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Cosmic medallion portrait of GRLS_grlsSLSG4CKK, 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_grlsSLSG4CKK

GRLS_grlsSLSG4CKK is a Golden Retriever from the GRLS research cohort. One of 14,478 dogs who built the atlas.

See GRLS_grlsSLSG4CKK in the atlas
About GRLS_grlsSLSG4CKK

GRLS_grlsSLSG4CKK sits well inside the Golden Retriever cluster - a fairly typical example.

  • Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Standard leg length. No chondrodysplasia retrogene variant.
  • Smooth coat. No wire-furnishings variant at RSPO2.
GRLS_grlsSLSG4CKK's nearest neighbors

The five dogs in the atlas whose genomes sit closest to GRLS_grlsSLSG4CKK's. Click any of them to keep exploring.

  1. GRLS_grls4ZXH6D33 Golden Retriever 26.53
  2. GRLS_grlsR7L221DD Golden Retriever 29.57
  3. PFZ7E05_PFZ7E05 Golden Retriever 31.83
  4. GRLS_grlsAG62ARQQ Golden Retriever 33.13
  5. GRLS_grlsLOQKSV Golden Retriever 34.30
GRLS_grlsSLSG4CKK's breed

GRLS_grlsSLSG4CKK 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 A/A
HMGA2 T/T
SMAD2 G/G
LCORL G/G
STC2 C/A
ADAMTS17 G/G
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 C/C
FGF5 T/C
KRT71 C/C
MC1R T/T
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 8.039
y 10.402
z 7.838
PCA-256 distance from breed centroid
33.35
Outlier percentile in breed
44
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which GRLS_grlsSLSG4CKK scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC211 z = -3.48
  • chr18:2,884,545 loading 0.0378
  • chr18:2,790,632 loading -0.0346
  • chr19:17,007,564 loading -0.0346
PC204 z = 3.40
  • chr5:63,349,947 loading 0.0351
  • chr5:63,561,040 loading 0.0350
  • chr5:3,335,614 loading -0.0334
PC237 z = -2.99
  • chr18:10,316,807 loading 0.0412
  • chr18:49,993,975 loading -0.0328
  • chr4:32,494,543 loading 0.0323
Ancestry reconstruction error: 0.58
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