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 CanVAS Founder atlas. The same dog always reproduces the same portrait. A different dog with different alleles gets a different portrait.
PFZ40B06_PFZ40B06
PFZ40B06_PFZ40B06 is a Golden Retriever from the Hayward2016 research cohort. One of 18,477 dogs in the atlas.
See PFZ40B06_PFZ40B06 in the atlasPFZ40B06_PFZ40B06 is a strong genetic outlier within the Golden Retriever cluster - among the most distinctive examples of their breed.
- Predicted giant 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 PFZ40B06_PFZ40B06's. Click any of them to keep exploring.
PFZ40B06_PFZ40B06 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.
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 10.700
z 9.743
The 3 PCs on which PFZ40B06_PFZ40B06 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr22:1,969,643 loading 0.0329
- chr22:1,892,165 loading 0.0327
- chr17:12,181,234 loading 0.0322
- chr8:38,372,734 loading 0.0317
- chr23:20,107,050 loading 0.0304
- chr23:19,874,668 loading -0.0292
- chr7:2,141,056 loading 0.0366
- chr14:36,686,192 loading -0.0363
- chr14:12,756,008 loading -0.0320