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.
CRES_CRES_Z5F09
CRES_CRES_Z5F09 is a Chinese Crested from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See CRES_CRES_Z5F09 in the atlasCRES_CRES_Z5F09 sits at the edge of the Chinese Crested 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.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to CRES_CRES_Z5F09's. Click any of them to keep exploring.
CRES_CRES_Z5F09 sits in the Chinese Crested 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.
- Chinese Crested 68%
- Labrador Retriever 18%
- Golden Retriever 14%
From the CanVAS (Spatola cohort) . Breed-page reference: Chinese Crested.
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 9.741
z -1.190
The 3 PCs on which CRES_CRES_Z5F09 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr23:12,238,858 loading 0.0365
- chr30:3,110,542 loading 0.0349
- chr26:5,761,213 loading -0.0320
- chr26:2,885,742 loading 0.0312
- chr11:18,600,601 loading 0.0306
- chr1:62,634,942 loading 0.0302
- chr19:7,211,690 loading 0.0376
- chr19:7,271,993 loading 0.0341
- chr27:40,183,759 loading 0.0317