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CanVAS JenkinsWGS · Founder
Cosmic medallion portrait of CH_32170_CH_32170, a Chow Chow
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.

CH_32170_CH_32170

CH_32170_CH_32170 is a Chow Chow from the JenkinsWGS research cohort. One of 14,478 dogs who built the atlas.

See CH_32170_CH_32170 in the atlas
About CH_32170_CH_32170

CH_32170_CH_32170 is a strong genetic outlier within the Chow Chow cluster - among the most distinctive examples of their breed.

  • Predicted small 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.
CH_32170_CH_32170's nearest neighbors

The five dogs in the atlas whose genomes sit closest to CH_32170_CH_32170's. Click any of them to keep exploring.

  1. PFZ42E09_PFZ42E09 Chow Chow 15.70
  2. PFZ13D12_PFZ13D12 Chow Chow 15.99
  3. PFZ42D09_PFZ42D09 Chow Chow 16.22
  4. PFZ15D07_PFZ15D07 Chow Chow 16.90
  5. PFZ15F06_PFZ15F06 Chow Chow 17.92
CH_32170_CH_32170's breed

CH_32170_CH_32170 sits firmly in 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 (JenkinsWGS cohort) . Breed-page reference: Chow Chow.

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 A/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 T/T
FGF5 T/T
KRT71 C/C
MC1R C/C
Ear set
MSRB3 A/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 8.854
y 6.440
z -0.791
PCA-256 distance from breed centroid
29.73
Outlier percentile in breed
94
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which CH_32170_CH_32170 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC11 z = 4.37
  • chr6:60,987,558 loading 0.0302
  • chr18:25,790,852 loading 0.0293
  • chr14:14,074,192 loading -0.0293
PC132 z = 3.26
  • chr3:4,746,866 loading 0.0453
  • chr3:4,905,795 loading 0.0406
  • chr13:12,284,714 loading 0.0392
PC26 z = 3.14
  • chr6:1,658,873 loading 0.0279
  • chr6:1,741,489 loading 0.0277
  • chr27:35,211,437 loading -0.0271
Ancestry reconstruction error: 0.49