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.
AT_33732_AT_33732
AT_33732_AT_33732 is a Airedale Terrier from the JenkinsWGS research cohort. One of 14,478 dogs who built the atlas.
See AT_33732_AT_33732 in the atlasAT_33732_AT_33732 sits near the center of the Airedale Terrier cluster - genetically very typical for the breed.
- Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to AT_33732_AT_33732's. Click any of them to keep exploring.
AT_33732_AT_33732 sits in the Giant Schnauzer 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.
- Giant Schnauzer 60%
- Golden Retriever 40%
From the CanVAS (JenkinsWGS cohort) . Breed-page reference: Airedale 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 -0.940
z 2.675
The 3 PCs on which AT_33732_AT_33732 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr22:3,408,030 loading 0.0341
- chr22:3,295,327 loading 0.0312
- chr6:30,982,246 loading -0.0293
- chr22:2,157,682 loading 0.0351
- chr22:2,473,315 loading 0.0335
- chr22:2,367,358 loading 0.0330
- chr10:6,497,921 loading 0.0387
- chr22:15,428,150 loading -0.0365
- chr3:1,671,869 loading 0.0347