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.
OTTR_OTTR_17D03
OTTR_OTTR_17D03 is a Otterhound from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See OTTR_OTTR_17D03 in the atlasOTTR_OTTR_17D03 is a strong genetic outlier within the Otterhound 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).
- Standard leg length. No chondrodysplasia retrogene variant.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to OTTR_OTTR_17D03's. Click any of them to keep exploring.
OTTR_OTTR_17D03 sits in the Otterhound 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.
- Otterhound 77%
- Labrador Retriever 13%
- Golden Retriever 10%
From the CanVAS (Spatola cohort) . Breed-page reference: Otterhound.
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 4.327
z 2.883
The 3 PCs on which OTTR_OTTR_17D03 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr11:59,916,847 loading 0.0380
- chr1:13,688,590 loading -0.0336
- chr9:44,269,754 loading 0.0311
- chr3:4,746,866 loading 0.0453
- chr3:4,905,795 loading 0.0406
- chr13:12,284,714 loading 0.0392
- chr3:3,559,803 loading 0.0324
- chr6:3,540,503 loading -0.0319
- chr15:3,475,065 loading 0.0316