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CanVAS Momozawa · Founder
Cosmic medallion portrait of cHD9_357_cHD9_357, 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_357_cHD9_357

cHD9_357_cHD9_357 is a Finnish Lapphund from the Momozawa research cohort. One of 14,478 dogs who built the atlas.

See cHD9_357_cHD9_357 in the atlas
About cHD9_357_cHD9_357

cHD9_357_cHD9_357 is a notable Finnish Lapphund - distinctive within the breed.

  • Predicted small by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Standard leg length. No chondrodysplasia retrogene variant.
  • Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
cHD9_357_cHD9_357's nearest neighbors

The five dogs in the atlas whose genomes sit closest to cHD9_357_cHD9_357's. Click any of them to keep exploring.

  1. cHD8_377_cHD8_377 Finnish Lapphund 17.50
  2. cHD8_373_cHD8_373 Finnish Lapphund 17.85
  3. cHD8_366_cHD8_366 Finnish Lapphund 17.95
  4. cHD8_379_cHD8_379 Finnish Lapphund 18.04
  5. cHD9_344_cHD9_344 Finnish Lapphund 18.14
cHD9_357_cHD9_357's breed

cHD9_357_cHD9_357 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 A/A
HMGA2 C/C
SMAD2 G/G
LCORL G/G
STC2 A/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 T/T
FGF5 C/C
KRT71 C/C
MC1R T/C
Ear set
MSRB3 A/A
Skull shape
BMP3 C/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 -4.166
y 14.086
z 5.007
PCA-256 distance from breed centroid
17.21
Outlier percentile in breed
75
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which cHD9_357_cHD9_357 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC70 z = 6.57
  • chr13:1,243,516 loading 0.0318
  • chr13:1,443,325 loading -0.0301
  • chr18:21,034,428 loading 0.0292
PC72 z = 6.40
  • chr22:15,601,204 loading 0.0364
  • chr22:2,850,748 loading 0.0330
  • chr22:15,670,985 loading -0.0317
PC59 z = -4.49
  • chr13:17,017,437 loading 0.0335
  • chr22:61,087,087 loading -0.0324
  • chr13:7,369,721 loading -0.0313
Ancestry reconstruction error: 0.28
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