Genetic Polymorphisms in the Renin‐Angiotensin System in High‐Altitude and Low‐Altitude Native American Populations
Bibliographic record
Abstract
Cardiovascular disease (CVD) is reportedly less common in high-altitude native populations than in lowlanders. To some extent, this is due to cultural and demographic factors; however, increased cardiovascular efficiency contributing to hypoxia adaptation may also be involved. Numerous genetic variants have been associated with cardiovascular health. If the decreased incidence of CVD in modern high-altitude populations reflects selective pressures having favoured the transmission of these alleles in their antecedents, it would be expected that these alleles would be more common in highlanders than in lowlanders. We tested this hypothesis by determining the allele frequencies of five polymorphic loci in genes encoding components of the renin-angiotensin system (RAS) that have alleles associated with hypertension and cardiovascular disease in a high-altitude native Andean population, Quechua from the Peruvian altiplano, and in a lowland Amerindian population, Maya from the Yucatan peninsula. The polymorphisms examined were 1) the insertion/deletion polymorphism in intron 16 of the angiotensin converting enzyme (ACE) gene; 2) the A/G2350 transition (ACE-8) in intron 17 of the ACE gene; 3) the A/C1166 transversion in the 3' untranslated region of the angiotensin II receptor (type 1) gene (AGTR1); 4) the G/AI9-83 transition in intron 8 of the renin gene (REN); and 5) the T/C704 (Met235Thr) transition mutation in angiotensinogen (AGT). There was no evidence for an over-representation of the RAS alleles associated with cardiovascular fitness in the high-altitude Amerindian population when compared to the lowland Amerindian population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".