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.
CHINA_CHINA_7CH
CHINA_CHINA_7CH is labelled Village Dog China in the Spatola cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See CHINA_CHINA_7CH in the atlasCHINA_CHINA_7CH sits near the center of the Village Dog China 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.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to CHINA_CHINA_7CH's. Click any of them to keep exploring.
CHINA_CHINA_7CH's genome decomposes mostly into Labrador Retriever, with additional weight on Golden 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.
- Labrador Retriever 53%
- Golden Retriever 48%
From the CanVAS (Spatola cohort) . Breed-page reference: Village Dog China.
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 6.540
z 5.358
The 3 PCs on which CHINA_CHINA_7CH scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr22:1,996,400 loading 0.0303
- chr22:2,231,766 loading 0.0280
- chr22:3,165,486 loading 0.0275
- chr22:2,473,315 loading 0.0334
- chr22:1,969,643 loading -0.0326
- chr4:32,946,669 loading -0.0320
- chr13:43,330,325 loading 0.0255
- chr17:50,562,684 loading 0.0245
- chr19:34,146,978 loading 0.0244