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CanVAS Shannon · Founder
Cosmic medallion portrait of FJ35_FJ35, a Village Dog Fiji Viti Levu
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.

FJ35_FJ35

FJ35_FJ35 is labelled Village Dog Fiji Viti Levu in the Shannon cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.

See FJ35_FJ35 in the atlas
About FJ35_FJ35

FJ35_FJ35 sits well inside the Village Dog Fiji Viti Levu cluster - a fairly typical example.

  • Predicted small 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.
FJ35_FJ35's nearest neighbors

The five dogs in the atlas whose genomes sit closest to FJ35_FJ35's. Click any of them to keep exploring.

  1. FJ58_FJ58 Village Dog Fiji Viti Levu 18.98
  2. FJ46_FJ46 Village Dog Fiji Viti Levu 19.40
  3. FJ53_FJ53 Village Dog Fiji Viti Levu 19.64
  4. FJ43_FJ43 Village Dog Fiji Viti Levu 19.80
  5. FJ17_FJ17 Village Dog Fiji Viti Levu 19.80
FJ35_FJ35's breed

FJ35_FJ35 pulls strongly toward the Golden Retriever 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. Golden Retriever 100%
Source

From the CanVAS (Shannon cohort) . Breed-page reference: Village Dog Fiji Viti Levu.

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 A/G
LCORL G/G
STC2 A/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 T/C
FGF4·CFA12 C/C
Coat
RSPO2 T/T
FGF5 T/C
KRT71 T/C
MC1R T/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 3.797
y 1.326
z 2.149
PCA-256 distance from breed centroid
13.80
Outlier percentile in breed
33
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which FJ35_FJ35 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC215 z = -2.00
  • chr19:7,211,690 loading 0.0376
  • chr19:7,271,993 loading 0.0341
  • chr27:40,183,759 loading 0.0317
PC196 z = 1.52
  • chr23:3,426,742 loading 0.0355
  • chr23:3,756,166 loading 0.0335
  • chr4:38,305,840 loading 0.0333
PC212 z = 1.51
  • chr28:326,614 loading 0.0378
  • chr2:50,919,591 loading 0.0372
  • chr28:1,791,942 loading -0.0335
Ancestry reconstruction error: 0.65
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