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.
LE44_LE44
LE44_LE44 is labelled Village Dog Lebanon Beruit in the Shannon cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See LE44_LE44 in the atlasLE44_LE44 sits at the edge of the Village Dog Lebanon Beruit cluster but still well within it.
- Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries both copies of the FGF4 chondrodysplasia retrogene - the short-leg variant in Dachshund, Pembroke Corgi, Basset Hound.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to LE44_LE44's. Click any of them to keep exploring.
LE44_LE44's genome decomposes mostly into Vizsla, with additional weight on German Shepherd, Labrador Retriever, and 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.
- Vizsla 38%
- German Shepherd 33%
- Labrador Retriever 16%
- Golden Retriever 14%
From the CanVAS (Shannon cohort) . Breed-page reference: Village Dog Lebanon Beruit.
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 1.797
z 1.470
The 3 PCs on which LE44_LE44 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr25:28,817,053 loading 0.0428
- chr25:4,418,784 loading 0.0393
- chr25:26,660,651 loading 0.0386
- chr26:5,045,393 loading 0.0400
- chr26:4,196,092 loading -0.0355
- chr26:4,873,718 loading -0.0344
- chr6:1,658,873 loading 0.0279
- chr6:1,741,489 loading 0.0277
- chr27:35,211,437 loading -0.0271