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.
PFZ5F05_PFZ5F05
PFZ5F05_PFZ5F05 is a Labrador Retriever from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ5F05_PFZ5F05 in the atlasPFZ5F05_PFZ5F05 sits near the center of the Labrador Retriever cluster - genetically very typical for the 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.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ5F05_PFZ5F05's. Click any of them to keep exploring.
PFZ5F05_PFZ5F05 sits in the Rottweiler cluster, with genome overlap to Labrador Retriever, and Golden 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.
- Rottweiler 53%
- Labrador Retriever 34%
- Golden Retriever 14%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Labrador 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 0.714
z 5.698
The 3 PCs on which PFZ5F05_PFZ5F05 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr12:3,203,806 loading 0.0259
- chr13:8,570,429 loading -0.0258
- chr3:39,845,469 loading 0.0255
- chr7:40,629,884 loading 0.0367
- chr7:40,535,333 loading 0.0324
- chr18:50,696,547 loading 0.0323
- chr20:38,047,521 loading 0.0380
- chr20:38,715,188 loading -0.0374
- chr20:38,805,558 loading -0.0370