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CanVAS Hayward2016 · Founder
Cosmic medallion portrait of PFZ17B10_PFZ17B10, a German Wirehaired Pointer
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.

PFZ17B10_PFZ17B10

PFZ17B10_PFZ17B10 is a German Wirehaired Pointer from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.

See PFZ17B10_PFZ17B10 in the atlas
About PFZ17B10_PFZ17B10
  • Predicted giant 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.
PFZ17B10_PFZ17B10's breed

PFZ17B10_PFZ17B10 sits in the Vizsla cluster, with genome overlap to Dachshund, Golden Retriever, and Labrador 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. Vizsla 35%
  2. Dachshund 31%
  3. Golden Retriever 20%
  4. Labrador Retriever 14%
Source

From the CanVAS (Hayward2016 cohort) . Breed-page reference: German Wirehaired Pointer.

Full genotype detail
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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 T/T
SMAD2 A/A
LCORL A/G
STC2 C/A
ADAMTS17 A/A
Leg length
FGF4·CFA18 T/C
FGF4·CFA12 T/C
Coat
RSPO2 T/T
FGF5 T/C
KRT71 C/C
MC1R T/C
Ear set
MSRB3 G/A
Skull shape
BMP3 C/C
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 4.313
y 0.217
z 1.843
Top-3 principal components by |z|

The 3 PCs on which PFZ17B10_PFZ17B10 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC192 z = 3.43
  • chr25:28,817,053 loading 0.0428
  • chr25:4,418,784 loading 0.0393
  • chr25:26,660,651 loading 0.0386
PC109 z = 2.31
  • chr1:69,957,534 loading 0.0427
  • chr1:71,051,715 loading -0.0398
  • chr1:70,040,058 loading 0.0385
PC215 z = -2.19
  • chr19:7,211,690 loading 0.0376
  • chr19:7,271,993 loading 0.0341
  • chr27:40,183,759 loading 0.0317
Ancestry reconstruction error: 0.69