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.
PFZ3C03_PFZ3C03
PFZ3C03_PFZ3C03 is labelled Village Dog Brazil in the Shannon cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See PFZ3C03_PFZ3C03 in the atlasPFZ3C03_PFZ3C03 sits at the edge of the Village Dog Brazil 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.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to PFZ3C03_PFZ3C03's. Click any of them to keep exploring.
PFZ3C03_PFZ3C03's genome decomposes mostly into Golden Retriever, with additional weight on Labrador Retriever.
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 55%
- Labrador Retriever 45%
From the CanVAS (Shannon cohort) . Breed-page reference: Village Dog Brazil.
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 1.273
z 1.829
The 3 PCs on which PFZ3C03_PFZ3C03 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr1:99,975,270 loading 0.0421
- chr1:99,774,502 loading 0.0419
- chr1:99,902,496 loading 0.0354
- chr5:7,618,997 loading 0.0371
- chr18:10,714,022 loading 0.0318
- chr25:27,400,046 loading 0.0312
- chr13:1,243,516 loading 0.0372
- chr13:4,612,002 loading -0.0358
- chr13:2,021,999 loading -0.0342