Retriever Breed Unknown
9 Retriever Breed Unknowns in the atlas. Every number on this page has a source.
9 Retriever Breed Unknowns in the Sniff Atlas. Population-genetic snapshot, Mendelian carrier frequencies from Donner 2023, and the data substrate's release version, sample sizes, and evidence tier on every claim.
In the atlas, the Retriever Breed Unknown clusters consistently as Retriever Breed Unknown (100% of the 9 dogs here). Genetic diversity is high (mean heterozygosity 0.3412), reflecting either a mixed-breed cluster or breeds with broad genetic backgrounds. At the trait loci, STC2 runs lower than average (0% here vs 74%); SMAD2 runs lower than average (11% here vs 74%).
Mean heterozygosity is 0.341, notably high, indicates broad genetic background. High breed predictability score (2.10), individual dogs of this breed reliably cluster together genetically. Only 9 dogs of this breed in the atlas, every individual contributes outsized weight to the breed's computed profile.
Closest genetic neighbors in the atlas: Norwegian Elkhound, village dog Slovakia, village dog Ukraine, village dog Kazakhstan, and Polish Lowland Sheepdog.
What the genome says about Retriever Breed Unknown
Computed from the 18,477 research dogs in the Atlas.
- Norwegian Elkhound2.95
- Village Dog Slovakia3.26
- Village Dog Ukraine4.29
- Village Dog Kazakhstan4.29
- Polish Lowland Sheepdog4.50
Frequency of the alternate allele in this breed at each locus's representative SNP.
| IGF1 | 0% |
| HMGA2 | 6% |
| SMAD2 | 11% |
| LCORL | 100% |
| STC2 | 0% |
| ADAMTS17 | 28% |
| FGF4·CFA18 | 17% |
| FGF4·CFA12 | 56% |
| RSPO2 | 6% |
| FGF5 | 94% |
| KRT71 | 100% |
| MC1R | 89% |
| MSRB3 | 61% |
| BMP3 | 56% |
| SMOC2 | 56% |
What does the genome say about how a Retriever Breed Unknown looks?
Retriever Breed Unknowns look the way they do because of a small set of fixed and near-fixed morphology genes that, taken together, define the visible breed. Each translation below pairs the gene with the trait an owner actually sees, the breed's allele frequency at that locus, and a one-clause causal phrase.
Size and build
IGF1 is at 0% for the small-body allele, leaving the breed firmly in the larger end of the dog body-size spectrum.
HMGA2 is at 6%, leaving most of the size signal to other loci in the panel.
SMAD2 is at 11%, leaving the height signal mostly to other size genes.
LCORL is near-fixed at 100%, the NCAPG/LCORL height locus that is one of the strongest single contributors to canine body size.
STC2 is at 0%, leaving the growth-axis signal to other loci.
ADAMTS17 is at 28%, the lower-frequency allele in this breed.
Leg length
The FGF4 retrogene on chromosome 18 is at 17%, the chromosome-18 leg-length variant, which keeps the breed short-legged like Corgis and Dachshunds.
The FGF4 retrogene on chromosome 12 sits at 56%, the chondrodystrophic variant.
Coat type, length, and color
RSPO2 is at 6% for the furnishings allele. The breed does not carry the eyebrows-and-mustache pattern of Wheatens, Schnauzers, or wire-haired terriers.
FGF5 is at 94% for the long-coat variant, which is why the breed's coat sits where it does on the long end of the dog coat-length spectrum.
KRT71 is near-fixed at 100% for the wavy/curly variant. Coat curl phenotype varies across breeds at this fixation depending on modifier loci, and visible expression is not always curled even when the locus is fixed.
MC1R is at 89% at the representative SNP. MC1R controls the switch between red-to-gold and black-to-brown pigment, with the e/e homozygous genotype producing the gold-to-red spectrum by blocking eumelanin (black and brown pigment).
Ears
MSRB3 sits at 61% for the drop-ear allele, which is why ear set varies across the breed.
Skull shape
BMP3 sits at 56%, contributing to the breed's moderate, mesaticephalic head shape rather than the extreme brachycephalic form.
SMOC2 sits at 56%, contributing to the breed's moderate head shape.
Where every number on this page came from.
This page draws on three primary data sources. Carrier frequencies for the Mendelian section come from Donner et al. 2023 (CC-BY-4.0). We grade these data at evidence Limited because the cohort is a direct-to-consumer ascertainment, which biases toward owners who chose to test their dogs. The panel also uses tag-SNP proxies for some variants rather than direct causal-variant assays. Limited is a study-design grade, not a quality grade: the Donner cohort is the largest open canine-genotype dataset in existence and we are grateful for it. We rate the confounding MEDIUM.
Population-genetic dimensions (heterozygosity, intra-breed PCA distance, nearest neighbors, trait-locus frequencies) come from CanVAS (Brundage 2026), harmonized through the Sniff Atlas. The exact release date and verification commit are pinned at the bottom of the page so a researcher can trace a number back to a specific snapshot. The disease-gene-variant graph comes from OMIA (Online Mendelian Inheritance in Animals; Nicholas, Tammen, and the Sydney Informatics Hub at the Sydney School of Veterinary Science, The University of Sydney; retrieved April 2026, DOI 10.25910/2AMR-PV70).
What this page does not yet have. Inheritance modes and per-disease penetrance evidence from Donner 2023 are now in the structured data for every variant the panel covers. Mondo, OMIM, Ensembl, and HGNC cross-references on gene pages remain pending — they arrive in December 2026 alongside the imputed 9.67M-variant CanVAS dataset via the OMIA SQL dump absorption. Until then, gene IDs carry NCBI Gene and OMIA phene URLs only; the wider human-homolog and disease-ontology cross-reference set fills in with that release.
How to cite this page. The computed dimensions on this page are derived from the open Sniff Atlas v1.0.1 (Gehring 2026, doi:10.5281/zenodo.20566358, CC-BY 4.0). Full citation formats including BibTeX, RIS, and CITATION.cff at sniff.world/cite.
We have 9 retriever breed unknowns. We do not have yours.
Every retriever breed unknown added sharpens the breed's genetic neighborhood. Enrollment is free. The data stays open. The star is permanent.
- Donner J, Anderson H, Davison S, et al. (2023). Frequency and distribution of 152 genetic disease variants in over 1,000,000 mixed-breed and purebred dogs. PLOS Genetics 19(2):e1010651. doi:10.1371/journal.pgen.1010651
- Brundage J, et al. (2026). CanVAS: a harmonized canine variant atlas. bioRxiv. doi:10.64898/2026.04.13.718238
- Nicholas, F.W., Tammen, I., & Sydney Informatics Hub. (2026). Online Mendelian Inheritance in Animals (OMIA) [dataset]. The University of Sydney. https://omia.org. doi:10.25910/2AMR-PV70 (retrieved April 2026).