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.
THAI_THAI_22TAJ
THAI_THAI_22TAJ is a Thai Ridgeback from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See THAI_THAI_22TAJ in the atlasTHAI_THAI_22TAJ sits at the edge of the Thai Ridgeback cluster but still well within it.
- Predicted large 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 THAI_THAI_22TAJ's. Click any of them to keep exploring.
THAI_THAI_22TAJ sits in the Thai Ridgeback cluster, with genome overlap to Golden Retriever, and Labrador 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.
- Thai Ridgeback 88%
- Golden Retriever 7%
- Labrador Retriever 5%
From the CanVAS (Spatola cohort) . Breed-page reference: Thai Ridgeback.
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 6.725
z 5.315
The 3 PCs on which THAI_THAI_22TAJ 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
- chr4:74,176,809 loading 0.0309
- chr3:63,796,388 loading 0.0306
- chr7:9,211,951 loading 0.0296