Skip to main content
snıff
CanVAS Hayward2016 · Founder
Cosmic medallion portrait of PFZ9G07_PFZ9G07, 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.

PFZ9G07_PFZ9G07

PFZ9G07_PFZ9G07 is a Rottweiler from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.

See PFZ9G07_PFZ9G07 in the atlas
About PFZ9G07_PFZ9G07

PFZ9G07_PFZ9G07 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.
  • Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
PFZ9G07_PFZ9G07's nearest neighbors

The five dogs in the atlas whose genomes sit closest to PFZ9G07_PFZ9G07's. Click any of them to keep exploring.

  1. PFZ35G07_PFZ35G07 Rottweiler 15.24
  2. RW_34409_RW_34409 Rottweiler 15.79
  3. PFZ8D12_PFZ8D12 Rottweiler 15.97
  4. PFZ15H08_PFZ15H08 Rottweiler 16.07
  5. PFZ41A07_PFZ41A07 Rottweiler 16.18
PFZ9G07_PFZ9G07's breed

PFZ9G07_PFZ9G07 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/T
SMAD2 G/G
LCORL G/G
STC2 A/A
ADAMTS17 G/G
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 A/A
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 4.001
y 9.096
z -2.819
PCA-256 distance from breed centroid
15.36
Outlier percentile in breed
4
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which PFZ9G07_PFZ9G07 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC12 z = -7.75
  • chr12:3,203,806 loading 0.0259
  • chr13:8,570,429 loading -0.0258
  • chr3:39,845,469 loading 0.0255
PC11 z = -3.79
  • chr6:60,987,558 loading 0.0302
  • chr18:25,790,852 loading 0.0293
  • chr14:14,074,192 loading -0.0293
PC14 z = 2.21
  • chr2:9,971,173 loading 0.0294
  • chr24:32,514,754 loading -0.0259
  • chr24:20,979,390 loading -0.0251
Ancestry reconstruction error: 0.19