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CanVAS Spatola · Founder
Cosmic medallion portrait of BEDT_BEDT_27105, a Bedlington 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.

BEDT_BEDT_27105

BEDT_BEDT_27105 is a Bedlington Terrier from the Spatola research cohort. One of 14,478 dogs who built the atlas.

See BEDT_BEDT_27105 in the atlas
About BEDT_BEDT_27105

BEDT_BEDT_27105 sits well inside the Bedlington Terrier cluster - a fairly typical example.

  • Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Standard leg length. No chondrodysplasia retrogene variant.
BEDT_BEDT_27105's nearest neighbors

The five dogs in the atlas whose genomes sit closest to BEDT_BEDT_27105's. Click any of them to keep exploring.

  1. BEDT_BEDT_28916 Bedlington Terrier 9.61
  2. BEDT_BEDT_28909 Bedlington Terrier 11.00
  3. BEDT_BEDT_28915 Bedlington Terrier 12.48
  4. BT_1317_BT_1317 Bedlington Terrier 40.42
  5. PFZ17A06_PFZ17A06 Bedlington Terrier 41.99
BEDT_BEDT_27105's breed

BEDT_BEDT_27105 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 54%
  2. Golden Retriever 46%
Source

From the CanVAS (Spatola cohort) . Breed-page reference: Bedlington 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 –
HMGA2 T/T
SMAD2 A/G
LCORL G/G
STC2 C/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 –
FGF5 C/C
KRT71 T/C
MC1R T/C
Ear set
MSRB3 –
Skull shape
BMP3 –
SMOC2 A/A
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 1.042
y -0.280
z 3.339
PCA-256 distance from breed centroid
10.11
Outlier percentile in breed
27
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which BEDT_BEDT_27105 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC146 z = 8.74
  • chr2:41,835,446 loading 0.0357
  • chr2:40,086,289 loading 0.0341
  • chr22:28,657,814 loading -0.0335
PC158 z = 7.40
  • chr1:69,893,718 loading 0.0314
  • chr1:64,453,595 loading -0.0313
  • chr8:29,102,271 loading -0.0309
PC153 z = -7.35
  • chr1:8,915,253 loading 0.0302
  • chr21:10,672,189 loading 0.0296
  • chr32:19,444,200 loading -0.0293
Ancestry reconstruction error: 0.89
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