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.
PFZ23A03_PFZ23A03
PFZ23A03_PFZ23A03 is a Golden Retriever from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ23A03_PFZ23A03 in the atlasPFZ23A03_PFZ23A03 is a strong genetic outlier within the Golden Retriever 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.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ23A03_PFZ23A03's. Click any of them to keep exploring.
PFZ23A03_PFZ23A03 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 79%
- Labrador Retriever 21%
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 8.944
z 8.819
The 3 PCs on which PFZ23A03_PFZ23A03 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr22:1,996,400 loading 0.0426
- chr22:1,969,643 loading -0.0423
- chr22:2,473,315 loading 0.0395
- chr28:11,007,373 loading 0.0365
- chr28:5,497,677 loading 0.0343
- chr7:43,226,466 loading 0.0325
- chr28:12,405,348 loading 0.0374
- chr22:28,989,668 loading -0.0358
- chr20:42,542,218 loading -0.0345