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.
PFZ42G08_PFZ42G08
PFZ42G08_PFZ42G08 is a Toy Poodle from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ42G08_PFZ42G08 in the atlasPFZ42G08_PFZ42G08 sits near the center of the Toy Poodle cluster - genetically very typical for the 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.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ42G08_PFZ42G08's. Click any of them to keep exploring.
PFZ42G08_PFZ42G08 sits in the Toy Poodle 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.
- Toy Poodle 92%
- Golden Retriever 8%
From the CanVAS (Hayward2016 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 0.551
z 0.303
The 3 PCs on which PFZ42G08_PFZ42G08 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr17:4,173,842 loading 0.0406
- chr17:4,233,511 loading 0.0400
- chr17:4,353,120 loading 0.0343
- chr15:23,130,452 loading 0.0401
- chr28:1,724,663 loading 0.0367
- chr15:42,263,341 loading 0.0350
- chr1:69,449,779 loading 0.0431
- chr1:69,785,342 loading 0.0329
- chr10:4,740,874 loading 0.0326