Skip to main content
snıff
CanVAS Chen · Founder
Cosmic medallion portrait of C_AGW_C_AGW1, a Anqing Wolf 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_AGW_C_AGW1

C_AGW_C_AGW1 is a Anqing Wolf Dog from the Chen research cohort. One of 14,478 dogs who built the atlas.

See C_AGW_C_AGW1 in the atlas
About C_AGW_C_AGW1
  • 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_AGW_C_AGW1's nearest neighbors

The five dogs in the atlas whose genomes sit closest to C_AGW_C_AGW1's. Click any of them to keep exploring.

  1. C_AGW_C_AGW3 Anqing Wolf Dog 8.69
  2. C_AGW_C_AGW2 Anqing Wolf Dog 8.76
  3. WOLF-Yellowstone_WOLF_24891 Wolf Yellowstone 16.67
  4. WOLF-China_WOLF_24889 Wolf China 16.73
  5. Wlf_LUb3_Wlf_LUb3 Gray Wolf 17.51
C_AGW_C_AGW1's breed

C_AGW_C_AGW1 sits in the Labrador Retriever cluster, with genome overlap to Golden 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. Labrador Retriever 62%
  2. Golden Retriever 39%
Source

From the CanVAS (Chen cohort) . Breed-page reference: Anqing Wolf 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 T/T
SMAD2 A/G
LCORL G/G
STC2 C/A
ADAMTS17 G/G
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 C/T
FGF5 C/C
KRT71 C/C
MC1R T/T
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 6.614
y 20.003
z 10.526
Top-3 principal components by |z|

The 3 PCs on which C_AGW_C_AGW1 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC67 z = -10.78
  • chr20:37,137,374 loading 0.0345
  • chr37:21,909,127 loading -0.0321
  • chr23:49,705,023 loading 0.0289
PC61 z = -7.44
  • chr11:47,398,568 loading 0.0283
  • chr13:20,879,550 loading -0.0282
  • chr14:35,441,828 loading -0.0282
PC65 z = 6.78
  • chr22:2,271,992 loading 0.0371
  • chr22:2,231,766 loading 0.0357
  • chr22:1,808,281 loading 0.0355
Ancestry reconstruction error: 0.83
Back to the Atlas →