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.
PFZ32H07_PFZ32H07
PFZ32H07_PFZ32H07 is a Golden Retriever from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ32H07_PFZ32H07 in the atlasPFZ32H07_PFZ32H07 sits near the center of the Golden Retriever 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.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to PFZ32H07_PFZ32H07's. Click any of them to keep exploring.
PFZ32H07_PFZ32H07 sits in the Golden Retriever cluster, with genome overlap to 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.
- Golden Retriever 77%
- Labrador Retriever 23%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Golden Retriever.
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 11.053
z 8.612
The 3 PCs on which PFZ32H07_PFZ32H07 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr28:11,007,373 loading 0.0365
- chr28:5,497,677 loading 0.0343
- chr7:43,226,466 loading 0.0325
- chr7:5,846,709 loading 0.0374
- chr7:2,256,768 loading -0.0351
- chr25:8,169,704 loading 0.0337
- chr8:38,372,734 loading 0.0317
- chr23:20,107,050 loading 0.0304
- chr23:19,874,668 loading -0.0292