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CanVAS Chen · Founder
Cosmic medallion portrait of C_MGX_C_MGX7, a Mongolian Dog
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.

C_MGX_C_MGX7

C_MGX_C_MGX7 is a Mongolian Dog from the Chen research cohort. One of 14,478 dogs who built the atlas.

See C_MGX_C_MGX7 in the atlas
About C_MGX_C_MGX7

C_MGX_C_MGX7 sits well inside the Mongolian Dog cluster - a fairly typical example.

  • Predicted medium by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Standard leg length. No chondrodysplasia retrogene variant.
  • Carrier of the RSPO2 wire-coat variant (single copy).
C_MGX_C_MGX7's nearest neighbors

The five dogs in the atlas whose genomes sit closest to C_MGX_C_MGX7's. Click any of them to keep exploring.

  1. C_MGX_C_MGX5 Mongolian Dog 15.11
  2. C_MGX_C_MGX3 Mongolian Dog 19.09
  3. MN12_MN12 Village Dog Mongolia 20.08
  4. C_MGX_C_MGX2 Mongolian Dog 20.27
  5. C_TMf_C_TMf14 Tibetan Mastiff 20.44
C_MGX_C_MGX7's breed

C_MGX_C_MGX7 sits in the Golden Retriever cluster, with genome overlap to Labrador Retriever - sister breeds nearby in the atlas.

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 57%
  2. Labrador Retriever 43%
Source

From the CanVAS (Chen cohort) . Breed-page reference: Mongolian Dog.

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/T
SMAD2 G/G
LCORL G/G
STC2 A/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/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/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 4.383
y 4.350
z 0.920
PCA-256 distance from breed centroid
15.43
Outlier percentile in breed
25
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which C_MGX_C_MGX7 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC11 z = 3.08
  • chr6:60,987,558 loading 0.0302
  • chr18:25,790,852 loading 0.0293
  • chr14:14,074,192 loading -0.0293
PC255 z = -1.89
  • chr23:37,041,440 loading 0.0347
  • chr1:100,944,840 loading 0.0344
  • chr1:101,382,836 loading -0.0320
PC163 z = 1.67
  • chr34:1,919,265 loading 0.0369
  • chr34:2,440,834 loading -0.0368
  • chr34:1,346,136 loading 0.0366
Ancestry reconstruction error: 0.47
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