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CanVAS Spatola · Founder
Cosmic medallion portrait of CHOW_CHOW_28874, a Chow Chow
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.

CHOW_CHOW_28874

CHOW_CHOW_28874 is a Chow Chow from the Spatola research cohort. One of 14,478 dogs who built the atlas.

See CHOW_CHOW_28874 in the atlas
About CHOW_CHOW_28874

CHOW_CHOW_28874 sits near the center of the Chow Chow cluster - genetically very typical for the breed.

  • Predicted medium 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.
CHOW_CHOW_28874's nearest neighbors

The five dogs in the atlas whose genomes sit closest to CHOW_CHOW_28874's. Click any of them to keep exploring.

  1. CHOW_CHOW_28871 Chow Chow 9.47
  2. CHOW_CHOW_22802 Chow Chow 9.57
  3. CHOW_CHOW_13802 Chow Chow 9.70
  4. CHOW_CHOW_28885 Chow Chow 9.87
  5. CHOW_CHOW_28872 Chow Chow 9.92
CHOW_CHOW_28874's breed

CHOW_CHOW_28874 sits in the Golden Retriever cluster, with genome overlap to 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. Golden Retriever 58%
  2. Labrador Retriever 42%
Source

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

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 C/T
SMAD2 A/G
LCORL G/G
STC2 C/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 T/T
Coat
RSPO2 –
FGF5 T/T
KRT71 T/C
MC1R C/C
Ear set
MSRB3 –
Skull shape
BMP3 –
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 0.043
y -1.917
z 2.597
PCA-256 distance from breed centroid
19.61
Outlier percentile in breed
6
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which CHOW_CHOW_28874 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC46 z = 4.42
  • chr22:1,996,400 loading 0.0303
  • chr22:2,231,766 loading 0.0280
  • chr22:3,165,486 loading 0.0275
PC50 z = 3.72
  • chr22:2,473,315 loading 0.0334
  • chr22:1,969,643 loading -0.0326
  • chr4:32,946,669 loading -0.0320
PC132 z = 3.01
  • chr3:4,746,866 loading 0.0453
  • chr3:4,905,795 loading 0.0406
  • chr13:12,284,714 loading 0.0392
Ancestry reconstruction error: 0.44
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