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CanVAS Shannon · Founder
Cosmic medallion portrait of Ne2_Ne2, a Village Dog Nepal
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.

Ne2_Ne2

Ne2_Ne2 is labelled Village Dog Nepal in the Shannon cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.

See Ne2_Ne2 in the atlas
About Ne2_Ne2

Ne2_Ne2 sits at the edge of the Village Dog Nepal cluster but still well within it.

  • Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Carries one copy of the FGF4 chondrodysplasia retrogene.
  • Smooth coat. No wire-furnishings variant at RSPO2.
Ne2_Ne2's nearest neighbors

The five dogs in the atlas whose genomes sit closest to Ne2_Ne2's. Click any of them to keep exploring.

  1. Ne4_Ne4 Village Dog Nepal 16.81
  2. Ne1_Ne1 Village Dog Nepal 16.85
  3. Ne3_Ne3 Village Dog Nepal 17.63
  4. Ne9_Ne9 Village Dog Nepal 17.74
  5. PFZ17D07_PFZ17D07 Tibetan Mastiff 18.86
Ne2_Ne2's breed

Ne2_Ne2's genome decomposes mostly into Golden Retriever, with additional weight on Labrador 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. Golden Retriever 56%
  2. Labrador Retriever 44%
Source

From the CanVAS (Shannon cohort) . Breed-page reference: Village Dog Nepal.

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/A
HMGA2 T/T
SMAD2 A/G
LCORL G/G
STC2 C/A
ADAMTS17 A/A
Leg length
FGF4·CFA18 T/C
FGF4·CFA12 C/C
Coat
RSPO2 C/C
FGF5 C/C
KRT71 C/C
MC1R T/C
Ear set
MSRB3 G/A
Skull shape
BMP3 T/T
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 4.381
y 4.465
z 0.827
PCA-256 distance from breed centroid
14.03
Outlier percentile in breed
50
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which Ne2_Ne2 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC11 z = 3.30
  • chr6:60,987,558 loading 0.0302
  • chr18:25,790,852 loading 0.0293
  • chr14:14,074,192 loading -0.0293
PC124 z = 2.71
  • chr15:20,177,951 loading 0.0387
  • chr13:4,444,829 loading 0.0366
  • chr15:20,737,839 loading -0.0362
PC119 z = -2.09
  • chr24:2,576,794 loading 0.0370
  • chr6:3,625,190 loading 0.0350
  • chr6:3,210,008 loading -0.0323
Ancestry reconstruction error: 0.41
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