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CanVAS Hayward2016 · Founder
Cosmic medallion portrait of PFZ17D02_PFZ17D02, a Greater Swiss Mountain Dog
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.

PFZ17D02_PFZ17D02

PFZ17D02_PFZ17D02 is a Greater Swiss Mountain Dog from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.

See PFZ17D02_PFZ17D02 in the atlas
About PFZ17D02_PFZ17D02

PFZ17D02_PFZ17D02 sits well inside the Greater Swiss Mountain Dog cluster - a fairly typical example.

  • Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Carries both copies of the FGF4 chondrodysplasia retrogene - the short-leg variant in Dachshund, Pembroke Corgi, Basset Hound.
  • Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
PFZ17D02_PFZ17D02's breed

PFZ17D02_PFZ17D02 sits in the Bernese Mountain Dog 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. Bernese Mountain Dog 78%
  2. Golden Retriever 22%
Source

From the CanVAS (Hayward2016 cohort) . Breed-page reference: Greater Swiss Mountain Dog.

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/C
HMGA2 T/T
SMAD2 G/G
LCORL A/A
STC2 A/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 T/T
FGF4·CFA12 T/C
Coat
RSPO2 T/T
FGF5 T/C
KRT71 C/C
MC1R C/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 4.524
y -1.665
z 13.123
PCA-256 distance from breed centroid
20.03
Outlier percentile in breed
44
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which PFZ17D02_PFZ17D02 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC73 z = 12.16
  • chr7:44,608,561 loading 0.0331
  • chr11:69,439,722 loading 0.0324
  • chr1:66,792,676 loading 0.0313
PC80 z = 11.37
  • chr22:4,235,154 loading 0.0445
  • chr22:1,892,165 loading 0.0429
  • chr22:1,969,643 loading 0.0425
PC84 z = 9.39
  • chr5:75,426,581 loading 0.0352
  • chr23:35,872,989 loading -0.0350
  • chr16:38,943,549 loading -0.0346
Ancestry reconstruction error: 0.96 (high - dog sits between cluster centroids)