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.
PFZ34C06_PFZ34C06
PFZ34C06_PFZ34C06 is a Bouvier Des Flandres from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ34C06_PFZ34C06 in the atlasPFZ34C06_PFZ34C06 sits at the edge of the Bouvier Des Flandres cluster but still well within it.
- Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries one copy of the FGF4 chondrodysplasia retrogene.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ34C06_PFZ34C06's. Click any of them to keep exploring.
PFZ34C06_PFZ34C06 sits in the Belgian Shepherd cluster, with genome overlap to 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.
- Belgian Shepherd 75%
- Golden Retriever 25%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Bouvier Des Flandres.
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 0.811
z 12.439
The 3 PCs on which PFZ34C06_PFZ34C06 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr14:35,252,647 loading 0.0345
- chr7:40,535,333 loading 0.0300
- chr17:50,105,121 loading -0.0291
- chr13:35,426,269 loading 0.0319
- chr12:6,934,625 loading -0.0307
- chr31:14,181,674 loading 0.0294
- chr3:72,396,064 loading 0.0333
- chr10:25,699,634 loading 0.0321
- chr13:22,942,852 loading 0.0315