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.
BORT_BoT_00LU65
BORT_BoT_00LU65 is a Border Terrier from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See BORT_BoT_00LU65 in the atlasBORT_BoT_00LU65 is a strong genetic outlier within the Border Terrier cluster - among the most distinctive examples of their breed.
- Predicted small by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to BORT_BoT_00LU65's. Click any of them to keep exploring.
BORT_BoT_00LU65 sits in the Border Terrier 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.
- Border Terrier 53%
- Labrador Retriever 28%
- Golden Retriever 19%
From the CanVAS (Spatola cohort) . Breed-page reference: Border Terrier.
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 4.950
z 4.342
The 3 PCs on which BORT_BoT_00LU65 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr1:100,458,946 loading 0.0361
- chr1:100,542,384 loading 0.0353
- chr24:4,330,562 loading -0.0340
- chr7:40,629,884 loading 0.0367
- chr7:40,535,333 loading 0.0324
- chr18:50,696,547 loading 0.0323
- chr2:48,735,597 loading 0.0380
- chr23:1,924,139 loading -0.0317
- chr23:1,615,600 loading -0.0317