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.
PTWD_PTWD_05838
PTWD_PTWD_05838 is a Portuguese Water Dog from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See PTWD_PTWD_05838 in the atlasPTWD_PTWD_05838 sits at the edge of the Portuguese Water Dog cluster but still well within it.
- Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries both copies of the FGF4 chondrodysplasia retrogene - the short-leg variant in Dachshund, Pembroke Corgi, Basset Hound.
The five dogs in the atlas whose genomes sit closest to PTWD_PTWD_05838's. Click any of them to keep exploring.
PTWD_PTWD_05838 sits in the Portuguese Water Dog 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.
- Portuguese Water Dog 60%
- Labrador Retriever 21%
- Golden Retriever 18%
From the CanVAS (Spatola cohort) . Breed-page reference: Portuguese Water Dog.
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 1.716
z 14.383
The 3 PCs on which PTWD_PTWD_05838 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr25:40,121,397 loading 0.0326
- chr28:17,013,099 loading 0.0310
- chr26:15,170,564 loading 0.0302
- chr28:326,614 loading 0.0378
- chr2:50,919,591 loading 0.0372
- chr28:1,791,942 loading -0.0335
- chr18:10,316,807 loading 0.0412
- chr18:49,993,975 loading -0.0328
- chr4:32,494,543 loading 0.0323