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CanVAS JenkinsWGS · Founder
Cosmic medallion portrait of GB_33717_GB_33717, a Griffon Bruxellois
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.

GB_33717_GB_33717

GB_33717_GB_33717 is a Griffon Bruxellois from the JenkinsWGS research cohort. One of 14,478 dogs who built the atlas.

See GB_33717_GB_33717 in the atlas
About GB_33717_GB_33717
  • 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.
GB_33717_GB_33717's nearest neighbors

The five dogs in the atlas whose genomes sit closest to GB_33717_GB_33717's. Click any of them to keep exploring.

  1. PFZ4F02_PFZ4F02 Brussels Griffon 17.81
  2. PFZ5H09_PFZ5H09 Brussels Griffon 19.73
  3. AFF_32320_AFF_32320 Affenpinscher 26.06
  4. PFZ2H01_PFZ2H01 Village Dog Peru Puno 26.22
  5. CHI_28183_CHI_28183 Chihuahua 26.95
GB_33717_GB_33717's breed

GB_33717_GB_33717 sits in the Golden Retriever cluster, with genome overlap to 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. Golden Retriever 57%
  2. Labrador Retriever 43%
Source

From the CanVAS (JenkinsWGS cohort) . Breed-page reference: Griffon Bruxellois.

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 A/A
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 T/T
Ear set
MSRB3 G/A
Skull shape
BMP3 T/T
SMOC2 G/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 4.628
y 1.385
z 2.137
Top-3 principal components by |z|

The 3 PCs on which GB_33717_GB_33717 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC193 z = 2.50
  • chr19:1,162,032 loading 0.0555
  • chr19:1,420,658 loading 0.0489
  • chr19:1,685,081 loading -0.0433
PC165 z = 2.31
  • chr28:1,791,942 loading 0.0385
  • chr19:1,685,081 loading -0.0372
  • chr28:2,607,542 loading -0.0344
PC247 z = -2.06
  • chr3:7,959,527 loading 0.0294
  • chr16:43,038,278 loading -0.0293
  • chr19:17,213,086 loading 0.0288
Ancestry reconstruction error: 0.64
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