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.
Bernese_Mountain_Dog_17027
Bernese_Mountain_Dog_17027 is a Bernese Mountain Dog from the Hedan research cohort. One of 14,478 dogs who built the atlas.
See Bernese_Mountain_Dog_17027 in the atlasBernese_Mountain_Dog_17027 sits well inside the Bernese Mountain Dog cluster - a fairly typical example.
- 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.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to Bernese_Mountain_Dog_17027's. Click any of them to keep exploring.
Bernese_Mountain_Dog_17027 sits firmly in the Bernese Mountain Dog cluster.
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.
- Bernese Mountain Dog 100%
From the CanVAS (Hedan cohort) . Breed-page reference: Bernese Mountain Dog.
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 4.791
z -4.259
The 3 PCs on which Bernese_Mountain_Dog_17027 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr32:5,376,122 loading 0.0244
- chr22:41,669,426 loading -0.0232
- chr9:23,202,173 loading 0.0228
- chr7:42,935,741 loading 0.0386
- chr19:34,609,563 loading -0.0356
- chr30:22,656,587 loading 0.0321
- chr23:37,382,588 loading 0.0307
- chr7:21,991,064 loading -0.0305
- chr6:50,176,215 loading 0.0304