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.
GREE_GSl_0GT233
GREE_GSl_0GT233 is a Greyhound from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See GREE_GSl_0GT233 in the atlasGREE_GSl_0GT233 is a strong genetic outlier within the Greyhound cluster - among the most distinctive examples of their 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.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to GREE_GSl_0GT233's. Click any of them to keep exploring.
GREE_GSl_0GT233 sits in the Greyhound cluster, with genome overlap to Labrador Retriever, and 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.
- Greyhound 55%
- Labrador Retriever 23%
- Golden Retriever 22%
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 -1.340
z 10.423
The 3 PCs on which GREE_GSl_0GT233 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr22:1,996,400 loading 0.0303
- chr22:2,231,766 loading 0.0280
- chr22:3,165,486 loading 0.0275
- chr1:99,975,270 loading 0.0421
- chr1:99,774,502 loading 0.0419
- chr1:99,902,496 loading 0.0354
- chr19:2,539,757 loading 0.0344
- chr3:6,392,552 loading -0.0326
- chr6:16,157,160 loading 0.0301