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DNA microsatellite and linkage analysis supports the inclusion of LOCR in the Rh blood group system

2003· article· en· W1964003136 on OpenAlexaff
Gail Coghlan, Teresa Zelinski

Bibliographic record

VenueTransfusion · 2003
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsManitoba HealthChildren's Hospital Research Institute of ManitobaUniversity of Manitoba
Fundersnot available
KeywordsMicrosatelliteGeneticsBiologySerologyGenetic linkageRh blood group systemChromosomegenomic DNAAntigenDNAMolecular biologyGeneAntibodyAllele

Abstract

fetched live from OpenAlex

BACKGROUND: In 1994, a new low-incidence RBC antigen called LOCR was described. It was established that RBCs expressing LOCR had altered expression of Rh antigens (c or e). Unfortunately, because of an insufficient number of informative families, it was not possible to formally assign LOCR to the Rh blood group system by serology alone. STUDY DESIGN AND METHODS: Genomic DNA from 19 family members segregating for LOCR was analyzed for repeat polymorphisms of the chromosome 1p microsatellite markers D1S1612, D1S1597, D1S552, D1S247, and D1S2134. RESULTS: No evidence of recombination (in either paternal or maternal meioses) between LOCR and D1S1597, D1S552, or D1S247 was observed. Peak lods for combined paternal and maternal meioses were 2.41 for either LOCR:D1S552 or LOCR:D1S247. Lods for linkage between LOCR and D1S1597 peaked at 1.81 for maternal meioses alone. CONCLUSIONS: With serologic methods, a peak lod of 2.107 was determined previously between LOCR and RH. In this study, DNA analysis of the only informative family (with seven children) not segregating for RH yielded a peak lod of 1.81 between LOCR and D1S1597-D1S552-D1S247. By combining the results generated by each approach (lods of 3.917), evidence has been provided that supports the placement of LOCR in the Rh blood group system.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.006
GPT teacher head0.220
Teacher spread0.214 · 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 designObservational
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

Citations4
Published2003
Admission routes1
Has abstractyes

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