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CanVAS JenkinsWGS · Founder
Cosmic medallion portrait of NIT_27882_NIT_27882, a Northern Inuit
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.

NIT_27882_NIT_27882

NIT_27882_NIT_27882 is a Northern Inuit from the JenkinsWGS research cohort. One of 14,478 dogs who built the atlas.

See NIT_27882_NIT_27882 in the atlas
About NIT_27882_NIT_27882
  • Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Carries one copy of the FGF4 chondrodysplasia retrogene.
  • Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
NIT_27882_NIT_27882's nearest neighbors

The five dogs in the atlas whose genomes sit closest to NIT_27882_NIT_27882's. Click any of them to keep exploring.

  1. NIT_27524_NIT_27524 Northern Inuit 14.35
  2. PFZ10D10_PFZ10D10 German Shorthaired Pointer 27.48
  3. PFZ4B12_PFZ4B12 German Shepherd 29.84
  4. PFZ43C02_PFZ43C02 Siberian Husky 31.59
  5. PFZ34D08_PFZ34D08 Carolina Dog 32.33
NIT_27882_NIT_27882's breed

NIT_27882_NIT_27882 sits in the German Shepherd 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. German Shepherd 89%
  2. Golden Retriever 11%
Source

From the CanVAS (JenkinsWGS cohort) . Breed-page reference: Northern Inuit.

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 G/G
LCORL A/A
STC2 A/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 T/C
FGF4·CFA12 C/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 4.338
y 2.457
z 1.053
Top-3 principal components by |z|

The 3 PCs on which NIT_27882_NIT_27882 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC240 z = 2.87
  • chr16:43,515,565 loading 0.0364
  • chr12:4,421,359 loading 0.0345
  • chr12:4,288,226 loading 0.0342
PC47 z = 2.31
  • chr22:2,367,358 loading 0.0405
  • chr22:5,622,508 loading -0.0403
  • chr22:4,235,154 loading -0.0403
PC50 z = -2.07
  • chr22:2,473,315 loading 0.0334
  • chr22:1,969,643 loading -0.0326
  • chr4:32,946,669 loading -0.0320
Ancestry reconstruction error: 0.47
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