Identification of three novel alleles: DRB3*0110, DRB1*1140, and DRB1*140102
Bibliographic record
Abstract
Three novel human leukocyte antigen class II alleles (DRB3*0110, DRB1*1140, and DRB1*140102) are described here. The three novel alleles were initially detected as previously unidentified SSO hybridization patterns using CANTYPE((R)) reverse hybridization assay. Sequences were determined by cloning/sequencing. DRB3*0110 allele is identical to DRB3*010101, except for a single nucleotide substitution (CGC-->AGC) changing codon 39 from Arg to Ser. This polymorphism has not, until now, been identified in DRB allele. Thus, this is an unusual mutation as the codon 39 is a fairly conserved region. The new DRB1*1140 is identical to DRB1*1116, except for a single nucleotide substitution at codon 67 from ATC (encoding for isoleucine) to TTC (encoding for phenylalanine). This polymorphism is commonly found in DRB1*11 alleles. Compared with DRB1*140101, DRB1*140102 contains a single silent nucleotide substitution (TAT-->TAC, both encoding for tyrosine) at codon 78. This polymorphism is commonly found in DRB1*14 alleles. The three new DRB alleles may have been generated by a point mutation event. The DRB3*0110 and DRB1*140102 were identified in Caucasoid individuals. The ethnic origin of the subject carrying the DRB1*1140 allele is Egyptian. The DRB1*140102 was detected in two unrelated individuals; the DRB3*0110 and DRB1*1140 were only identified once, in a total population of 80,000.
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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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".