HLA-A, -B, -C, -DRB1, and -DQB1 Allele Lineages and Haplotype Frequencies among Saudis
Bibliographic record
Abstract
There are few reported studies on Saudi population for human leukocyte antigens (HLA) genes. We investigated allele lineages (two-digit) and haplotype frequencies of HLA-A, -B, -C, -DRB1, and -DQB1 loci in 499 healthy unrelated individuals, selected from potential bone marrow transplant (BMT) families’ donors at King Fahad Medical City (KFMC), Saudi Arabia (SA). Genotyping was performed by Sequence Specific Oligonucleotide Probe (SSOP) utilizing a Luminex-based method. Allele lineages and haplotype frequencies were evaluated along with principal component analysis (PCA) to compare findings with previously reported data on Arab related populations. A total of 18 allele lineages for HLA-A, 28 for -B, 14 for -C, 13 for -DRB1, and 5 for -DQB1 were detected. High values for linkage disequilibrium indicators were found for B:C ( D’ = 0.86599) and DRB1:DQB1 ( D’ = 0.89468) loci. Additionally, PCA results confirmed previous findings on this population, but also indicated some genetic distances from other Arab related populations. The present study helps in further investigations of this population in anthropological analysis and HLA-associated disease studies.
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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) | 0.001 | 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".