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CanVAS Hedan · Founder
Cosmic medallion portrait of Rottweiler_8362, a Rottweiler
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.

Rottweiler_8362

Rottweiler_8362 is a Rottweiler from the Hedan research cohort. One of 14,478 dogs who built the atlas.

See Rottweiler_8362 in the atlas
About Rottweiler_8362

Rottweiler_8362 sits at the edge of the Rottweiler cluster but still well within it.

  • Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Standard leg length. No chondrodysplasia retrogene variant.
  • Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
Rottweiler_8362's nearest neighbors

The five dogs in the atlas whose genomes sit closest to Rottweiler_8362's. Click any of them to keep exploring.

  1. Rottweiler_8753 Rottweiler 15.82
  2. Rottweiler_2987 Rottweiler 16.03
  3. Rottweiler_4388 Rottweiler 16.05
  4. Rottweiler_7796 Rottweiler 16.12
  5. Rottweiler_9073 Rottweiler 16.24
Rottweiler_8362's breed

Rottweiler_8362 sits in the Rottweiler 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. Rottweiler 95%
  2. Labrador Retriever 5%
Source

From the CanVAS (Hedan cohort) . Breed-page reference: Rottweiler.

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 A/A
ADAMTS17 A/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 T/T
FGF5 C/C
KRT71 T/C
MC1R C/C
Ear set
MSRB3 –
Skull shape
BMP3 C/T
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 0.565
y 1.605
z 11.493
PCA-256 distance from breed centroid
21.71
Outlier percentile in breed
63
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which Rottweiler_8362 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC12 z = -7.48
  • chr12:3,203,806 loading 0.0259
  • chr13:8,570,429 loading -0.0258
  • chr3:39,845,469 loading 0.0255
PC86 z = 3.43
  • chr22:2,473,315 loading 0.0460
  • chr22:2,231,766 loading 0.0451
  • chr22:2,271,992 loading 0.0447
PC11 z = -3.38
  • chr6:60,987,558 loading 0.0302
  • chr18:25,790,852 loading 0.0293
  • chr14:14,074,192 loading -0.0293
Ancestry reconstruction error: 0.29
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