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CanVAS Hayward2016 · Founder
Cosmic medallion portrait of PFZ35C08_PFZ35C08, 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.

PFZ35C08_PFZ35C08

PFZ35C08_PFZ35C08 is a Rottweiler from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.

See PFZ35C08_PFZ35C08 in the atlas
About PFZ35C08_PFZ35C08

PFZ35C08_PFZ35C08 sits near the center of the Rottweiler cluster - genetically very typical for the breed.

  • Predicted small 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).
PFZ35C08_PFZ35C08's nearest neighbors

The five dogs in the atlas whose genomes sit closest to PFZ35C08_PFZ35C08's. Click any of them to keep exploring.

  1. PFZ15D11_PFZ15D11 Rottweiler 12.96
  2. PFZ34A02_PFZ34A02 Rottweiler 15.27
  3. PFZ15C12_PFZ15C12 Rottweiler 15.36
  4. PFZ8D12_PFZ8D12 Rottweiler 15.93
  5. PFZ39D01_PFZ39D01 Rottweiler 15.96
PFZ35C08_PFZ35C08's breed

PFZ35C08_PFZ35C08 sits firmly in the Rottweiler cluster.

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 100%
Source

From the CanVAS (Hayward2016 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 C/C
SMAD2 G/G
LCORL G/G
STC2 A/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 C/T
FGF5 C/C
KRT71 T/T
MC1R T/C
Ear set
MSRB3 A/A
Skull shape
BMP3 T/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 3.953
y 9.060
z -2.776
PCA-256 distance from breed centroid
16.32
Outlier percentile in breed
19
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which PFZ35C08_PFZ35C08 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC12 z = -7.87
  • chr12:3,203,806 loading 0.0259
  • chr13:8,570,429 loading -0.0258
  • chr3:39,845,469 loading 0.0255
PC11 z = -3.56
  • chr6:60,987,558 loading 0.0302
  • chr18:25,790,852 loading 0.0293
  • chr14:14,074,192 loading -0.0293
PC86 z = -2.31
  • chr22:2,473,315 loading 0.0460
  • chr22:2,231,766 loading 0.0451
  • chr22:2,271,992 loading 0.0447
Ancestry reconstruction error: 0.20
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