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.
STAF_STAF_27382
STAF_STAF_27382 is a Staffordshire Bull Terrier from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See STAF_STAF_27382 in the atlasSTAF_STAF_27382 is a strong genetic outlier within the Staffordshire Bull Terrier cluster - among the most distinctive examples of their breed.
- Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries one copy of the FGF4 chondrodysplasia retrogene.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to STAF_STAF_27382's. Click any of them to keep exploring.
STAF_STAF_27382 sits in the Staffordshire Bull Terrier 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.
From the CanVAS (Spatola 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 0.649
z 2.688
The 3 PCs on which STAF_STAF_27382 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
- chr4:32,151,890 loading 0.0295
- chr1:72,831,562 loading 0.0294
- chr30:30,843,842 loading 0.0291
- chr25:3,927,722 loading 0.0316
- chr25:4,215,319 loading -0.0302
- chr25:4,111,134 loading -0.0294