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CanVAS Spatola · Founder
Cosmic medallion portrait of GWHP_GWHP_17B10, 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.

GWHP_GWHP_17B10

GWHP_GWHP_17B10 is a German Wirehaired Pointer from the Spatola research cohort. One of 14,478 dogs who built the atlas.

See GWHP_GWHP_17B10 in the atlas
About GWHP_GWHP_17B10
  • 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.
  • Smooth coat. No wire-furnishings variant at RSPO2.
GWHP_GWHP_17B10's nearest neighbors

The five dogs in the atlas whose genomes sit closest to GWHP_GWHP_17B10's. Click any of them to keep exploring.

  1. GWHP_GWHP_16E05 German Wirehaired Pointer 17.47
  2. SLOV_SLOV_12SL Village Dog Slovakia 19.10
  3. SPIN_SPIN_16E03 Spinone Italiano 19.12
  4. SPIN_SPIN_17A07 Spinone Italiano 19.30
  5. UKRA_UKRA_DUKR23 Village Dog Ukraine 19.46
GWHP_GWHP_17B10's breed

GWHP_GWHP_17B10 sits in the Labrador Retriever 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. Labrador Retriever 62%
  2. Golden Retriever 39%
Source

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

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/A
HMGA2 T/T
SMAD2 A/A
LCORL A/G
STC2 C/A
ADAMTS17 G/G
Leg length
FGF4·CFA18 T/C
FGF4·CFA12 T/C
Coat
RSPO2 C/C
FGF5 T/C
KRT71 C/C
MC1R T/C
Ear set
MSRB3 G/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 -3.742
y 5.231
z 4.723
Top-3 principal components by |z|

The 3 PCs on which GWHP_GWHP_17B10 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC10 z = -2.19
  • chr13:43,330,325 loading 0.0255
  • chr17:50,562,684 loading 0.0245
  • chr19:34,146,978 loading 0.0244
PC0 z = -1.89
  • chr31:24,034,799 loading 0.0198
  • chr4:6,597,969 loading 0.0191
  • chr4:12,554,691 loading 0.0189
PC31 z = -1.64
  • chr4:74,176,809 loading 0.0309
  • chr3:63,796,388 loading 0.0306
  • chr7:9,211,951 loading 0.0296
Ancestry reconstruction error: 0.27
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