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CanVAS Shannon · Founder
Cosmic medallion portrait of Ne10_Ne10, 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.

Ne10_Ne10

Ne10_Ne10 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 Ne10_Ne10 in the atlas
About Ne10_Ne10

Ne10_Ne10 sits at the edge of the Village Dog Nepal cluster but still well within it.

  • 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.
  • Carrier of the RSPO2 wire-coat variant (single copy).
Ne10_Ne10's nearest neighbors

The five dogs in the atlas whose genomes sit closest to Ne10_Ne10's. Click any of them to keep exploring.

  1. Ne13_Ne13 Village Dog Nepal 17.82
  2. Ne12_Ne12 Village Dog Nepal 18.56
  3. PFZ15G03_PFZ15G03 Mix 19.67
  4. Ne4_Ne4 Village Dog Nepal 19.83
  5. Ne1_Ne1 Village Dog Nepal 21.01
Ne10_Ne10's breed

Ne10_Ne10'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 60%
  2. Labrador Retriever 40%
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 A/A
LCORL A/G
STC2 A/A
ADAMTS17 A/A
Leg length
FGF4·CFA18 T/C
FGF4·CFA12 C/C
Coat
RSPO2 C/T
FGF5 C/C
KRT71 C/C
MC1R T/C
Ear set
MSRB3 G/A
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 4.695
y 4.218
z 0.729
PCA-256 distance from breed centroid
14.06
Outlier percentile in breed
58
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which Ne10_Ne10 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC11 z = 2.72
  • chr6:60,987,558 loading 0.0302
  • chr18:25,790,852 loading 0.0293
  • chr14:14,074,192 loading -0.0293
PC215 z = 2.06
  • chr19:7,211,690 loading 0.0376
  • chr19:7,271,993 loading 0.0341
  • chr27:40,183,759 loading 0.0317
PC164 z = -1.84
  • chr19:16,549,845 loading 0.0354
  • chr28:2,607,542 loading -0.0326
  • chr28:1,724,663 loading 0.0325
Ancestry reconstruction error: 0.49
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