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<i>IRF4</i> polymorphism rs872071 and risk of Hodgkin lymphoma

2009· article· en· W2111030516 on OpenAlexaff
Peter Broderick, David Cunningham, Jayaram Vijayakrishnan, Rosie Cooke, Alan Ashworth, Anthony J. Swerdlow, Richard S. Houlston

Bibliographic record

VenueBritish Journal of Haematology · 2009
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsInstitute of Cancer Research
FundersCancer Research UK
KeywordsIRF4Odds ratioGenotypeLymphomaChronic lymphocytic leukemiaHematologyOncologyConfidence intervalInternal medicineGeneticsBiologyMedicineImmunologyGeneTranscription factorLeukemia

Abstract

fetched live from OpenAlex

The reciprocal familial risk between chronic lymphocytic leukaemia (CLL) and Hodgkin lymphoma (HL) suggests genetic variants with pleiotropic effects may influence the risk of both CLL and HL. We have recently shown that the IRF4 variant rs872071 influences CLL risk. To examine if rs872071 genotype is associated with HL risk we genotyped two case-control series (totalling, 529 and 2192, respectively). This analysis provides evidence that IRF4 rs872071 influences HL risk; Odds Ratio = 1.21 (95% confidence interval: 1.05-1.39, P = 0.009) and highlights the importance of inherited variation in B-cell developmental genes in the development of HL.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.594
Threshold uncertainty score0.542

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.265
Teacher spread0.256 · 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 designCase report
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

Citations17
Published2009
Admission routes1
Has abstractyes

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