_24890 sits in the Labrador Retriever cluster, with genome overlap to Golden Retriever - sister breeds nearby in the atlas.
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.
- Labrador Retriever 65%
- Golden Retriever 35%
From the CanVAS (Parker cohort) . Breed-page reference: Wolf Portugal.
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 20.038
z 10.561
The 3 PCs on which WOLF-Portugal_WOLF_24890 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr20:37,137,374 loading 0.0345
- chr37:21,909,127 loading -0.0321
- chr23:49,705,023 loading 0.0289
- chr11:47,398,568 loading 0.0283
- chr13:20,879,550 loading -0.0282
- chr14:35,441,828 loading -0.0282
- chr22:2,271,992 loading 0.0371
- chr22:2,231,766 loading 0.0357
- chr22:1,808,281 loading 0.0355