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Cosmic medallion portrait of GRLS_grlsOPAIDMM, 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_grlsOPAIDMM

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

See GRLS_grlsOPAIDMM in the atlas
About GRLS_grlsOPAIDMM

GRLS_grlsOPAIDMM 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.
  • Carrier of the RSPO2 wire-coat variant (single copy).
GRLS_grlsOPAIDMM's nearest neighbors

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

  1. GRLS_grls49XJC355 Golden Retriever 32.57
  2. GRLS_grlsXH1O4977 Golden Retriever 32.62
  3. GRLS_grlsUUTUSYGG Golden Retriever 32.86
  4. GRLS_grls1G2OMPTT Golden Retriever 33.22
  5. Oldies_grlsc8a44574 Golden Retriever 35.47
GRLS_grlsOPAIDMM's breed

GRLS_grlsOPAIDMM sits in the Golden Retriever cluster, with genome overlap to 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. Golden Retriever 76%
  2. Labrador Retriever 24%
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/A
HMGA2 T/T
SMAD2 A/G
LCORL G/G
STC2 A/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 C/T
FGF5 C/C
KRT71 C/C
MC1R T/T
Ear set
MSRB3 A/A
Skull shape
BMP3 C/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 8.508
y 10.158
z 8.762
PCA-256 distance from breed centroid
31.76
Outlier percentile in breed
36
lower = more typical
Top-3 principal components by |z|

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

PC228 z = 3.20
  • chr25:25,192,682 loading 0.0383
  • chr24:37,936,747 loading 0.0329
  • chr25:20,642,955 loading -0.0315
PC146 z = -2.77
  • chr2:41,835,446 loading 0.0357
  • chr2:40,086,289 loading 0.0341
  • chr22:28,657,814 loading -0.0335
PC114 z = 2.63
  • chr4:80,039,364 loading 0.0307
  • chr8:13,133,148 loading -0.0301
  • chr31:11,367,367 loading 0.0289
Ancestry reconstruction error: 0.54
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