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CanVAS Spatola · Founder
Cosmic medallion portrait of BOER_BOER_18F01, a Boerboel
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.

BOER_BOER_18F01

BOER_BOER_18F01 is a Boerboel from the Spatola research cohort. One of 14,478 dogs who built the atlas.

See BOER_BOER_18F01 in the atlas
About BOER_BOER_18F01
  • Predicted giant 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.
BOER_BOER_18F01's nearest neighbors

The five dogs in the atlas whose genomes sit closest to BOER_BOER_18F01's. Click any of them to keep exploring.

  1. BOER_BOER_22A07 Boerboel 15.67
  2. BOER_BOER_18F10 Boerboel 16.29
  3. AMST_AMST_Z9A04 American Staffordshire Terrier 23.43
  4. ARM_ARM_37A Village Dog Armenia 24.47
  5. MAST_MAST_15585 Mastiff 24.77
BOER_BOER_18F01's breed

BOER_BOER_18F01 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 61%
  2. Golden Retriever 39%
Source

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

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 G/G
LCORL G/G
STC2 C/C
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 C/C
FGF5 T/T
KRT71 C/C
MC1R C/C
Ear set
MSRB3 G/A
Skull shape
BMP3 C/C
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 -3.747
y 4.659
z 4.602
Top-3 principal components by |z|

The 3 PCs on which BOER_BOER_18F01 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC96 z = -3.34
  • chr4:32,151,890 loading 0.0295
  • chr1:72,831,562 loading 0.0294
  • chr30:30,843,842 loading 0.0291
PC106 z = 2.97
  • chr3:6,720,531 loading 0.0359
  • chr6:29,063,786 loading -0.0348
  • chr3:6,180,668 loading 0.0337
PC46 z = -2.67
  • chr22:1,996,400 loading 0.0303
  • chr22:2,231,766 loading 0.0280
  • chr22:3,165,486 loading 0.0275
Ancestry reconstruction error: 0.40
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