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CanVAS Spatola · Founder
Cosmic medallion portrait of GPYR_GPYR_12349, a Great Pyrenees
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.

GPYR_GPYR_12349

GPYR_GPYR_12349 is a Great Pyrenees from the Spatola research cohort. One of 14,478 dogs who built the atlas.

See GPYR_GPYR_12349 in the atlas
About GPYR_GPYR_12349

GPYR_GPYR_12349 sits well inside the Great Pyrenees cluster - a fairly typical example.

  • Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Carries one copy of the FGF4 chondrodysplasia retrogene.
GPYR_GPYR_12349's nearest neighbors

The five dogs in the atlas whose genomes sit closest to GPYR_GPYR_12349's. Click any of them to keep exploring.

  1. GPYR_GPYR_08840 Great Pyrenees 10.04
  2. GPYR_GPYR_04971 Great Pyrenees 11.25
  3. GPYR_GPYR_04168 Great Pyrenees 11.41
  4. GPYR_GPYR_06369 Great Pyrenees 11.82
  5. GPYR_GPYR_08839 Great Pyrenees 12.18
GPYR_GPYR_12349's breed

GPYR_GPYR_12349 sits in the Great Pyrenees 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. Great Pyrenees 87%
  2. Labrador Retriever 8%
  3. Golden Retriever 5%
Source

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

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 G/G
LCORL G/G
STC2 C/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 T/C
Coat
RSPO2 –
FGF5 C/C
KRT71 C/C
MC1R C/C
Ear set
MSRB3 G/A
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 0.090
y -1.759
z 4.489
PCA-256 distance from breed centroid
21.20
Outlier percentile in breed
25
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which GPYR_GPYR_12349 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC98 z = 6.56
  • chr1:70,040,058 loading 0.0369
  • chr1:99,414,793 loading -0.0351
  • chr24:7,157,643 loading 0.0343
PC95 z = -6.33
  • chr22:27,265,197 loading 0.0431
  • chr5:72,529,391 loading 0.0328
  • chr10:5,349,288 loading 0.0317
PC110 z = 5.53
  • chr25:1,742,133 loading 0.0401
  • chr28:2,607,542 loading 0.0393
  • chr25:1,819,027 loading 0.0392
Ancestry reconstruction error: 0.16
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