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CanVAS Hayward2016 · Founder
Cosmic medallion portrait of QA4_QA4, a Village Dog Qatar
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.

QA4_QA4

QA4_QA4 is labelled Village Dog Qatar in the Hayward2016 cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.

See QA4_QA4 in the atlas
About QA4_QA4

QA4_QA4 sits near the center of the Village Dog Qatar cluster - genetically very typical for the breed.

  • Predicted medium 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.
QA4_QA4's nearest neighbors

The five dogs in the atlas whose genomes sit closest to QA4_QA4's. Click any of them to keep exploring.

  1. QA35_QA35 Village Dog Qatar 18.35
  2. QA18_QA18 Village Dog Qatar 18.85
  3. PFZ2H09_PFZ2H09 Village Dog Iraq 19.03
  4. PFZ2E02_PFZ2E02 Village Dog Qatar 19.43
  5. Zik_Zik Canaan Dog 19.81
QA4_QA4's breed

QA4_QA4's genome decomposes mostly into German Shepherd, with additional weight on Golden Retriever.

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. German Shepherd 74%
  2. Golden Retriever 27%
Source

From the CanVAS (Hayward2016 cohort) . Breed-page reference: Village Dog Qatar.

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 A/G
LCORL A/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 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 4.845
y 3.149
z 0.971
PCA-256 distance from breed centroid
13.26
Outlier percentile in breed
22
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which QA4_QA4 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC26 z = -2.02
  • chr6:1,658,873 loading 0.0279
  • chr6:1,741,489 loading 0.0277
  • chr27:35,211,437 loading -0.0271
PC59 z = -1.79
  • chr13:17,017,437 loading 0.0335
  • chr22:61,087,087 loading -0.0324
  • chr13:7,369,721 loading -0.0313
PC225 z = -1.75
  • chr23:37,382,588 loading 0.0307
  • chr7:21,991,064 loading -0.0305
  • chr6:50,176,215 loading 0.0304
Ancestry reconstruction error: 0.48
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