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Record W2465493682 · doi:10.1038/hgv.2016.20

Novel variation at chr11p13 associated with cystic fibrosis lung disease severity

2016· article· en· W2465493682 on OpenAlexaff
Hong Dang, Paul J. Gallins, Rhonda G. Pace, XueLiang Guo, Jaclyn R. Stonebraker, Harriet Corvol, Garry R. Cutting, Mitchell L. Drumm, Lisa J. Strug, Michael R. Knowles, Wanda K O’Neal

Bibliographic record

VenueHuman Genome Variation · 2016
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsSickKids FoundationHospital for Sick ChildrenPublic Health OntarioUniversity of Toronto
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesUniversity of California, Santa CruzNational Heart, Lung, and Blood InstituteAustralian GovernmentUniversity of WashingtonCystic Fibrosis Foundation
KeywordsLinkage disequilibriumCystic fibrosisIndelGeneticsDiseaseGenome-wide association studyImputation (statistics)Genetic associationGenotypeMedicineBiologyHaplotypeSingle-nucleotide polymorphismGeneInternal medicine

Abstract

fetched live from OpenAlex

Published genome-wide association studies (GWASs) identified an intergenic region with regulatory features on chr11p13 associated with cystic fibrosis (CF) lung disease severity. Targeted resequencing in n=377, followed by imputation to n=6,365 CF subjects, was used to identify unrecognized genetic variants (including indels and microsatellite repeats) associated with phenotype. Highly significant associations were in strong linkage disequilibrium and were seen only in Phe508del homozygous CF subjects, indicating a CFTR genotype-specific mechanism.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.271
Teacher spread0.255 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2016
Admission routes1
Has abstractyes

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