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CanVAS Spatola · Founder
Cosmic medallion portrait of CHINA_CHINA_5CH, a Village Dog China
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.

CHINA_CHINA_5CH

CHINA_CHINA_5CH is labelled Village Dog China in the Spatola cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.

See CHINA_CHINA_5CH in the atlas
About CHINA_CHINA_5CH

CHINA_CHINA_5CH is a notable Village Dog China - 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.
  • Carrier of the RSPO2 wire-coat variant (single copy).
CHINA_CHINA_5CH's nearest neighbors

The five dogs in the atlas whose genomes sit closest to CHINA_CHINA_5CH's. Click any of them to keep exploring.

  1. CHINA_CHINA_7CH Village Dog China 17.27
  2. CHINA_CHINA_10CH Village Dog China 18.15
  3. THAI_THAI_6TAJ Thai Ridgeback 18.71
  4. CHINA_CHINA_9CH Village Dog China 18.74
  5. MON_MON_6MG Village Dog Mongolia 18.96
CHINA_CHINA_5CH's breed

CHINA_CHINA_5CH 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 (Spatola cohort) . Breed-page reference: Village Dog China.

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/C
HMGA2 C/C
SMAD2 A/G
LCORL G/G
STC2 C/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 T/C
Coat
RSPO2 C/T
FGF5 C/C
KRT71 C/C
MC1R C/C
Ear set
MSRB3 A/A
Skull shape
BMP3 C/C
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 -3.873
y 6.474
z 5.410
PCA-256 distance from breed centroid
13.44
Outlier percentile in breed
78
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which CHINA_CHINA_5CH scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC46 z = 5.61
  • chr22:1,996,400 loading 0.0303
  • chr22:2,231,766 loading 0.0280
  • chr22:3,165,486 loading 0.0275
PC10 z = -2.61
  • chr13:43,330,325 loading 0.0255
  • chr17:50,562,684 loading 0.0245
  • chr19:34,146,978 loading 0.0244
PC50 z = 2.30
  • chr22:2,473,315 loading 0.0334
  • chr22:1,969,643 loading -0.0326
  • chr4:32,946,669 loading -0.0320
Ancestry reconstruction error: 0.24
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