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CanVAS Spatola · Founder
Cosmic medallion portrait of GREE_GSl_0GT232, 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_0GT232

GREE_GSl_0GT232 is a Greyhound from the Spatola research cohort. One of 14,478 dogs who built the atlas.

See GREE_GSl_0GT232 in the atlas
About GREE_GSl_0GT232

GREE_GSl_0GT232 sits at the edge of the Greyhound cluster but still well within it.

  • 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.
GREE_GSl_0GT232's nearest neighbors

The five dogs in the atlas whose genomes sit closest to GREE_GSl_0GT232's. Click any of them to keep exploring.

  1. GREE_GSl_0GT234 Greyhound 10.84
  2. GREE_GSl_0GT227 Greyhound 11.23
  3. AMAL_AMAL_29541 Alaskan Malamute 33.94
  4. AMAL_AMAL_29547 Alaskan Malamute 34.87
  5. AMAL_AMAL_29545 Alaskan Malamute 35.73
GREE_GSl_0GT232's breed

GREE_GSl_0GT232 sits in the Greyhound cluster, with genome overlap to Labrador Retriever, and 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. Greyhound 55%
  2. Labrador Retriever 24%
  3. Golden Retriever 21%
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 –
HMGA2 T/T
SMAD2 A/G
LCORL G/G
STC2 –
ADAMTS17 –
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 T/C
Coat
RSPO2 –
FGF5 C/C
KRT71 C/C
MC1R C/C
Ear set
MSRB3 –
Skull shape
BMP3 C/T
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 7.114
y 7.951
z -5.529
PCA-256 distance from breed centroid
66.73
Outlier percentile in breed
71
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which GREE_GSl_0GT232 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC46 z = 7.37
  • chr22:1,996,400 loading 0.0303
  • chr22:2,231,766 loading 0.0280
  • chr22:3,165,486 loading 0.0275
PC45 z = 5.54
  • chr21:49,887,138 loading 0.0323
  • chr14:48,394,398 loading -0.0308
  • chr32:37,683,789 loading -0.0274
PC176 z = -4.46
  • chr13:1,243,516 loading 0.0372
  • chr13:4,612,002 loading -0.0358
  • chr13:2,021,999 loading -0.0342
Ancestry reconstruction error: 0.57
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