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.
GSHP_GSHP_29548
GSHP_GSHP_29548 is a German Shepherd from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See GSHP_GSHP_29548 in the atlasGSHP_GSHP_29548 is a strong genetic outlier within the German Shepherd cluster - among the most distinctive examples of their breed.
- Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
The five dogs in the atlas whose genomes sit closest to GSHP_GSHP_29548's. Click any of them to keep exploring.
GSHP_GSHP_29548 sits in the Labrador Retriever cluster, with genome overlap to 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.
- Labrador Retriever 57%
- Golden Retriever 43%
From the CanVAS (Spatola cohort) . Breed-page reference: German Shepherd.
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 -0.125
z 3.880
The 3 PCs on which GSHP_GSHP_29548 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
- chr28:15,673,727 loading 0.0386
- chr7:26,386,959 loading -0.0358
- chr7:26,293,949 loading -0.0338
- chr23:3,426,742 loading 0.0355
- chr23:3,756,166 loading 0.0335
- chr4:38,305,840 loading 0.0333