GUTI: a new antigen in the Cromer blood group system
Bibliographic record
Abstract
BACKGROUND: The Cromer blood group system consists of seven high-incidence and three low-incidence antigens carried on decay-accelerating factor (DAF). This report describes the identification and characterization of a new Cromer high-incidence antigen, named GUTI. STUDY DESIGN AND METHODS: RT-PCR and sequence analysis were performed on cDNA prepared from a Chilean donor whose serum contained the alloantibody (anti-GUTI). Based on the observed point mutation, a PCR-RFLP assay using MaeII was developed. To map the epitope, DAF-deletion mutants were tested by immunoblotting with anti-GUTI. RESULTS: Sequence analysis revealed a substitution of 719G>A in DAF in the proband. The proband's parents and two daughters were heterozygotes for 719G>A, one sister whose RBCs typed GUTI- was homozygous for 719A, and one sister had the wild-type DAF (719G). Seven additional heterozygote samples were identified among 214 Chileans. No heterozygotes were found in 197 New York donors. Analysis using DAF-deletion mutants showed the antigenic determinant to be within short consensus repeat (SCR) 4. CONCLUSION: This study describes a novel high- incidence antigen (GUTI) in the Cromer blood group system characterized by the amino acid arginine at position 206 in SCR4 of DAF. The GUTI-negative proband has a substitution mutation that predicts for histidine at this position.
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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 | 0.000 | 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".