Analysis of Gene Polymorphism CYP2C19 in the Lebanese Population Who Reside in Colombia
Bibliographic record
Abstract
BACKGROUND: The aim of this study is to determine the polymorphism of the CYP2C19 gene in the Lebanese population living in Colombia due to the lack of information and the importance of establishing its behavior which can predict a diminished or increased metabolism of medication related to it.METHODS & RESULTS: 109 Lebanese volunteers residents of Colombia were included, genotypes for the CYP2C19 were detected by polymerase Chain Reaction-PCR finding that the most frequent allele was *1 (73.4%), followed by *2 (26.6%) the allele *3 was not found in the studied population. Only fast metabolites were found because of the *1/*1 (73.4%) and *1/*2 (26.6%) genotypes, any *1/*3, *2/*2 or *3/*3 genotype were found. CONCLUSIONS: The results obtained show a similar behavior with the alleles frequencies of the previous studies made in Colombia, Africa, Europe and other American population. Knowing the genotype of the population is important for the selection and adjustment of the doses of the best medication to give the optimal treatment in medical practice. The pharmacogenetics will reduce the adverse reactions during medical treatment for a better and more accurate clinical approach.
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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 | 0.000 |
| 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) | 0.002 | 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".