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Record W2103653084 · doi:10.1517/14622416.2.4.329

Recent developments in the genetics of asthma

2001· review· en· W2103653084 on OpenAlex
Jian‐Qing He, Ladina Joos, Andrew J. Sandford

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePharmacogenomics · 2001
Typereview
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsAsthmaLeukotrieneLeukotriene C4PharmacogeneticsGeneB2 receptorGenotypeMedicineGeneticsPathogenesisBioinformaticsImmunologyBiologyReceptor

Abstract

fetched live from OpenAlex

Asthma is a complex genetic disease with multiple genes involved in the pathogenesis. Some of these genes have been investigated to determine whether they influence an individual's response to asthma medication. We summarise the recent developments in the genetics of asthma as they pertain to the three main treatments available - inhaled glucocorticoids (GCs), (2)-agonists and leukotriene modulators. It has been shown that polymorphisms in the (2)-adrenergic receptor ((2)AR) gene influence responsiveness to (2)-agonists. Polymorphisms in the 5-lipoxygenase (5-LO) gene and the leukotriene C(4) (LTC4) synthase gene have been associated with response to medications that target the LT pathway. However, no polymorphisms have been identified that influence response to anticholinergics or are involved in steroid resistance. In the future, knowledge of an individual's genotype may help us tailor treatment to make it the most appropriate form for that asthmatic individual.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.996
Threshold uncertainty score0.740

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.103
GPT teacher head0.399
Teacher spread0.296 · 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