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.
TPOO_TPOO_10439
TPOO_TPOO_10439 is a Toy Poodle from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See TPOO_TPOO_10439 in the atlasTPOO_TPOO_10439 is a strong genetic outlier within the Toy Poodle cluster - among the most distinctive examples of their breed.
- Predicted small 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.
The five dogs in the atlas whose genomes sit closest to TPOO_TPOO_10439's. Click any of them to keep exploring.
TPOO_TPOO_10439 sits in the Toy Poodle 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.
- Toy Poodle 80%
- Labrador Retriever 13%
- Golden Retriever 7%
From the CanVAS (Spatola cohort) . Breed-page reference: Toy Poodle.
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 9.064
z -2.264
The 3 PCs on which TPOO_TPOO_10439 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr19:1,162,032 loading 0.0555
- chr19:1,420,658 loading 0.0489
- chr19:1,685,081 loading -0.0433
- chr10:7,000,030 loading 0.0335
- chr10:4,826,260 loading -0.0333
- chr23:15,561,811 loading -0.0321
- chr1:69,449,779 loading 0.0431
- chr1:69,785,342 loading 0.0329
- chr10:4,740,874 loading 0.0326