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CanVAS Wiener · Founder
Cosmic medallion portrait of 66_G0380_0193, a Labrador Retriever
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.

66_G0380_0193

66_G0380_0193 is a Labrador Retriever from the Wiener research cohort. One of 14,478 dogs who built the atlas.

See 66_G0380_0193 in the atlas
About 66_G0380_0193

66_G0380_0193 is a notable Labrador Retriever - distinctive within the breed.

  • Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Standard leg length. No chondrodysplasia retrogene variant.
  • Carrier of the RSPO2 wire-coat variant (single copy).
66_G0380_0193's nearest neighbors

The five dogs in the atlas whose genomes sit closest to 66_G0380_0193's. Click any of them to keep exploring.

  1. 481_G0380_1026 Labrador Retriever 22.19
  2. 627_G0380_0325 Labrador Retriever 22.57
  3. 948_380G_1786 Labrador Retriever 22.67
  4. 228_G0380_0426 Labrador Retriever 22.72
  5. 835_380G_1499 Labrador Retriever 22.99
66_G0380_0193's breed

66_G0380_0193 sits in the Labrador Retriever cluster, with genome overlap to 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. Labrador Retriever 75%
  2. Golden Retriever 26%
Source

From the CanVAS (Wiener cohort) . Breed-page reference: Labrador Retriever.

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/C
HMGA2 T/T
SMAD2 G/G
LCORL G/G
STC2 C/C
ADAMTS17 G/G
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 –
Coat
RSPO2 C/T
FGF5 C/C
KRT71 C/C
MC1R T/C
Ear set
MSRB3 G/A
Skull shape
BMP3 C/C
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 -4.145
y 9.591
z 9.613
PCA-256 distance from breed centroid
64.19
Outlier percentile in breed
76
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which 66_G0380_0193 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC25 z = -4.29
  • chr5:76,272,702 loading 0.0268
  • chr15:24,890,350 loading -0.0263
  • chr4:32,151,890 loading 0.0256
PC10 z = 3.25
  • chr13:43,330,325 loading 0.0255
  • chr17:50,562,684 loading 0.0245
  • chr19:34,146,978 loading 0.0244
PC247 z = 3.12
  • chr3:7,959,527 loading 0.0294
  • chr16:43,038,278 loading -0.0293
  • chr19:17,213,086 loading 0.0288
Ancestry reconstruction error: 0.54
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