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CanVAS Spatola · Founder
Cosmic medallion portrait of GREE_GSl_0GT230, a Greyhound
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.

GREE_GSl_0GT230

GREE_GSl_0GT230 is a Greyhound from the Spatola research cohort. One of 14,478 dogs who built the atlas.

See GREE_GSl_0GT230 in the atlas
About GREE_GSl_0GT230

GREE_GSl_0GT230 is a notable Greyhound - distinctive within the breed.

  • Predicted large 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.
GREE_GSl_0GT230's nearest neighbors

The five dogs in the atlas whose genomes sit closest to GREE_GSl_0GT230's. Click any of them to keep exploring.

  1. GREE_GSl_0GT226 Greyhound 12.61
  2. GREE_GSl_0GT235 Greyhound 12.70
  3. GREE_GSl_0GT231 Greyhound 12.73
  4. GREE_GSl_0GT229 Greyhound 12.82
  5. GREE_GSl_0GT233 Greyhound 13.02
GREE_GSl_0GT230's breed

GREE_GSl_0GT230 sits in the Greyhound cluster, with genome overlap to Golden Retriever, and Labrador 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. Greyhound 59%
  2. Golden Retriever 20%
  3. Labrador Retriever 20%
Source

From the CanVAS (Spatola cohort) . Breed-page reference: Greyhound.

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 T/T
SMAD2 A/G
LCORL G/G
STC2 A/A
ADAMTS17 A/A
Leg length
FGF4·CFA18 T/C
FGF4·CFA12 C/C
Coat
RSPO2 C/C
FGF5 C/C
KRT71 C/C
MC1R C/C
Ear set
MSRB3 G/G
Skull shape
BMP3 C/C
SMOC2 A/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 -2.316
y -1.341
z 10.422
PCA-256 distance from breed centroid
87.14
Outlier percentile in breed
87
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which GREE_GSl_0GT230 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC46 z = 11.53
  • chr22:1,996,400 loading 0.0303
  • chr22:2,231,766 loading 0.0280
  • chr22:3,165,486 loading 0.0275
PC181 z = -7.96
  • chr19:2,539,757 loading 0.0344
  • chr3:6,392,552 loading -0.0326
  • chr6:16,157,160 loading 0.0301
PC171 z = 7.49
  • chr1:99,975,270 loading 0.0421
  • chr1:99,774,502 loading 0.0419
  • chr1:99,902,496 loading 0.0354
Ancestry reconstruction error: 0.65
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