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.
W_BoC_BoC_GT71
W_BoC_BoC_GT71 is a Border Collie from the Chen research cohort. One of 14,478 dogs who built the atlas.
See W_BoC_BoC_GT71 in the atlasW_BoC_BoC_GT71 sits near the center of the Border Collie cluster - genetically very typical for 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 W_BoC_BoC_GT71's. Click any of them to keep exploring.
W_BoC_BoC_GT71 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 75%
- Labrador Retriever 13%
- Golden Retriever 12%
From the CanVAS (Chen 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 8.976
z -4.061
The 3 PCs on which W_BoC_BoC_GT71 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
- chr22:1,635,288 loading 0.0319
- chr13:9,677,426 loading 0.0297
- chr7:41,071,296 loading 0.0289