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.
PFZ8C12_PFZ8C12
PFZ8C12_PFZ8C12 is a Staffordshire Bull Terrier from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ8C12_PFZ8C12 in the atlasPFZ8C12_PFZ8C12 sits near the center of the Staffordshire Bull Terrier cluster - genetically very typical for the breed.
- Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries one copy of the FGF4 chondrodysplasia retrogene.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ8C12_PFZ8C12's. Click any of them to keep exploring.
PFZ8C12_PFZ8C12 sits in the Staffordshire Bull Terrier cluster, with genome overlap to Golden Retriever, and 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.
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Staffordshire Bull Terrier.
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 1.707
z 1.704
The 3 PCs on which PFZ8C12_PFZ8C12 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr23:3,426,742 loading 0.0355
- chr23:3,756,166 loading 0.0335
- chr4:38,305,840 loading 0.0333
- chr38:19,205,467 loading 0.0283
- chr22:8,222,365 loading 0.0280
- chr29:3,059,812 loading 0.0271
- chr16:28,065,128 loading 0.0285
- chr3:86,866,407 loading 0.0280
- chr28:24,079,223 loading 0.0272