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CanVAS Spatola · Founder
Cosmic medallion portrait of GSNZ_GSNZ_16154, a Village Dog Nz North
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.

GSNZ_GSNZ_16154

GSNZ_GSNZ_16154 is labelled Village Dog Nz North in the Spatola cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.

See GSNZ_GSNZ_16154 in the atlas
About GSNZ_GSNZ_16154

GSNZ_GSNZ_16154 is a notable Village Dog Nz North - distinctive within the breed.

  • Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Carries one copy of the FGF4 chondrodysplasia retrogene.
  • Carrier of the RSPO2 wire-coat variant (single copy).
GSNZ_GSNZ_16154's breed

GSNZ_GSNZ_16154's genome decomposes mostly into Giant Schnauzer, with additional weight on Labrador Retriever, and Golden Retriever.

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. Giant Schnauzer 69%
  2. Labrador Retriever 18%
  3. Golden Retriever 13%
Source

From the CanVAS (Spatola cohort) . Breed-page reference: Village Dog Nz North.

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/A
HMGA2 C/T
SMAD2 G/G
LCORL A/A
STC2 C/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 T/C
FGF4·CFA12 C/C
Coat
RSPO2 C/T
FGF5 T/C
KRT71 T/C
MC1R C/C
Ear set
MSRB3
Skull shape
BMP3
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 0.060
y 0.888
z 3.735
PCA-256 distance from breed centroid
13.66
Outlier percentile in breed
80
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which GSNZ_GSNZ_16154 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC24 z = -2.88
  • chr14:38,750,828 loading 0.0251
  • chr13:12,818,239 loading 0.0246
  • chr14:35,144,168 loading 0.0243
PC23 z = 2.64
  • chr35:14,154,465 loading 0.0292
  • chr12:39,598,521 loading 0.0284
  • chr13:8,570,429 loading -0.0283
PC252 z = 1.69
  • chr19:30,132,204 loading 0.0320
  • chr25:21,796,415 loading -0.0316
  • chr3:5,565,848 loading 0.0303
Ancestry reconstruction error: 0.37