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CanVAS Spatola · Founder
Cosmic medallion portrait of GSHP_GSHP_13151, a German Shepherd
AI portrait
About this 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_13151

GSHP_GSHP_13151 is a German Shepherd from the Spatola research cohort. One of 14,478 dogs who built the atlas.

See GSHP_GSHP_13151 in the atlas
About GSHP_GSHP_13151

GSHP_GSHP_13151 is a strong genetic outlier within the German Shepherd cluster - among the most distinctive examples of their breed.

  • Predicted medium by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Carries one copy of the FGF4 chondrodysplasia retrogene.
GSHP_GSHP_13151's nearest neighbors

The five dogs in the atlas whose genomes sit closest to GSHP_GSHP_13151's. Click any of them to keep exploring.

  1. GSHP_GSHP_29551 German Shepherd 12.42
  2. GSHP_GSHP_03069 German Shepherd 13.25
  3. GSHP_GSHP_15392 German Shepherd 13.30
  4. GSHP_GSHP_29549 German Shepherd 13.58
  5. GSHP_GSHP_28771 German Shepherd 13.78
GSHP_GSHP_13151's breed

GSHP_GSHP_13151 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.

  1. Labrador Retriever 61%
  2. Golden Retriever 39%
Source

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.

Body size
IGF1 C/A
HMGA2 C/T
SMAD2 A/A
LCORL A/G
STC2
ADAMTS17 G/A
Leg length
FGF4·CFA18 T/C
FGF4·CFA12 C/C
Coat
RSPO2
FGF5 T/T
KRT71 C/C
MC1R C/C
Ear set
MSRB3
Skull shape
BMP3 C/T
SMOC2 G/G
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.

UMAP-3D position
x 0.399
y -0.121
z 3.838
PCA-256 distance from breed centroid
75.75
Outlier percentile in breed
99
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which GSHP_GSHP_13151 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC200 z = -1.84
  • chr26:9,892,015 loading 0.0403
  • chr19:3,081,516 loading 0.0393
  • chr26:3,675,581 loading 0.0362
PC163 z = -1.83
  • chr34:1,919,265 loading 0.0369
  • chr34:2,440,834 loading -0.0368
  • chr34:1,346,136 loading 0.0366
PC201 z = -1.80
  • chr28:5,497,677 loading 0.0416
  • chr28:5,428,661 loading 0.0337
  • chr20:7,134,018 loading 0.0323
Ancestry reconstruction error: 0.53