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.
BORD_BoC_00GT66
BORD_BoC_00GT66 is a Border Collie from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See BORD_BoC_00GT66 in the atlasBORD_BoC_00GT66 is a strong genetic outlier within the Border Collie 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).
- 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 BORD_BoC_00GT66's. Click any of them to keep exploring.
BORD_BoC_00GT66 sits in the Border Collie 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 Collie 69%
- Labrador Retriever 16%
- Golden Retriever 15%
From the CanVAS (Spatola cohort) . Breed-page reference: Border Collie.
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 -1.035
z 4.314
The 3 PCs on which BORD_BoC_00GT66 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr1:23,982,151 loading 0.0270
- chr20:38,628,243 loading 0.0270
- chr12:42,365,450 loading 0.0269
- chr12:64,188,765 loading 0.0337
- chr23:18,821,315 loading -0.0287
- chr4:53,307,196 loading -0.0287
- chr29:21,886,817 loading 0.0283
- chr32:36,857,898 loading -0.0278
- chr37:28,513,334 loading -0.0274