Skip to main content
snıff

Great Pyrenees

Great Pyrenees genetic profile from the CanVAS Atlas. 20 dogs in the Atlas, heterozygosity 0.30. Nearest relatives, trait loci frequencies, cohort distribution.

What the atlas says about Great Pyrenees

In the atlas, the Great Pyrenees clusters consistently as Great Pyrenees (100% of the 20 dogs here). At the trait loci, MSRB3 runs lower than average (23% here vs 80%); HMGA2 runs higher than the atlas average (95% here vs 56%). Dogs here sit in a relatively sparse region of the atlas, fewer close neighbors than typical.

Only 20 dogs of this breed in the atlas, modestly sampled.

Closest genetic neighbors in the atlas: village dog Portugal, Keeshond, Portuguese Water Dog, Basset Hound, and village dog Peru Cusco.

Genetic dimensions · CanVAS atlas

What the genome says about Great Pyrenees

Computed from the 14,478 research dogs in the Atlas. Methods: technical methodology.

Dogs in the Atlas
20Founders
10 from Spatola, 10 from Hayward2016
Genetic diversity
0.30Moderate
Mean heterozygosity across the breed. Ranks 40th most genetically tight of 107 ranked breeds.
Cluster structure
Single tight cluster
Intra-breed RMS distance: 24.82
Nearest genetic relatives
  1. Village Dog Portugal5.08
  2. Keeshond5.50
  3. Portuguese Water Dog5.87
  4. Basset Hound5.89
  5. Village Dog Peru Cusco6.07
Top-10 PC corrected Euclidean. Lower = closer.
Trait genetics
Allele frequencies at named morphology loci

Frequency of the alternate allele in this breed at each locus's representative SNP. Methods + caveats in technical methodology.

Body size
IGF121%
HMGA295%
SMAD2100%
LCORL100%
STC240%
ADAMTS1757%
Leg length
FGF4·CFA1893%
FGF4·CFA1265%
Coat
RSPO223%
FGF5100%
KRT71100%
MC1R98%
Ear set
MSRB323%
Skull shape
BMP350%
SMOC273%
Add your Great Pyrenees to the Atlas

You can add your Great Pyrenees right now at /add/ as a Charted star. Or, if you'd rather wait for DNA uploads, leave your email and we'll let you know the moment those open.

Last updated
Sources: CanVAS (Brundage 2026) · CanVAS dimensions data