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CanVAS Spatola · Founder
Cosmic medallion portrait of KEES_KEES_28498, a Keeshond
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.

KEES_KEES_28498

KEES_KEES_28498 is a Keeshond from the Spatola research cohort. One of 14,478 dogs who built the atlas.

See KEES_KEES_28498 in the atlas
About KEES_KEES_28498

KEES_KEES_28498 is a strong genetic outlier within the Keeshond cluster - among the most distinctive examples of their breed.

  • Predicted small by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Standard leg length. No chondrodysplasia retrogene variant.
KEES_KEES_28498's nearest neighbors

The five dogs in the atlas whose genomes sit closest to KEES_KEES_28498's. Click any of them to keep exploring.

  1. KEES_KEES_24633 Keeshond 13.03
  2. KEES_KEES_24628 Keeshond 13.60
  3. KEES_KEES_24629 Keeshond 14.15
  4. KEES_KEES_22830 Keeshond 14.31
  5. KEES_KEES_29630 Keeshond 14.65
KEES_KEES_28498's breed

KEES_KEES_28498 sits in the Keeshond 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. Keeshond 93%
  2. Labrador Retriever 7%
Source

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

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/C
SMAD2 A/G
LCORL G/G
STC2 –
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 –
FGF5 T/C
KRT71 C/C
MC1R T/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 -2.333
y -5.781
z 0.459
PCA-256 distance from breed centroid
29.02
Outlier percentile in breed
100
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which KEES_KEES_28498 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC84 z = 6.59
  • chr5:75,426,581 loading 0.0352
  • chr23:35,872,989 loading -0.0350
  • chr16:38,943,549 loading -0.0346
PC89 z = -4.66
  • chr25:3,927,722 loading 0.0316
  • chr25:4,215,319 loading -0.0302
  • chr25:4,111,134 loading -0.0294
PC88 z = -4.04
  • chr9:17,136,318 loading 0.0333
  • chr18:47,049,795 loading -0.0330
  • chr9:15,299,806 loading -0.0320
Ancestry reconstruction error: 0.23
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