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CanVAS Wiener · Founder
Cosmic medallion portrait of 916_380G_1600, 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.

916_380G_1600

916_380G_1600 is a Labrador Retriever from the Wiener research cohort. One of 14,478 dogs who built the atlas.

See 916_380G_1600 in the atlas
About 916_380G_1600

916_380G_1600 sits well inside the Labrador Retriever cluster - a fairly typical example.

  • Predicted large 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).
916_380G_1600's nearest neighbors

The five dogs in the atlas whose genomes sit closest to 916_380G_1600's. Click any of them to keep exploring.

  1. 683_G0380_1313 Labrador Retriever 20.31
  2. 129_G0380_0294 Labrador Retriever 20.44
  3. 943_380G_1642 Labrador Retriever 20.52
  4. 815_380G_1539 Labrador Retriever 20.66
  5. 714_G0380_1036 Labrador Retriever 20.80
916_380G_1600's breed

916_380G_1600 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 25%
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/A
HMGA2 C/T
SMAD2 G/G
LCORL G/G
STC2 C/A
ADAMTS17 G/G
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 –
Coat
RSPO2 C/T
FGF5 T/C
KRT71 C/C
MC1R T/T
Ear set
MSRB3 G/G
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 -3.783
y 8.170
z 10.696
PCA-256 distance from breed centroid
58.77
Outlier percentile in breed
47
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which 916_380G_1600 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC10 z = 3.09
  • chr13:43,330,325 loading 0.0255
  • chr17:50,562,684 loading 0.0245
  • chr19:34,146,978 loading 0.0244
PC0 z = -2.25
  • chr31:24,034,799 loading 0.0198
  • chr4:6,597,969 loading 0.0191
  • chr4:12,554,691 loading 0.0189
PC250 z = 1.99
  • chr9:17,840,166 loading 0.0300
  • chr9:50,441,577 loading 0.0297
  • chr15:28,843,971 loading -0.0296
Ancestry reconstruction error: 0.47
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