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.
PFZ36B05_PFZ36B05
PFZ36B05_PFZ36B05 is a Otterhound from the Shannon research cohort. One of 14,478 dogs who built the atlas.
See PFZ36B05_PFZ36B05 in the atlasPFZ36B05_PFZ36B05 sits well inside the Otterhound cluster - a fairly typical example.
- 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 PFZ36B05_PFZ36B05's. Click any of them to keep exploring.
PFZ36B05_PFZ36B05 sits in the Otterhound 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.
- Otterhound 76%
- Golden Retriever 14%
- Labrador Retriever 10%
From the CanVAS (Shannon 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 12.635
z 4.217
The 3 PCs on which PFZ36B05_PFZ36B05 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr22:398,599 loading 0.0377
- chr29:27,583,617 loading -0.0367
- chr22:25,742,519 loading -0.0349
- chr22:2,367,358 loading 0.0405
- chr22:5,622,508 loading -0.0403
- chr22:4,235,154 loading -0.0403
- chr30:3,320,848 loading 0.0326
- chr30:3,423,077 loading 0.0326
- chr30:3,200,238 loading 0.0321