The frequency of allele CCR5Δ32 in a Serbian population
Bibliographic record
Abstract
Background: The mutant CCR5Δ32 allele confers resistance to HIV infection. Several hypotheses regarding its origin and persistence in the human population have been proposed. It is assumed that the Δ32 mutation was introduced in Northern or Eastern Europe and that it spread to the south. Although the frequency of CCR5Δ32 was determined in numerous European nations and regions, further data are needed to complete the puzzle of CCR5Δ32 distribution within the continent. Methods: To this end, CCR5Δ32 frequency was determined in a Serbian population (sample size 352). DNA was extracted from peripheral whole blood and polymerase chain reaction specific for CCR5 gene was performed. A reaction product of 263 bp was obtained from the wildtype CCR5 sequence and a product of 231 bp was obtained from the truncated CCR5Δ32 sequence. Results: Overall allele frequency of CCR5Δ32 is 4.55%; 0.57% of individuals in the examined population are homozygous and 8.52% are heterozygous for CCR5Δ32. Conclusions: The determined frequency of the CCR5Δ32 allele in a Serbian population is unexpectedly low, considering ethnically related populations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".