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.
TAJ_TAJ_1TDZ
TAJ_TAJ_1TDZ is labelled Village Dog Tajikistan in the Spatola cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See TAJ_TAJ_1TDZ in the atlasTAJ_TAJ_1TDZ is a notable Village Dog Tajikistan - distinctive within the breed.
- Predicted small 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 TAJ_TAJ_1TDZ's. Click any of them to keep exploring.
TAJ_TAJ_1TDZ'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 50%
- Labrador Retriever 50%
From the CanVAS (Spatola cohort) . Breed-page reference: Village Dog Tajikistan.
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 4.898
z 5.025
The 3 PCs on which TAJ_TAJ_1TDZ scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr4:32,151,890 loading 0.0295
- chr1:72,831,562 loading 0.0294
- chr30:30,843,842 loading 0.0291
- chr15:42,263,341 loading 0.0348
- chr18:11,175,691 loading -0.0320
- chr1:63,849,832 loading 0.0318
- chr3:6,720,531 loading 0.0359
- chr6:29,063,786 loading -0.0348
- chr3:6,180,668 loading 0.0337