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.
GSl_GT227_GSl_GT227
GSl_GT227_GSl_GT227 is a Greenland Sledge Dog from the Shannon research cohort. One of 14,478 dogs who built the atlas.
See GSl_GT227_GSl_GT227 in the atlasGSl_GT227_GSl_GT227 sits at the edge of the Greenland Sledge Dog cluster but still well within it.
- 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 GSl_GT227_GSl_GT227's. Click any of them to keep exploring.
GSl_GT227_GSl_GT227 sits in the Golden Retriever cluster, with genome overlap to Labrador 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.
- Golden Retriever 60%
- Labrador Retriever 40%
From the CanVAS (Shannon cohort) . Breed-page reference: Greenland Sledge Dog.
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 8.507
z -9.256
The 3 PCs on which GSl_GT227_GSl_GT227 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr22:2,473,315 loading 0.0334
- chr22:1,969,643 loading -0.0326
- chr4:32,946,669 loading -0.0320
- chr21:49,887,138 loading 0.0323
- chr14:48,394,398 loading -0.0308
- chr32:37,683,789 loading -0.0274
- chr2:6,428,604 loading 0.0354
- chr22:6,962,924 loading 0.0351
- chr12:19,589,576 loading 0.0339