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.
PFZ7C09_PFZ7C09
PFZ7C09_PFZ7C09 is a Golden Retriever from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ7C09_PFZ7C09 in the atlasPFZ7C09_PFZ7C09 is a strong genetic outlier within the Golden Retriever cluster - among the most distinctive examples of their breed.
- Predicted medium 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 PFZ7C09_PFZ7C09's. Click any of them to keep exploring.
PFZ7C09_PFZ7C09 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 72%
- Labrador Retriever 28%
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 10.057
z 7.800
The 3 PCs on which PFZ7C09_PFZ7C09 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
- chr36:5,342,283 loading 0.0327
- chr3:69,391,244 loading 0.0300
- chr25:17,826,837 loading -0.0278
- chr7:2,141,056 loading 0.0366
- chr14:36,686,192 loading -0.0363
- chr14:12,756,008 loading -0.0320