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CanVAS Hayward2016 · Founder
Cosmic medallion portrait of B10-Lilo-Control-YT_B10-Lilo-Control-YT
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.

B10-Lilo-Control-YT_B10-Lilo-Control-YT

B10-Lilo-Control-YT_B10-Lilo-Control-YT is a research dog from the Hayward2016 cohort. They weren't given a breed label - they're one of the dogs that helps the atlas understand what falls between breeds.

See B10-Lilo-Control-YT_B10-Lilo-Control-YT in the atlas
About B10-Lilo-Control-YT_B10-Lilo-Control-YT
  • Predicted small by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Carries both copies of the FGF4 chondrodysplasia retrogene - the short-leg variant in Dachshund, Pembroke Corgi, Basset Hound.
  • Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
B10-Lilo-Control-YT_B10-Lilo-Control-YT's nearest neighbors

The five dogs in the atlas whose genomes sit closest to B10-Lilo-Control-YT_B10-Lilo-Control-YT's. Click any of them to keep exploring.

  1. B10-Lilo-Bennet-Oram-YT_B10-Lilo-Bennet-Oram-YT Yorkshire Terrier 1.45
  2. B8-Toby-PSVA-YT_B8-Toby-PSVA-YT 15.11
  3. B8-Toby-Bennet-Oram-YT_B8-Toby-Bennet-Oram-YT Yorkshire Terrier 15.19
  4. G8-Maggie-Mae-PSVA-YT_G8-Maggie-Mae-PSVA-YT 24.99
  5. G8-Maggie-Mae-Bennet-YT_G8-Maggie-Mae-Bennet-YT Yorkshire Terrier 25.00
B10-Lilo-Control-YT_B10-Lilo-Control-YT's breed

B10-Lilo-Control-YT_B10-Lilo-Control-YT's genome decomposes mostly into Yorkshire Terrier, with additional weight on Maltese, Labrador Retriever, and Golden Retriever.

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. Yorkshire Terrier 73%
  2. Maltese 12%
  3. Labrador Retriever 9%
  4. Golden Retriever 7%
Source

From the CanVAS (Hayward2016 cohort) .

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 C/A
ADAMTS17 A/A
Leg length
FGF4·CFA18 T/T
FGF4·CFA12 C/C
Coat
RSPO2 T/T
FGF5 T/T
KRT71 C/C
MC1R T/C
Ear set
MSRB3 G/G
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 7.955
y -2.853
z 0.759
Top-3 principal components by |z|

The 3 PCs on which B10-Lilo-Control-YT_B10-Lilo-Control-YT scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC237 z = 7.26
  • chr18:10,316,807 loading 0.0412
  • chr18:49,993,975 loading -0.0328
  • chr4:32,494,543 loading 0.0323
PC234 z = 6.44
  • chr4:83,381,939 loading 0.0343
  • chr10:64,946,466 loading 0.0322
  • chr30:24,029,755 loading -0.0321
PC241 z = -5.70
  • chr29:25,388,461 loading 0.0320
  • chr9:34,293,305 loading 0.0320
  • chr6:50,176,215 loading 0.0305
Ancestry reconstruction error: 0.70
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