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CanVAS JenkinsWGS · Founder
Cosmic medallion portrait of V_21485_V_21485, a Vizsla (Smooth Coat)
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.

V_21485_V_21485

V_21485_V_21485 is a Vizsla (Smooth Coat) from the JenkinsWGS research cohort. One of 14,478 dogs who built the atlas.

See V_21485_V_21485 in the atlas
About V_21485_V_21485
  • 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.
V_21485_V_21485's nearest neighbors

The five dogs in the atlas whose genomes sit closest to V_21485_V_21485's. Click any of them to keep exploring.

  1. V_28763_V_28763 Vizsla (Smooth Coat) 17.62
  2. V_34007_V_34007 Vizsla (Smooth Coat) 17.87
  3. V_23005_V_23005 Vizsla (Smooth Coat) 20.82
  4. PFZ18G03_PFZ18G03 Vizsla 20.99
  5. PFZ44A02_PFZ44A02 Vizsla 21.62
V_21485_V_21485's breed

V_21485_V_21485 sits in the Vizsla cluster, with genome overlap to Golden Retriever, and 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. Vizsla 87%
  2. Golden Retriever 7%
  3. Labrador Retriever 7%
Source

From the CanVAS (JenkinsWGS cohort) . Breed-page reference: Vizsla (Smooth Coat).

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/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 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 -1.776
y 12.738
z -1.571
Top-3 principal components by |z|

The 3 PCs on which V_21485_V_21485 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC28 z = 5.72
  • chr1:23,982,151 loading 0.0270
  • chr20:38,628,243 loading 0.0270
  • chr12:42,365,450 loading 0.0269
PC30 z = 4.20
  • chr22:1,635,288 loading 0.0319
  • chr13:9,677,426 loading 0.0297
  • chr7:41,071,296 loading 0.0289
PC248 z = 2.26
  • chr26:5,045,393 loading 0.0400
  • chr26:4,196,092 loading -0.0355
  • chr26:4,873,718 loading -0.0344
Ancestry reconstruction error: 0.39
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