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.
PFZ17C03_PFZ17C03
PFZ17C03_PFZ17C03 is a Otterhound from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ17C03_PFZ17C03 in the atlasPFZ17C03_PFZ17C03 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 PFZ17C03_PFZ17C03's. Click any of them to keep exploring.
PFZ17C03_PFZ17C03 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 9%
From the CanVAS (Hayward2016 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 12.578
z 4.162
The 3 PCs on which PFZ17C03_PFZ17C03 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr22:2,367,358 loading 0.0405
- chr22:5,622,508 loading -0.0403
- chr22:4,235,154 loading -0.0403
- chr22:398,599 loading 0.0377
- chr29:27,583,617 loading -0.0367
- chr22:25,742,519 loading -0.0349
- chr22:27,265,197 loading 0.0431
- chr5:72,529,391 loading 0.0328
- chr10:5,349,288 loading 0.0317