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Record W1564187268 · doi:10.1111/trf.12285

Alleles of the <scp>LAN</scp> blood group system: molecular and serologic investigations

2013· article· en· W1564187268 on OpenAlexaff
Marion E. Reid, Kim Hue‐Roye, Angela Huang, Randall W. Velliquette, Yoshihiko Tani, Connie M. Westhoff, Christine Lomas‐Francis, Teresa Zelinski

Bibliographic record

VenueTransfusion · 2013
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsAlleleGeneticsBiologyAmpliconPolymerase chain reactionMissense mutationgenomic DNAGeneMolecular biologyPhenotype

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.676
Threshold uncertainty score0.380

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.196
Teacher spread0.187 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2013
Admission routes1
Has abstractyes

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