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CanVAS Shannon · Founder
Cosmic medallion portrait of UCLA_In3_UCLA_In3, a Gray Wolf
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.

UCLA_In3_UCLA_In3

UCLA_In3_UCLA_In3 is a Gray Wolf from the Shannon research cohort. One of 14,478 dogs who built the atlas.

See UCLA_In3_UCLA_In3 in the atlas
About UCLA_In3_UCLA_In3

UCLA_In3_UCLA_In3 is a notable Gray Wolf - distinctive within the breed.

  • Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Carries one copy of the FGF4 chondrodysplasia retrogene.
  • Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
UCLA_In3_UCLA_In3's nearest neighbors

The five dogs in the atlas whose genomes sit closest to UCLA_In3_UCLA_In3's. Click any of them to keep exploring.

  1. WOLF-India_WOLF_24892 Wolf India 1.32
  2. Wlf_LU1656_Wlf_LU1656 Gray Wolf 15.63
  3. Wlf_22800_Wlf_22800 Gray Wolf 17.57
  4. Wlf_22803_Wlf_22803 Gray Wolf 17.66
  5. Wlf_LUb3_Wlf_LUb3 Gray Wolf 17.66
UCLA_In3_UCLA_In3's breed

UCLA_In3_UCLA_In3 sits firmly in the Golden Retriever cluster.

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. Golden Retriever 100%
Source

From the CanVAS (Shannon cohort) . Breed-page reference: Gray Wolf.

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 T/T
SMAD2 A/G
LCORL G/G
STC2 C/C
ADAMTS17 G/A
Leg length
FGF4·CFA18 T/C
FGF4·CFA12 T/C
Coat
RSPO2 T/T
FGF5 C/C
KRT71 C/C
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 6.614
y 20.003
z 10.525
PCA-256 distance from breed centroid
12.94
Outlier percentile in breed
77
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which UCLA_In3_UCLA_In3 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC67 z = -10.54
  • chr20:37,137,374 loading 0.0345
  • chr37:21,909,127 loading -0.0321
  • chr23:49,705,023 loading 0.0289
PC61 z = -8.38
  • chr11:47,398,568 loading 0.0283
  • chr13:20,879,550 loading -0.0282
  • chr14:35,441,828 loading -0.0282
PC62 z = 7.43
  • chr22:2,157,682 loading 0.0652
  • chr22:2,367,358 loading 0.0634
  • chr22:2,271,992 loading 0.0625
Ancestry reconstruction error: 0.84
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