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Record W2107766358 · doi:10.1038/ng.501

Genome-wide association study identifies five loci associated with lung function

2009· article· en· W2107766358 on OpenAlexfundno aff
Emmanouela Repapi, Ian Sayers, Louise V. Wain, Paul R. Burton, Toby Johnson, Ma’en Obeidat, Jing Hua Zhao, Adaikalavan Ramasamy, Guangju Zhai, Véronique Vitart, Jennifer E. Huffman, Wilmar Igl, Eva Albrecht, Panos Deloukas, John Henderson, Raquel Granell, Wendy L. McArdle, Alicja R. Rudnicka, Inês Barroso, Ruth J. F. Loos, Nicholas J. Wareham, Linda Mustelin, Taina Rantanen, Ida Surakka, Medea Imboden, H.‐Erich Wichmann, Ivica Grković, Stipan Janković, Lina Zgaga, Anna‐Liisa Hartikainen, Leena Peltonen, Ulf Gyllensten, Åsa Johansson, Ghazal Zaboli, Harry Campbell, Sarah H. Wild, James F. Wilson, Sven Gläser, Georg Homuth, Henry Völzke, Massimo Mangino, Nicole Soranzo, Tim D. Spector, Ozren Polašek, Igor Rudan, Alan F. Wright, Markku Heliövaara, Samuli Ripatti, Anneli Pouta, Åsa Torinsson Naluai, Anna‐Carin Olin, Kjell Torén, Matthew N. Cooper, Lyle J. Palmer, Aroon D. Hingorani, S. Goya Wannamethee, Peter H. Whincup, George Davey Smith, Shah Ebrahim, Tricia M. McKeever, Ian Pavord, Andrew K. MacLeod, Andrew D. Morris, David J. Porteous, Cyrus Cooper, Elaine Dennison, Seif O. Shaheen, Stefan Karrasch, Eva Schnabel, Holger Schulz, Harald Grallert, Nabila Bouatia‐Naji, Jérôme Delplanque, Philippe Froguel, John Blakey, John Britton, Richard Morris, John W. Holloway, Debbie A. Lawlor, Jennie Hui, Fredrik Nyberg, Marjo‐Riitta Järvelin, Cathy Jackson, Mika Kähönen, Jaakko Kaprio, Nicole Probst‐Hensch, Beate Koch, Caroline Hayward, David M. Evans, Paul Elliott, David P. Strachan, Ian P. Hall, Martin D. Tobin

Bibliographic record

VenueNature Genetics · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesNational Institute of Child Health and Human DevelopmentNational Institute of Diabetes and Digestive and Kidney DiseasesBiocenter, University of OuluNational Heart, Lung, and Blood InstituteNIHR Cambridge Biomedical Research CentreHelmholtz Zentrum MünchenWellcome TrustCancer Research UKAsthma and Lung UKBiotechnology and Biological Sciences Research CouncilMedical Research CouncilDirectorate for Biological SciencesNational Institutes of HealthOulun YliopistoEuropean CommissionUniversity of BristolVetenskapsrådetHealthwayBritish Lung FoundationNational Institute of Mental HealthInternational Osteoporosis FoundationBundesministerium für Bildung und ForschungNational Institute for Health and Care ResearchGenome CanadaBritish Heart FoundationScottish GovernmentAstraZenecaTaysKing's College LondonJuvenile Diabetes Research Foundation International
KeywordsGenome-wide association studyBiologyGenotypingCOPDVital capacityLocus (genetics)GeneticsPulmonary function testingGenetic associationIn silicoLung functionInternal medicineBioinformaticsSingle-nucleotide polymorphismGenotypeMedicineLungGeneDiffusing capacity

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.001
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.242
Teacher spread0.238 · 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

Citations598
Published2009
Admission routes1
Has abstractno

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