Skip to main content
snıff
GRLS Hero · Founder
Cosmic medallion portrait of GRLS_grlsTQ9VC111, 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_grlsTQ9VC111

GRLS_grlsTQ9VC111 is a Golden Retriever from the GRLS research cohort. One of 14,478 dogs who built the atlas.

See GRLS_grlsTQ9VC111 in the atlas
About GRLS_grlsTQ9VC111

GRLS_grlsTQ9VC111 is a notable Golden Retriever - distinctive within the breed.

  • Predicted small 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_grlsTQ9VC111's nearest neighbors

The five dogs in the atlas whose genomes sit closest to GRLS_grlsTQ9VC111's. Click any of them to keep exploring.

  1. GRLS_grlsJ03PL766 Golden Retriever 33.67
  2. GRLS_grls6YVS6OCC Golden Retriever 34.42
  3. GRLS_grls40Z1Q4TT Golden Retriever 35.72
  4. GRLS_grls1GO7OVJJ Golden Retriever 36.57
  5. GRLS_grlsTYFNBPP Golden Retriever 37.37
GRLS_grlsTQ9VC111's breed

GRLS_grlsTQ9VC111 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 C/C
SMAD2 G/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/C
KRT71 C/C
MC1R T/C
Ear set
MSRB3 A/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 8.410
y 9.991
z 8.917
PCA-256 distance from breed centroid
41.48
Outlier percentile in breed
82
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which GRLS_grlsTQ9VC111 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC82 z = 5.31
  • chr1:68,097,128 loading 0.0396
  • chr1:69,785,342 loading -0.0385
  • chr1:70,040,058 loading 0.0383
PC121 z = -3.48
  • chr1:99,506,167 loading 0.0408
  • chr15:22,270,589 loading -0.0399
  • chr15:22,844,988 loading -0.0387
PC93 z = -3.19
  • chr6:4,184,827 loading 0.0321
  • chr23:33,432,720 loading -0.0321
  • chr6:3,012,938 loading 0.0307
Ancestry reconstruction error: 0.62
Back to the Atlas →