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.
BRTR_BRTR_15422
BRTR_BRTR_15422 is a Bull Terrier from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See BRTR_BRTR_15422 in the atlasBRTR_BRTR_15422 is a strong genetic outlier within the 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.
The five dogs in the atlas whose genomes sit closest to BRTR_BRTR_15422's. Click any of them to keep exploring.
BRTR_BRTR_15422 sits in the Rottweiler cluster, with genome overlap to Giant Schnauzer, 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.
- Rottweiler 42%
- Giant Schnauzer 35%
- Labrador Retriever 13%
- Golden Retriever 10%
From the CanVAS (Spatola cohort) . Breed-page reference: 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 -0.755
z 3.514
The 3 PCs on which BRTR_BRTR_15422 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr28:5,497,677 loading 0.0416
- chr28:5,428,661 loading 0.0337
- chr20:7,134,018 loading 0.0323
- chr3:37,847,773 loading 0.0404
- chr3:37,885,813 loading 0.0400
- chr3:38,305,313 loading 0.0391
- chr28:12,405,348 loading 0.0374
- chr22:28,989,668 loading -0.0358
- chr20:42,542,218 loading -0.0345