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.
CoS_GT93_CoS_GT93
CoS_GT93_CoS_GT93 is a English Cocker Spaniel from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See CoS_GT93_CoS_GT93 in the atlasCoS_GT93_CoS_GT93 sits near the center of the English Cocker Spaniel cluster - genetically very typical for the breed.
- Predicted giant 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.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to CoS_GT93_CoS_GT93's. Click any of them to keep exploring.
CoS_GT93_CoS_GT93 sits in the English Cocker Spaniel 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.
From the CanVAS (Hayward2016 cohort) . Breed-page reference: English Cocker Spaniel.
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 -0.679
z 3.344
The 3 PCs on which CoS_GT93_CoS_GT93 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr22:725,951 loading 0.0351
- chr22:1,996,400 loading -0.0345
- chr22:902,803 loading 0.0335
- chr20:37,137,374 loading 0.0345
- chr37:21,909,127 loading -0.0321
- chr23:49,705,023 loading 0.0289
- chr22:1,969,643 loading 0.0329
- chr22:1,892,165 loading 0.0327
- chr17:12,181,234 loading 0.0322