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.
AESK_AESK_14D08
AESK_AESK_14D08 is a American Eskimo Dog from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See AESK_AESK_14D08 in the atlasAESK_AESK_14D08 sits near the center of the American Eskimo Dog cluster - genetically very typical for the breed.
- Predicted medium 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.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to AESK_AESK_14D08's. Click any of them to keep exploring.
AESK_AESK_14D08 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 59%
- Golden Retriever 41%
From the CanVAS (Spatola cohort) . Breed-page reference: American Eskimo 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 5.450
z 4.693
The 3 PCs on which AESK_AESK_14D08 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr23:23,759,985 loading 0.0312
- chr2:32,595,915 loading 0.0312
- chr3:6,457,748 loading -0.0306
- chr26:4,196,092 loading 0.0325
- chr1:1,402,180 loading -0.0321
- chr17:2,046,668 loading -0.0309
- chr20:38,047,521 loading 0.0380
- chr20:38,715,188 loading -0.0374
- chr20:38,805,558 loading -0.0370