Alleles of the <scp>LAN</scp> blood group system: molecular and serologic investigations
Bibliographic record
Abstract
BACKGROUND: Anti-Lan has been implicated in hemolytic transfusion reactions and hemolytic disease of the fetus and newborn. The LAN blood group system is encoded by ABCB6, whose gene product, ABCB6, belongs to the ATP-binding cassette (ABC) efflux transporter superfamily. The purpose of this study was to characterize additional alleles by analyzing DNA from 14 (13 unrelated) subjects whose red blood cells were serologically defined as Lan-, Lan+(w) /-, or Lan+(w) . STUDY DESIGN AND METHODS: Genomic DNA was extracted from blood samples recovered from liquid nitrogen storage. Intronic primers flanking each of the ABCB6 coding exons were used for polymerase chain reaction amplification. Amplicons were sequenced and analyzed by standard methods. RESULTS: Among the study subjects, we identified five alleles (one with a nonsense change, three with frameshifts, one with a missense change) that encode the Lan- phenotype and four alleles (with missense changes) encoding either Lan+(w) or Lan+(w) /- phenotypes. CONCLUSIONS: Of the nine alleles we identified, three were novel and six were previously documented in the dbSNP. Of these six, only one allele was previously associated with Lan negativity. To date, 19 ABCB6 alleles that encode Lan- or Lan+(w) /-, or Lan+(w) phenotypes have been described.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".