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CanVAS Spatola · Founder
Cosmic medallion portrait of PEKE_PEKE_23359, a Pekingese
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.

PEKE_PEKE_23359

PEKE_PEKE_23359 is a Pekingese from the Spatola research cohort. One of 14,478 dogs who built the atlas.

See PEKE_PEKE_23359 in the atlas
About PEKE_PEKE_23359

PEKE_PEKE_23359 sits at the edge of the Pekingese cluster but still well within it.

  • Predicted small 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.
PEKE_PEKE_23359's nearest neighbors

The five dogs in the atlas whose genomes sit closest to PEKE_PEKE_23359's. Click any of them to keep exploring.

  1. PEKE_PEKE_23354 Pekingese 10.87
  2. PEKE_PEKE_23347 Pekingese 11.29
  3. PEKE_PEKE_27448 Pekingese 11.45
  4. PEKE_PEKE_24587 Pekingese 11.79
  5. PEKE_PEKE_23363 Pekingese 11.98
PEKE_PEKE_23359's breed

PEKE_PEKE_23359 sits in the Pekingese 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. Pekingese 87%
  2. Labrador Retriever 7%
  3. Golden Retriever 6%
Source

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

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/C
SMAD2 A/A
LCORL G/G
STC2 –
ADAMTS17 –
Leg length
FGF4·CFA18 T/T
FGF4·CFA12 T/C
Coat
RSPO2 –
FGF5 T/C
KRT71 C/C
MC1R C/C
Ear set
MSRB3 –
Skull shape
BMP3 –
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 1.660
y 0.007
z 13.703
PCA-256 distance from breed centroid
25.45
Outlier percentile in breed
62
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which PEKE_PEKE_23359 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC151 z = -7.60
  • chr8:31,106,810 loading 0.0325
  • chr8:5,470,795 loading -0.0318
  • chr19:36,545,009 loading -0.0310
PC147 z = -4.95
  • chr20:14,856,460 loading 0.0316
  • chr10:6,497,921 loading 0.0302
  • chr10:6,396,863 loading 0.0301
PC153 z = 4.94
  • chr1:8,915,253 loading 0.0302
  • chr21:10,672,189 loading 0.0296
  • chr32:19,444,200 loading -0.0293
Ancestry reconstruction error: 0.24
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