Skip to main content
snıff
CanVAS Spatola · Founder
Cosmic medallion portrait of BRUS_BRUS_Z5H09, a Brussels Griffon
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.

BRUS_BRUS_Z5H09

BRUS_BRUS_Z5H09 is a Brussels Griffon from the Spatola research cohort. One of 14,478 dogs who built the atlas.

See BRUS_BRUS_Z5H09 in the atlas
About BRUS_BRUS_Z5H09
  • Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Standard leg length. No chondrodysplasia retrogene variant.
  • Smooth coat. No wire-furnishings variant at RSPO2.
BRUS_BRUS_Z5H09's nearest neighbors

The five dogs in the atlas whose genomes sit closest to BRUS_BRUS_Z5H09's. Click any of them to keep exploring.

  1. BRUS_BRUS_Z4F02 Brussels Griffon 13.83
  2. RTVB_RTVB_31259 Retriever Breed Unknown 21.21
  3. SLOV_SLOV_7SL Village Dog Slovakia 21.42
  4. SLOV_4SL Village Dog Slovakia 21.50
  5. POL_POL_20PL Polish Lowland Sheepdog 21.70
BRUS_BRUS_Z5H09's breed

BRUS_BRUS_Z5H09 sits in the Labrador Retriever cluster, with genome overlap to 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. Labrador Retriever 57%
  2. Golden Retriever 43%
Source

From the CanVAS (Spatola cohort) . Breed-page reference: Brussels Griffon.

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/C
HMGA2 C/T
SMAD2 A/A
LCORL G/G
STC2 C/C
ADAMTS17 G/G
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 C/C
FGF5 C/C
KRT71 C/C
MC1R T/T
Ear set
MSRB3 G/A
Skull shape
BMP3 C/C
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 -3.816
y 5.371
z 4.631
Top-3 principal components by |z|

The 3 PCs on which BRUS_BRUS_Z5H09 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC10 z = -2.33
  • chr13:43,330,325 loading 0.0255
  • chr17:50,562,684 loading 0.0245
  • chr19:34,146,978 loading 0.0244
PC201 z = 2.32
  • chr28:5,497,677 loading 0.0416
  • chr28:5,428,661 loading 0.0337
  • chr20:7,134,018 loading 0.0323
PC31 z = -2.10
  • chr4:74,176,809 loading 0.0309
  • chr3:63,796,388 loading 0.0306
  • chr7:9,211,951 loading 0.0296
Ancestry reconstruction error: 0.32
Back to the Atlas →