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.
cHD8_520_cHD8_520
cHD8_520_cHD8_520 is a research dog from the Momozawa cohort. They weren't given a breed label - they're one of the dogs that helps the atlas understand what falls between breeds.
See cHD8_520_cHD8_520 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 cHD8_520_cHD8_520's. Click any of them to keep exploring.
cHD8_520_cHD8_520's genome decomposes mostly into Dalmatian, with additional weight on Golden Retriever, and Labrador 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.
- Dalmatian 88%
- Golden Retriever 6%
- Labrador Retriever 6%
From the CanVAS (Momozawa cohort) .
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 -5.146
z 9.655
The 3 PCs on which cHD8_520_cHD8_520 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr38:12,072,793 loading 0.0279
- chr3:65,092,835 loading 0.0273
- chr10:7,098,202 loading 0.0260
- chr19:1,162,032 loading 0.0555
- chr19:1,420,658 loading 0.0489
- chr19:1,685,081 loading -0.0433
- chr3:66,503,138 loading 0.0243
- chr29:24,433,584 loading 0.0237
- chr21:33,291,005 loading 0.0234