Ethnic Differences in the Frequency of the Cardioprotective C679X PCSK9 Mutation in a West African Population
Bibliographic record
Abstract
PCSK9 is a liver-secreted blood protein that promotes the degradation of low-density lipoprotein receptors, leading to reduced hepatic uptake of plasma cholesterol. Nucleotide variations in its gene have been linked to hypo- and hyper-cholesterolemia. Two nonsense mutations, Y142X and C679X, are associated to lifelong hypocholesterolemia and a remarkable protection against coronary heart disease (CHD) in African Americans. The aim of this study was to determine the frequency of these cardioprotective mutations in West Africans. Subjects (n = 520) from different ethnic groups were recruited in Burkina-Faso, Benin, and Togo. Only the C679X mutation was detected. All carriers were heterozygous. The overall heterozygosity frequency was 3.3%. It varied significantly among ethnic groups, ranging from 0% to 6.9%. The overall high frequency of the cardioprotective C679X mutation in Africa may contribute to the lower incidence of CHD on this continent. The interethnic frequency differences may reflect historical settlement and migration patterns in the region, possibly combined with positive selection for the mutation driven by yet-unknown environmental factors.
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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 | 0.001 | 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) | 0.002 | 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".