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CanVAS Momozawa · Founder
Cosmic medallion portrait of cHD9_351_cHD9_351, a Finnish Lapphund
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.

cHD9_351_cHD9_351

cHD9_351_cHD9_351 is a Finnish Lapphund from the Momozawa research cohort. One of 14,478 dogs who built the atlas.

See cHD9_351_cHD9_351 in the atlas
About cHD9_351_cHD9_351

cHD9_351_cHD9_351 sits at the edge of the Finnish Lapphund cluster but still well within it.

  • Predicted medium by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Carries one copy of the FGF4 chondrodysplasia retrogene.
  • Smooth coat. No wire-furnishings variant at RSPO2.
cHD9_351_cHD9_351's nearest neighbors

The five dogs in the atlas whose genomes sit closest to cHD9_351_cHD9_351's. Click any of them to keep exploring.

  1. cHD8_374_cHD8_374 Finnish Lapphund 17.86
  2. cHD9_338_cHD9_338 Finnish Lapphund 18.42
  3. cHD8_365_cHD8_365 Finnish Lapphund 18.52
  4. cHD8_381_cHD8_381 Finnish Lapphund 18.64
  5. cHD9_340_cHD9_340 Finnish Lapphund 18.78
cHD9_351_cHD9_351's breed

cHD9_351_cHD9_351 sits firmly in the Finnish Lapphund 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. Finnish Lapphund 100%
Source

From the CanVAS (Momozawa cohort) . Breed-page reference: Finnish Lapphund.

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/C
SMAD2 A/G
LCORL A/G
STC2 A/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 T/C
Coat
RSPO2 C/C
FGF5 C/C
KRT71 C/C
MC1R C/C
Ear set
MSRB3 A/A
Skull shape
BMP3 T/T
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 -4.357
y 13.897
z 4.822
PCA-256 distance from breed centroid
16.40
Outlier percentile in breed
65
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which cHD9_351_cHD9_351 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC72 z = 5.44
  • chr22:15,601,204 loading 0.0364
  • chr22:2,850,748 loading 0.0330
  • chr22:15,670,985 loading -0.0317
PC70 z = 5.16
  • chr13:1,243,516 loading 0.0318
  • chr13:1,443,325 loading -0.0301
  • chr18:21,034,428 loading 0.0292
PC59 z = -3.58
  • chr13:17,017,437 loading 0.0335
  • chr22:61,087,087 loading -0.0324
  • chr13:7,369,721 loading -0.0313
Ancestry reconstruction error: 0.29