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CanVAS Shannon · Founder
Cosmic medallion portrait of Ne7_Ne7, 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.

Ne7_Ne7

Ne7_Ne7 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 Ne7_Ne7 in the atlas
About Ne7_Ne7

Ne7_Ne7 is a notable Village Dog Nepal - 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.
Ne7_Ne7's nearest neighbors

The five dogs in the atlas whose genomes sit closest to Ne7_Ne7's. Click any of them to keep exploring.

  1. Ne11_Ne11 Village Dog Nepal 20.73
  2. MN12_MN12 Village Dog Mongolia 20.85
  3. MN5_MN5 Village Dog Mongolia 20.88
  4. Ne13_Ne13 Village Dog Nepal 21.01
  5. MN2_MN2 Village Dog Mongolia 21.02
Ne7_Ne7's breed

Ne7_Ne7'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 58%
  2. Labrador Retriever 42%
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 C/C
SMAD2 G/G
LCORL G/G
STC2 C/A
ADAMTS17 A/A
Leg length
FGF4·CFA18 T/C
FGF4·CFA12 C/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 4.632
y 4.002
z 0.890
PCA-256 distance from breed centroid
15.90
Outlier percentile in breed
75
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which Ne7_Ne7 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC11 z = 2.35
  • chr6:60,987,558 loading 0.0302
  • chr18:25,790,852 loading 0.0293
  • chr14:14,074,192 loading -0.0293
PC113 z = 1.82
  • chr22:17,237,143 loading 0.0474
  • chr22:17,327,096 loading 0.0458
  • chr1:53,531,199 loading 0.0436
PC219 z = -1.77
  • chr11:18,600,601 loading 0.0312
  • chr14:14,201,384 loading 0.0302
  • chr3:6,077,116 loading -0.0298
Ancestry reconstruction error: 0.50
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