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.
ARM_ARM_44A
ARM_ARM_44A is labelled Village Dog Armenia in the Spatola cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See ARM_ARM_44A in the atlasARM_ARM_44A is a strong genetic outlier within the Village Dog Armenia cluster - among the most distinctive examples of their breed.
- 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 ARM_ARM_44A's. Click any of them to keep exploring.
ARM_ARM_44A'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 59%
- Golden Retriever 41%
From the CanVAS (Spatola cohort) . Breed-page reference: Village Dog Armenia.
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 4.689
z 4.580
The 3 PCs on which ARM_ARM_44A 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
- chr3:6,720,531 loading 0.0359
- chr6:29,063,786 loading -0.0348
- chr3:6,180,668 loading 0.0337
- chr15:42,263,341 loading 0.0348
- chr18:11,175,691 loading -0.0320
- chr1:63,849,832 loading 0.0318