Urdu speaking population from South India: Six extended haplotypes in linkage disequilibrium in Urdu Speaking Population
Bibliographic record
Abstract
HLA A: B:C:DRB1:DQB1 allele and haplotype frequencies were determined among Urdu speaking population from South India by Sanger and Next Generation Sequencing. Seventy bone marrow registry donors and 327 cord blood units from the Jeevan Stem Cell Foundation (part of Be The Cure Registry), Chennai, Tamilnadu were included in the study. No overall deviations from expected Hardy-Weinberg equilibrium proportions were observed at all the five loci studied. The most frequent HLA class I alleles observed in this population were A*11:01:01, B*40:06:01, and C*06:02:01, showing a frequency of 15.87%, 12.72%, and 13.22%, respectively. The most frequent class II alleles observed in this population were DRB1*07:01:01 (15.62%) and DQB1*06:01:01 (21.41%). The top ranked haplotype A*01:01:01~B*57:01:01~C*06:02:01~DRB1*07:01:01~DQB1*03:03:02 (2.77%) reported in the present study, was the highly frequent haplotype found in Telugu speaking population who lived in the same region.
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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 | 0.002 |
| 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) | 0.002 | 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".