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CanVAS Shannon · Founder
Cosmic medallion portrait of Ne4_Ne4, 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.

Ne4_Ne4

Ne4_Ne4 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 Ne4_Ne4 in the atlas
About Ne4_Ne4

Ne4_Ne4 sits near the center of the Village Dog Nepal cluster - genetically very typical for the breed.

  • Predicted large 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.
Ne4_Ne4's nearest neighbors

The five dogs in the atlas whose genomes sit closest to Ne4_Ne4's. Click any of them to keep exploring.

  1. Ne1_Ne1 Village Dog Nepal 16.28
  2. Ne2_Ne2 Village Dog Nepal 16.81
  3. Ne9_Ne9 Village Dog Nepal 17.52
  4. PFZ15G03_PFZ15G03 Mix 18.14
  5. Ne3_Ne3 Village Dog Nepal 18.19
Ne4_Ne4's breed

Ne4_Ne4 pulls strongly toward 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: 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 A/A
HMGA2 T/T
SMAD2 G/G
LCORL G/G
STC2 C/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 T/T
FGF5 T/C
KRT71 C/C
MC1R C/C
Ear set
MSRB3 G/G
Skull shape
BMP3 T/T
SMOC2 A/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 4.425
y 4.449
z 0.783
PCA-256 distance from breed centroid
11.96
Outlier percentile in breed
0
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which Ne4_Ne4 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC11 z = 3.11
  • chr6:60,987,558 loading 0.0302
  • chr18:25,790,852 loading 0.0293
  • chr14:14,074,192 loading -0.0293
PC113 z = 1.80
  • chr22:17,237,143 loading 0.0474
  • chr22:17,327,096 loading 0.0458
  • chr1:53,531,199 loading 0.0436
PC143 z = 1.78
  • chr19:5,388,895 loading 0.0376
  • chr3:44,551,375 loading -0.0365
  • chr19:3,007,160 loading 0.0337
Ancestry reconstruction error: 0.43