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GRLS Hero · Founder
Cosmic medallion portrait of GRLS_grlsZSHTKLWW, a Golden Retriever
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.

GRLS_grlsZSHTKLWW

GRLS_grlsZSHTKLWW is a Golden Retriever from the GRLS research cohort. One of 14,478 dogs who built the atlas.

See GRLS_grlsZSHTKLWW in the atlas
About GRLS_grlsZSHTKLWW

GRLS_grlsZSHTKLWW sits near the center of the Golden Retriever cluster - genetically very typical for the breed.

  • Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Standard leg length. No chondrodysplasia retrogene variant.
  • Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
GRLS_grlsZSHTKLWW's nearest neighbors

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

  1. GRLS_grlsVCVG4GHH Golden Retriever 31.41
  2. GRLS_grlsGYD8YY55 Golden Retriever 31.84
  3. GRLS_grlsBUQ26I00 Golden Retriever 32.34
  4. GRLS_grlsMGE5UI55 Golden Retriever 32.44
  5. GRLS_grlsQ1Q3CVPP Golden Retriever 32.53
GRLS_grlsZSHTKLWW's breed

GRLS_grlsZSHTKLWW sits firmly in 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 Golden Retriever Lifetime Study . Breed-page reference: Golden Retriever.

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 A/G
LCORL G/G
STC2 A/A
ADAMTS17 G/G
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 T/T
FGF5 T/T
KRT71 C/C
MC1R C/C
Ear set
MSRB3 A/A
Skull shape
BMP3 T/T
SMOC2 A/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 8.621
y 9.941
z 8.299
PCA-256 distance from breed centroid
29.54
Outlier percentile in breed
23
lower = more typical
Top-3 principal components by |z|

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

PC82 z = -3.00
  • chr1:68,097,128 loading 0.0396
  • chr1:69,785,342 loading -0.0385
  • chr1:70,040,058 loading 0.0383
PC157 z = 2.70
  • chr10:7,000,030 loading 0.0335
  • chr10:4,826,260 loading -0.0333
  • chr23:15,561,811 loading -0.0321
PC250 z = 2.26
  • chr9:17,840,166 loading 0.0300
  • chr9:50,441,577 loading 0.0297
  • chr15:28,843,971 loading -0.0296
Ancestry reconstruction error: 0.51