Skip to main content
snıff
CanVAS Chen · Founder
Cosmic medallion portrait of W_Pap_W_Pap1, a Papillon
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.

W_Pap_W_Pap1

W_Pap_W_Pap1 is a Papillon from the Chen research cohort. One of 14,478 dogs who built the atlas.

See W_Pap_W_Pap1 in the atlas
About W_Pap_W_Pap1

W_Pap_W_Pap1 is a strong genetic outlier within the Papillon cluster - among the most distinctive examples of their breed.

  • Predicted medium by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Carries both copies of the FGF4 chondrodysplasia retrogene - the short-leg variant in Dachshund, Pembroke Corgi, Basset Hound.
  • Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
W_Pap_W_Pap1's nearest neighbors

The five dogs in the atlas whose genomes sit closest to W_Pap_W_Pap1's. Click any of them to keep exploring.

  1. W_Pap_W_Pap2 Papillon 13.94
  2. W_Pap_W_Pap3 Papillon 21.16
  3. C_Pkg_C_Pkg2 Pekingese 22.95
  4. C_Pkg_C_Pkg3 Pekingese 23.30
  5. PFZ2A08_PFZ2A08 Village Dog Peru Loreto 26.10
W_Pap_W_Pap1's breed

W_Pap_W_Pap1 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 (Chen cohort) . Breed-page reference: Papillon.

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 A/G
LCORL G/G
STC2 A/A
ADAMTS17 A/A
Leg length
FGF4·CFA18 T/T
FGF4·CFA12 T/C
Coat
RSPO2 T/T
FGF5 T/C
KRT71 C/C
MC1R C/C
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 4.710
y 2.379
z 2.370
PCA-256 distance from breed centroid
46.80
Outlier percentile in breed
91
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which W_Pap_W_Pap1 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC163 z = -1.90
  • chr34:1,919,265 loading 0.0369
  • chr34:2,440,834 loading -0.0368
  • chr34:1,346,136 loading 0.0366
PC60 z = 1.89
  • chr2:79,935,004 loading 0.0311
  • chr4:63,750,215 loading -0.0309
  • chr11:23,826,298 loading 0.0301
PC37 z = -1.81
  • chr30:33,900,950 loading 0.0365
  • chr1:31,256,526 loading 0.0299
  • chr28:38,109,009 loading 0.0284
Ancestry reconstruction error: 0.50