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CanVAS Hayward2016 · Founder
Cosmic medallion portrait of PFZ16F09_PFZ16F09, a Vizsla
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.

PFZ16F09_PFZ16F09

PFZ16F09_PFZ16F09 is a Vizsla from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.

See PFZ16F09_PFZ16F09 in the atlas
About PFZ16F09_PFZ16F09

PFZ16F09_PFZ16F09 is a notable Vizsla - distinctive within the breed.

  • Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Carries one copy of the FGF4 chondrodysplasia retrogene.
  • Carrier of the RSPO2 wire-coat variant (single copy).
PFZ16F09_PFZ16F09's nearest neighbors

The five dogs in the atlas whose genomes sit closest to PFZ16F09_PFZ16F09's. Click any of them to keep exploring.

  1. PFZ33B02_PFZ33B02 Vizsla 18.95
  2. PFZ32D09_PFZ32D09 Vizsla 19.00
  3. PFZ18G03_PFZ18G03 Vizsla 19.29
  4. PFZ38D12_PFZ38D12 Vizsla 19.39
  5. PFZ38D03_PFZ38D03 Vizsla 19.68
PFZ16F09_PFZ16F09's breed

PFZ16F09_PFZ16F09 sits in the Vizsla 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. Vizsla 86%
  2. Labrador Retriever 7%
  3. Golden Retriever 7%
Source

From the CanVAS (Hayward2016 cohort) . Breed-page reference: Vizsla.

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 C/A
HMGA2 T/T
SMAD2 A/A
LCORL A/G
STC2 C/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 T/C
FGF4·CFA12 C/C
Coat
RSPO2 C/T
FGF5 T/C
KRT71 C/C
MC1R C/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 -1.837
y 12.676
z -1.510
PCA-256 distance from breed centroid
19.44
Outlier percentile in breed
76
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which PFZ16F09_PFZ16F09 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC28 z = 5.87
  • chr1:23,982,151 loading 0.0270
  • chr20:38,628,243 loading 0.0270
  • chr12:42,365,450 loading 0.0269
PC30 z = 4.47
  • chr22:1,635,288 loading 0.0319
  • chr13:9,677,426 loading 0.0297
  • chr7:41,071,296 loading 0.0289
PC35 z = 2.18
  • chr3:87,605,064 loading 0.0312
  • chr29:22,312,754 loading 0.0292
  • chr30:3,709,721 loading -0.0270
Ancestry reconstruction error: 0.29
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