Distinctive Swann Blood Group Genotypes: Molecular Investigations
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Phenotypically, Sw(a+) erythrocytes have been classified as either 700:4,41 or 700:4,-41. Since anti-700.4, in particular, and sometimes anti-700.41 are contained in reagents defining other low-incidence antigens that are members of the Diego blood group system, we undertook the current investigation in an attempt to establish whether or not Swann antigens are also Diego system members. MATERIALS AND METHODS: DNA from the members of three unrelated kindreds whose red cells type as Sw(a+) was isolated and analyzed for variation in SLC4A1 (solute carrier family, anion exchanger member 1 gene) by single-strand conformational polymorphism (SSCP) and DNA sequence analyses. RESULTS: Polymerase chain reaction-amplified exon 16 SLC4A1 products from the DNA of all Sw(a+) individuals displayed a mobility shift by SSCP. A similar mobility shift was not observed in the DNA from Sw(a-) family members or in the amplified DNA from control individuals. DNA sequencing revealed different mutations, CGG-->CAG and CGG-->TGG, that result in Arg646Gln and Arg646Trp substitutions in erythroid protein band 3, respectively. CONCLUSION: Through genotypic analyses, we have characterized two point mutations related to the Swann blood group. The possible relationship between the resultant amino acid substitutions and the expression of Swann antigens has been discussed.
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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".