Founder Effect: Breeding a Dog for the Elderly Gentleman Reveals an Animal Model of a Human Genetic Disorder
Bibliographic record
Abstract
Animal models of genetic disorders that have risen due to selective breeding can be used as a valuable model to teach the basic concepts of population genetics. The Clumber Spaniel is a breed of dog created in the mid-1700s by the 4th Duc du Noailles. He selectively bred this dog for the elderly gentleman. This sleepy-looking breed survives today, though 1% suffer from severe exercise intolerance due to an autosomal-recessive founder mutation in the pyruvate dehydrogenase phosphatase 1 (PDP1) gene. PDP1 deficiency was long suspected to be a human metabolic disorder and described at the molecular level in 2005 by Robinson and coworkers. The Robinson group later identified a founder mutation within the PDP1 gene of the Clumber spaniel. This case clearly illustrates how a detrimental mutant allele in a small population, when selecting for phenotype, can persist in the progeny of that group. In this review, we discuss the origin of the “Founder Effect” theory and present an example of how a bottleneck that occurred during the selective breeding of the Clumber spaniel over 250 years ago led to the current genetic status of the breed. Today, genotyping can help reduce the incidence of PDP1 in the Clumber breed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".