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CanVAS Chen · Founder
Cosmic medallion portrait of W_BoT_BoT_LU48, a Border Terrier
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.

W_BoT_BoT_LU48

W_BoT_BoT_LU48 is a Border Terrier from the Chen research cohort. One of 14,478 dogs who built the atlas.

See W_BoT_BoT_LU48 in the atlas
About W_BoT_BoT_LU48

W_BoT_BoT_LU48 is a notable Border Terrier - distinctive within the breed.

  • 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.
W_BoT_BoT_LU48's nearest neighbors

The five dogs in the atlas whose genomes sit closest to W_BoT_BoT_LU48's. Click any of them to keep exploring.

  1. BoT_LU48_BoT_LU48 Border Terrier 4.90
  2. BoT_LU79_BoT_LU79 Border Terrier 13.63
  3. BoT_LU71_BoT_LU71 Border Terrier 15.06
  4. BoT_LU60_BoT_LU60 Border Terrier 16.52
  5. BoT_33852_BoT_33852 Border Terrier 16.59
W_BoT_BoT_LU48's breed

W_BoT_BoT_LU48 sits in the Border Terrier 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. Border Terrier 94%
  2. Golden Retriever 6%
Source

From the CanVAS (Chen cohort) . Breed-page reference: Border Terrier.

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 C/C
KRT71 T/T
MC1R C/C
Ear set
MSRB3 A/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 3.616
y -7.496
z 0.775
PCA-256 distance from breed centroid
22.66
Outlier percentile in breed
81
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which W_BoT_BoT_LU48 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC29 z = -15.05
  • chr1:102,240,612 loading 0.0273
  • chr5:54,742,971 loading 0.0258
  • chr22:42,777,787 loading 0.0256
PC39 z = 3.66
  • chr38:19,205,467 loading 0.0283
  • chr22:8,222,365 loading 0.0280
  • chr29:3,059,812 loading 0.0271
PC31 z = 3.53
  • chr4:74,176,809 loading 0.0309
  • chr3:63,796,388 loading 0.0306
  • chr7:9,211,951 loading 0.0296
Ancestry reconstruction error: 0.22
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