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CanVAS Spatola · Founder
Cosmic medallion portrait of ROTT_Rtw_0GT355, 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.

ROTT_Rtw_0GT355

ROTT_Rtw_0GT355 is a Rottweiler from the Spatola research cohort. One of 14,478 dogs who built the atlas.

See ROTT_Rtw_0GT355 in the atlas
About ROTT_Rtw_0GT355

ROTT_Rtw_0GT355 is a strong genetic outlier within the Rottweiler cluster - among the most distinctive examples of their breed.

  • Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Standard leg length. No chondrodysplasia retrogene variant.
ROTT_Rtw_0GT355's nearest neighbors

The five dogs in the atlas whose genomes sit closest to ROTT_Rtw_0GT355's. Click any of them to keep exploring.

  1. ROTT_ROTT_01014 Rottweiler 13.50
  2. ROTT_ROTT_21895 Rottweiler 13.58
  3. ROTT_ROTT_13005 Rottweiler 13.88
  4. ROTT_ROTT_15437 Rottweiler 14.03
  5. ROTT_Rtw_0GT352 Rottweiler 14.08
ROTT_Rtw_0GT355's breed

ROTT_Rtw_0GT355 sits in the Rottweiler 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. Rottweiler 81%
  2. Labrador Retriever 11%
  3. Golden Retriever 8%
Source

From the CanVAS (Spatola 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 –
HMGA2 C/T
SMAD2 G/G
LCORL G/G
STC2 C/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 –
FGF5 C/C
KRT71 T/C
MC1R C/C
Ear set
MSRB3 –
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 -4.281
y -4.699
z 3.401
PCA-256 distance from breed centroid
42.58
Outlier percentile in breed
98
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which ROTT_Rtw_0GT355 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC12 z = -4.69
  • chr12:3,203,806 loading 0.0259
  • chr13:8,570,429 loading -0.0258
  • chr3:39,845,469 loading 0.0255
PC11 z = -2.03
  • chr6:60,987,558 loading 0.0302
  • chr18:25,790,852 loading 0.0293
  • chr14:14,074,192 loading -0.0293
PC84 z = -1.48
  • chr5:75,426,581 loading 0.0352
  • chr23:35,872,989 loading -0.0350
  • chr16:38,943,549 loading -0.0346
Ancestry reconstruction error: 0.32
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