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CanVAS Wiener · Founder
Cosmic medallion portrait of 970_380G_1834, 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.

970_380G_1834

970_380G_1834 is a Labrador Retriever from the Wiener research cohort. One of 14,478 dogs who built the atlas.

See 970_380G_1834 in the atlas
About 970_380G_1834

970_380G_1834 sits at the edge of the Labrador Retriever cluster but still well within it.

  • Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Standard leg length. No chondrodysplasia retrogene variant.
  • Smooth coat. No wire-furnishings variant at RSPO2.
970_380G_1834's nearest neighbors

The five dogs in the atlas whose genomes sit closest to 970_380G_1834's. Click any of them to keep exploring.

  1. 101_G0380_0262 Labrador Retriever 23.76
  2. 167_G0380_0344 Labrador Retriever 25.56
  3. 246_G0380_0454 Labrador Retriever 27.66
  4. 916_380G_1600 Labrador Retriever 28.09
  5. 998_380G_1816 Labrador Retriever 28.43
970_380G_1834's breed

970_380G_1834 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 A/A
HMGA2 T/T
SMAD2 G/G
LCORL G/G
STC2 C/C
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 –
Coat
RSPO2 C/C
FGF5 C/C
KRT71 C/C
MC1R C/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 -3.731
y 8.102
z 10.750
PCA-256 distance from breed centroid
62.46
Outlier percentile in breed
68
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which 970_380G_1834 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC233 z = -4.20
  • chr16:48,608,303 loading 0.0348
  • chr13:24,655,299 loading -0.0330
  • chr23:1,734,032 loading 0.0330
PC227 z = -4.15
  • chr27:43,803,988 loading 0.0373
  • chr12:19,514,576 loading 0.0344
  • chr20:11,758,428 loading -0.0328
PC228 z = 3.23
  • chr25:25,192,682 loading 0.0383
  • chr24:37,936,747 loading 0.0329
  • chr25:20,642,955 loading -0.0315
Ancestry reconstruction error: 0.51
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