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CanVAS Spatola · Founder
Cosmic medallion portrait of CHIN_CHIN_14F01, a Japanese Chin
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.

CHIN_CHIN_14F01

CHIN_CHIN_14F01 is a Japanese Chin from the Spatola research cohort. One of 14,478 dogs who built the atlas.

See CHIN_CHIN_14F01 in the atlas
About CHIN_CHIN_14F01

CHIN_CHIN_14F01 sits at the edge of the Japanese Chin cluster but still well within it.

  • 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.
  • Smooth coat. No wire-furnishings variant at RSPO2.
CHIN_CHIN_14F01's nearest neighbors

The five dogs in the atlas whose genomes sit closest to CHIN_CHIN_14F01's. Click any of them to keep exploring.

  1. CHIN_CHIN_14F02 Japanese Chin 13.74
  2. CHIN_CHIN_14F04 Japanese Chin 14.31
  3. CHIN_CHIN_14B01 Japanese Chin 14.54
  4. UKRA_UKRA_DUKR46 Village Dog Ukraine 54.65
  5. LHSA_LHSA_14D11 Lhasa Apso 56.77
CHIN_CHIN_14F01's breed

CHIN_CHIN_14F01 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 57%
  2. Golden Retriever 43%
Source

From the CanVAS (Spatola cohort) . Breed-page reference: Japanese Chin.

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/A
LCORL G/G
STC2 C/C
ADAMTS17 G/G
Leg length
FGF4·CFA18 T/T
FGF4·CFA12 C/C
Coat
RSPO2 C/C
FGF5 C/C
KRT71 C/C
MC1R C/C
Ear set
MSRB3 A/A
Skull shape
BMP3 C/C
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 -3.639
y 6.183
z 4.524
PCA-256 distance from breed centroid
40.98
Outlier percentile in breed
50
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which CHIN_CHIN_14F01 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC206 z = 12.06
  • chr7:42,935,741 loading 0.0386
  • chr19:34,609,563 loading -0.0356
  • chr30:22,656,587 loading 0.0321
PC198 z = -7.16
  • chr2:48,735,597 loading 0.0380
  • chr23:1,924,139 loading -0.0317
  • chr23:1,615,600 loading -0.0317
PC250 z = 6.90
  • chr9:17,840,166 loading 0.0300
  • chr9:50,441,577 loading 0.0297
  • chr15:28,843,971 loading -0.0296
Ancestry reconstruction error: 0.65
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